Genética de españoles e hispanoamericanos

[gixajo]

Target: Gil_Vicente
Distance: 1.8592% / 0.01859229
39.2 Basque_Spanish
31.2 Italian
18.8 Scottish
6.6 Levantine
3.0 Yoruba
1.2 Berber

:comp26:

:confused:

[gixajo]

No tiene sentido...

:rotfl:

[gixajo]

Seamos positivos, no eres portugués, pero te ha bajado la distancia.:rotfl:

Habrá que ir afinando, pero en otro momento, es muy tarde ya.

Buenas noches.

[Damião de Góis]

:confused:

Ou seja, os Bascos retiraram-me o português e espanhol e subiram tudo o resto?

Não consigo explicar, mas penso que não me enganei

[Defcon2]

Dejad de pelearos y probad este engendro que hemos creado por casualidad, en el hilo de Nassbean:


Yoruba,-0.6300625,0.0625011,0.022113,0.0167079,0.0005035,0 .0124741,-0.044417,0.0477673,-0.0488813,0.0327694,0.0046205,0.0007904,0.0230561, 0.0009509,0.0125232,-0.0096067,0.0070763,0.0004491,0.006022,-0.00299,0.0015542,0.0023156,-0.0017592,-0.0004711,-0.0004246
Italian,0.1213354,0.1473534,0.0208925,-0.0145996,0.0292668,-0.0058844,0.0028435,0.0001615,0.0074653,0.0241279,-0.0002273,0.0063544,-0.0098859,-0.0045141,-0.0015744,-0.0027048,0.0011213,0.0008997,0.0021747,-0.0038269,-0.0025705,0.0018548,-0.0024033,0.0038316,-0.0014967
Berber,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
German,0.1302626,0.1373792,0.0579811,0.0387068,0.0 400035,0.0156461,0.0040665,0.0057865,0.003526,0.00 188,-0.0044133,0.0023732,-0.0053706,-0.0025417,0.0085125,0.0032913,-0.0032728,0.0016631,0.0033669,0.0017191,0.00314,0. 002005,7.18e-05,0.0083052,0.0002774
Scottish,0.1314657,0.1342312,0.0622654,0.0470426,0 .039106,0.0172812,0.0035502,0.0051756,0.0035719,0. 0028246,-0.005614,0.0050473,-0.0116806,-0.0119731,0.023024,0.0031254,-0.0112549,0.0027736,0.0025499,0.0014516,0.0042246, 0.0033076,-0.0006559,0.0135561,-0.0007698
Levantine,0.0853674,0.1486734,-0.0573978,-0.0925072,-0.0096018,-0.0350286,-0.002209,-0.0081688,0.016321,0.008237,0.0091586,-0.0099212,0.0204854,0.0118632,-0.0055372,0.0021214,-0.011239,0.0010134,0.0021116,-0.003652,-0.0005242,0.003116,0.000567,-0.0029402,0.0046462
Arab,0.0448462,0.143799,-0.0612444,-0.1170562,-0.0092324,-0.0479134,-0.0110452,-0.0045692,0.053626,-0.007581,0.0147122,-0.0271256,0.0514366,0.0055874,0.0004886,0.0201534,-0.021383,0.00451,0.0025894,0.0183086,0.0114298,0.0 13132,-0.0067292,0.004651,-0.0054844
Spanish,0.1195142,0.14649,0.041389,-0.000323,0.0468548,-0.0001395,-0.0005287,0.002942,0.0249008,0.036903,-0.0021518,0.0103035,-0.0176535,-0.0128335,0.0127578,-0.0027845,-0.0047592,-0.0007918,-0.0022312,0.0010005,0.0034625,9.28e-05,-0.0011708,-0.0010545,-0.0002395
Portuguese,0.1061741,0.1446114,0.0360075,-0.0044316,0.042137,-0.0040494,-0.0037412,0.0027598,0.0255982,0.029741,-0.000734,0.0074214,-0.0127373,-0.0112631,0.0125568,-0.0003978,-0.0011316,-0.0008869,-0.005762,-0.0002452,0.0011379,-0.002572,0.0013015,-0.0011326,-0.0001053

Me sale prácticamente lo que me da MH, por eso quiero ver que os da a los demás.

Con vascos.

Target: Juan_scaled
Distance: 2.6880% / 0.02687958
82.6 Spanish
13.6 Italian
2.4 Yoruba
1.4 Berber

Sin vascos.

Target: Juan_scaled
Distance: 2.6880% / 0.02687958
82.6 Spanish
13.6 Italian
2.4 Yoruba
1.4 Berber

Sabino Arana no tiene poder sobre mí.

Distance to: Juan_scaled
0.03254586 Portuguese
0.03572431 Spanish
0.05168298 Italian
0.08153223 German
0.08872690 Scottish
0.16083583 Levantine
0.20819413 Arab
0.43445023 Berber
0.74204841 Yoruba

[gixajo]

Con vascos.

Target: Juan_scaled
Distance: 2.6880% / 0.02687958
82.6 Spanish
13.6 Italian
2.4 Yoruba
1.4 Berber

Sin vascos.

Target: Juan_scaled
Distance: 2.6880% / 0.02687958
82.6 Spanish
13.6 Italian
2.4 Yoruba
1.4 Berber

Sabino Arana no tiene poder sobre mí.

Distance to: Juan_scaled
0.03254586 Portuguese
0.03572431 Spanish
0.05168298 Italian
0.08153223 German
0.08872690 Scottish
0.16083583 Levantine
0.20819413 Arab
0.43445023 Berber
0.74204841 Yoruba

Tampoco te sale nada excesivamente raro a tí, no?

A ver si lo hace Spaniard, que es también "especialito", creo que le pasará algo similar a Damiao.

Yo creo que metiendo tres o cuatro refeencias europeas y un par de no europeas...:rolleyes:

Si sale con barbas, San Antón, y si no...la Purísima Concepción.;)

[Grace O'Malley]

Dejad de pelearos y probad este engendro que hemos creado por casualidad, en el hilo de Nassbean:


Yoruba,-0.6300625,0.0625011,0.022113,0.0167079,0.0005035,0 .0124741,-0.044417,0.0477673,-0.0488813,0.0327694,0.0046205,0.0007904,0.0230561, 0.0009509,0.0125232,-0.0096067,0.0070763,0.0004491,0.006022,-0.00299,0.0015542,0.0023156,-0.0017592,-0.0004711,-0.0004246
Italian,0.1213354,0.1473534,0.0208925,-0.0145996,0.0292668,-0.0058844,0.0028435,0.0001615,0.0074653,0.0241279,-0.0002273,0.0063544,-0.0098859,-0.0045141,-0.0015744,-0.0027048,0.0011213,0.0008997,0.0021747,-0.0038269,-0.0025705,0.0018548,-0.0024033,0.0038316,-0.0014967
Berber,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
German,0.1302626,0.1373792,0.0579811,0.0387068,0.0 400035,0.0156461,0.0040665,0.0057865,0.003526,0.00 188,-0.0044133,0.0023732,-0.0053706,-0.0025417,0.0085125,0.0032913,-0.0032728,0.0016631,0.0033669,0.0017191,0.00314,0. 002005,7.18e-05,0.0083052,0.0002774
Scottish,0.1314657,0.1342312,0.0622654,0.0470426,0 .039106,0.0172812,0.0035502,0.0051756,0.0035719,0. 0028246,-0.005614,0.0050473,-0.0116806,-0.0119731,0.023024,0.0031254,-0.0112549,0.0027736,0.0025499,0.0014516,0.0042246, 0.0033076,-0.0006559,0.0135561,-0.0007698
Levantine,0.0853674,0.1486734,-0.0573978,-0.0925072,-0.0096018,-0.0350286,-0.002209,-0.0081688,0.016321,0.008237,0.0091586,-0.0099212,0.0204854,0.0118632,-0.0055372,0.0021214,-0.011239,0.0010134,0.0021116,-0.003652,-0.0005242,0.003116,0.000567,-0.0029402,0.0046462
Arab,0.0448462,0.143799,-0.0612444,-0.1170562,-0.0092324,-0.0479134,-0.0110452,-0.0045692,0.053626,-0.007581,0.0147122,-0.0271256,0.0514366,0.0055874,0.0004886,0.0201534,-0.021383,0.00451,0.0025894,0.0183086,0.0114298,0.0 13132,-0.0067292,0.004651,-0.0054844
Spanish,0.1195142,0.14649,0.041389,-0.000323,0.0468548,-0.0001395,-0.0005287,0.002942,0.0249008,0.036903,-0.0021518,0.0103035,-0.0176535,-0.0128335,0.0127578,-0.0027845,-0.0047592,-0.0007918,-0.0022312,0.0010005,0.0034625,9.28e-05,-0.0011708,-0.0010545,-0.0002395
Portuguese,0.1061741,0.1446114,0.0360075,-0.0044316,0.042137,-0.0040494,-0.0037412,0.0027598,0.0255982,0.029741,-0.000734,0.0074214,-0.0127373,-0.0112631,0.0125568,-0.0003978,-0.0011316,-0.0008869,-0.005762,-0.0002452,0.0011379,-0.002572,0.0013015,-0.0011326,-0.0001053

Me sale prácticamente lo que me da MH, por eso quiero ver que os da a los demás.

Just wanted to try this calculator out of interest but I guess it's not particularly relevant to me.

Target: Grace_scaled
Distance: 1.9636% / 0.01963632
100.0 Scottish

Distance to: Grace_scaled
0.01963632 Scottish
0.03333011 German
0.08366022 Spanish
0.08993079 Portuguese
0.09875397 Italian
0.21887245 Levantine
0.26387054 Arab
0.48799020 Berber
0.78208677 Yoruba

[Gallop]

Target: Gallop_scaled
Distance: 2.1228% / 0.02122777
62.4 Spanish
31.8 Portuguese
4.2 Scottish
0.8 Berber
0.8 Yoruba

Distance to: Gallop_scaled
0.02312202 Portuguese
0.02553041 Spanish
0.05092957 Italian
0.07141790 German
0.07812947 Scottish
0.16525300 Levantine
0.21097862 Arab
0.44053493 Berber
0.75180926 Yoruba

[Defcon2]

Just wanted to try this calculator out of interest but I guess it's not particularly relevant to me.

Target: Grace_scaled
Distance: 1.9636% / 0.01963632
100.0 Scottish

Distance to: Grace_scaled
0.01963632 Scottish
0.03333011 German
0.08366022 Spanish
0.08993079 Portuguese
0.09875397 Italian
0.21887245 Levantine
0.26387054 Arab
0.48799020 Berber
0.78208677 Yoruba

Your German is at the same distance as my first Iberian ... I don't understand why I have so much distance.

[Rocinante]

Siempre es bueno tener una muestra baltica/eslavica en los modelos.

Distance: 2.8724% / 0.02872449
41.2 Italian
40.2 Portuguese
13.2 German
3.0 Berber
2.0 Arab
0.4 Yoruba

[gixajo]

Ampliando lo de ayer, se me ocurrió hacer éste:

Africa vs Europe vs Asia


African:Yoruba,-0.6300625,0.0625011,0.022113,0.0167079,0.0005035,0 .0124741,-0.044417,0.0477673,-0.0488813,0.0327694,0.0046205,0.0007904,0.0230561, 0.0009509,0.0125232,-0.0096067,0.0070763,0.0004491,0.006022,-0.00299,0.0015542,0.0023156,-0.0017592,-0.0004711,-0.0004246
European:Italian,0.1213354,0.1473534,0.0208925,-0.0145996,0.0292668,-0.0058844,0.0028435,0.0001615,0.0074653,0.0241279,-0.0002273,0.0063544,-0.0098859,-0.0045141,-0.0015744,-0.0027048,0.0011213,0.0008997,0.0021747,-0.0038269,-0.0025705,0.0018548,-0.0024033,0.0038316,-0.0014967
African:Berber,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
European:German,0.1302626,0.1373792,0.0579811,0.03 87068,0.0400035,0.0156461,0.0040665,0.0057865,0.00 3526,0.00188,-0.0044133,0.0023732,-0.0053706,-0.0025417,0.0085125,0.0032913,-0.0032728,0.0016631,0.0033669,0.0017191,0.00314,0. 002005,7.18e-05,0.0083052,0.0002774
European:Irish,0.1334042,0.134875,0.0610876,0.0482 532,0.0383388,0.0188992,0.003,0.0047738,0.0031318, 0.002725,-0.00714,0.005606,-0.0143759,-0.0139278,0.0253478,0.0048208,-0.0110725,0.0022052,0.0007502,0.0013385,0.0051745, 0.0012249,-0.0003563,0.0147667,0.0010665
Asian:Levantine,0.0853674,0.1486734,-0.0573978,-0.0925072,-0.0096018,-0.0350286,-0.002209,-0.0081688,0.016321,0.008237,0.0091586,-0.0099212,0.0204854,0.0118632,-0.0055372,0.0021214,-0.011239,0.0010134,0.0021116,-0.003652,-0.0005242,0.003116,0.000567,-0.0029402,0.0046462
Asian:Arab,0.0448462,0.143799,-0.0612444,-0.1170562,-0.0092324,-0.0479134,-0.0110452,-0.0045692,0.053626,-0.007581,0.0147122,-0.0271256,0.0514366,0.0055874,0.0004886,0.0201534,-0.021383,0.00451,0.0025894,0.0183086,0.0114298,0.0 13132,-0.0067292,0.004651,-0.0054844
European:Spanish1,0.1195142,0.14649,0.041389,-0.000323,0.0468548,-0.0001395,-0.0005287,0.002942,0.0249008,0.036903,-0.0021518,0.0103035,-0.0176535,-0.0128335,0.0127578,-0.0027845,-0.0047592,-0.0007918,-0.0022312,0.0010005,0.0034625,9.28e-05,-0.0011708,-0.0010545,-0.0002395
European:Portuguese,0.1061741,0.1446114,0.0360075,-0.0044316,0.042137,-0.0040494,-0.0037412,0.0027598,0.0255982,0.029741,-0.000734,0.0074214,-0.0127373,-0.0112631,0.0125568,-0.0003978,-0.0011316,-0.0008869,-0.005762,-0.0002452,0.0011379,-0.002572,0.0013015,-0.0011326,-0.0001053
European:Basque,0.1319083,0.1504111,0.0582862,0.00 90081,0.0575834,0.0001239,-0.0033162,0.0004102,0.0313603,0.0455997,-0.0045288,0.0116063,-0.0227781,-0.0187627,0.0179452,0.0037271,-0.0058094,0.0027731,-0.0018156,-6.96e-05,0.0087901,0.0024868,-0.0068883,-0.0090371,0.0022619
Asian:Amerindian,0.0529278,-0.328016,0.1120048,0.0774392,-0.1061738,-0.0184068,-0.1983488,-0.2347978,-0.0037325,-0.020137,0.0082817,-0.0034098,0.0063925,6.87e-05,-0.0151328,-0.004508,-0.0005215,0.0032622,0.0115015,0.0073472,0.0038682,-0.0107578,0.0027115,0.0062055,0.0092805
European:Greek,0.118376,0.1438667,0.0037713,-0.0325153,0.0159003,-0.010412,0.001645,-0.000923,-0.000409,0.018102,0.000108,0.0039467,-0.0058967,0.0037157,-0.016377,0.0023863,0.0134297,0.0003377,0.009176,-0.0007083,-0.0092753,0.003998,0.0013967,-0.0001203,-0.0033927
Asian:Chinese,0.0220816,-0.454551,-0.0059588,-0.067184,0.0749678,0.03224,0.000235,-0.0044306,-0.0137848,0.0022232,-0.0520616,-0.0056348,0.0087414,-0.0073766,-0.005293,0.000106,0.0019038,0.0009374,-0.004148,-0.0133564,0.0203392,0.0022008,0.0134092,-0.0006268,-0.005173
Asian:Iranian,0.0916275,0.1077846,-0.0632191,-0.0225219,-0.045365,0.0040439,0.0018586,-0.005318,-0.028373,-0.0168403,-0.0002509,0.000361,0.0043652,-0.0049418,0.0071253,0.0135542,-0.0035262,0.002885,0.0017313,-0.0087712,-0.0032216,-0.0037657,0.0006777,-0.003489,0.0053669
European:SlavicA,0.1318405,0.1292694,0.0698685,0.0 577382,0.0406754,0.0217127,0.0086781,0.0108626,-0.0009329,-0.0185524,-0.0043488,-0.0064187,0.013093,0.0186295,-0.0070244,-0.0005595,0.0015455,-7.41e-05,0.0026948,0.0012872,-0.0031286,-0.0031185,0.0056063,-0.0033328,-8.76e-05
European:SlavicB,0.1308965,0.1216098,0.0735385,0.0 608855,0.0360838,0.0225205,0.009694,0.011711,-0.0024542,-0.0240098,0.0008118,-0.0079052,0.017282,0.024359,-0.0136402,-0.0037125,0.0012385,0.0011085,0.0028285,0.0034392,-0.0023708,-0.0032148,0.0023725,-0.0050305,-0.0019758
European:SlavicC,0.1309273,0.1240867,0.0683506,0.0 575551,0.0376867,0.0212936,0.0087651,0.0113072,-0.002891,-0.0210999,-0.0016327,-0.0076594,0.0153563,0.0216328,-0.0112354,-0.0010965,0.0046903,-0.0006985,0.0025989,0.0017002,-0.0044989,-0.003479,0.0067387,-0.0040578,0.0007217
European:Spanish2,0.1050967,0.1499597,0.033061,-0.0011843,0.0409303,-0.0027887,-0.003995,-0.0010003,0.024679,0.031223,-0.0012993,0.0050453,-0.0106047,-0.012248,0.007555,0.0026077,-0.002347,-0.003294,-0.0064107,0.000417,0.0021213,-0.00474,-0.0014787,-0.0027713,0.0014373
Asian:Turkish,0.097275,0.0841327,-0.0305758,-0.0405241,-0.0228443,-0.0133439,0.0035069,-0.0019525,-0.021066,-0.0021728,-0.0002998,0.0027898,-0.0036708,0.0009528,-0.0056584,-0.0015502,0.0006519,0.0011109,0.0010635,-0.0017988,-0.0013438,0.0018834,-0.0018203,-0.0004636,0.0004421
Asian:Azeri,0.0921965,0.0891527,-0.0493829,-0.040613,-0.0361848,-0.0047412,0.0043166,-0.0038378,-0.0282782,-0.0097641,-0.0018205,-0.0002366,0.0007668,-0.0014849,0.0015502,0.0043266,-0.002594,0.0012203,0.0019714,-0.0048904,-0.0002365,-0.0010218,-0.0012131,-0.0022832,0.0008886
African:Bantu,-0.600986,0.062455,0.014708,0.0117895,0.002,0.00753 ,-0.012338,0.0265375,0.0029655,-0.0244195,-0.0023545,0.013338,-0.0320365,0.003303,-0.0352875,0.025921,-0.015255,-0.0043705,-0.0152725,0.006003,0.00287,-0.0051315,-0.0030195,0.0003615,0.0022155
Asian:Balochi,0.068863,0.0518768,-0.1006282,0.0307388,-0.0726032,0.0314913,0.0055812,0.0015768,-0.0227362,-0.0208053,-0.0038838,-0.002148,0.0039271,-0.0080164,0.0159583,0.0300978,-0.0101374,0.0029245,0.0072694,-0.0265127,-0.0010711,-0.0152092,0.0003698,-0.0160965,0.0137612
Asian:Dong,0.0161882,-0.4507823,-0.0269014,-0.0680812,0.1080886,0.0530821,-0.0002872,-0.0074869,-0.0150439,-0.0095774,-0.021363,-0.0045626,0.0053021,-0.0076609,-0.0034532,0.0017237,0.0043606,-0.0002814,-0.0030168,-0.0116584,0.0161243,0.0068557,0.0160086,-0.0019014,0.0010113
European:English,0.1318551,0.137043,0.0617883,0.04 4013,0.0392299,0.0167481,0.0049845,0.0057448,0.005 2637,0.0056781,-0.0047691,0.0056161,-0.0125892,-0.0103507,0.0206153,0.0035521,-0.0103689,0.004094,0.003685,0.0029619,0.0059369,0. 0034036,-0.0032693,0.0137938,3.16e-05
European:French,0.1271714,0.1414355,0.0504313,0.02 39901,0.0409027,0.0093048,0.0027985,0.0054544,0.01 16022,0.0181739,-0.0077061,0.0068121,-0.0129065,-0.0103844,0.0137695,0.0060631,-0.0018255,0.0046644,0.0027082,-0.0009778,0.0022007,0.0035747,-0.0012325,0.0111405,-0.0019051
European:Georgian,0.108132,0.1332374,-0.0619988,-0.0459952,-0.0383456,-0.0089246,0.0113746,-0.0056768,-0.0639748,-0.0175312,-0.0004546,0.0130384,-0.0251532,0.0072388,0.001873,-0.0238662,0.0070668,-0.0044088,-0.0095026,0.0153074,0.0115046,0.0013602,2.46e-05,-0.0070852,-0.0017964
Asian:Gujarati,0.0513912,-0.0577328,-0.1560525,0.1108222,-0.0805842,0.0621926,-0.0002232,0.0116072,0.033,0.0188524,-0.0064955,8.24e-05,-0.0021779,0.0017408,-0.0006786,0.0003778,0.0008801,-0.0001711,-0.0014267,-0.0039332,0.0014288,-0.0033139,0.0011093,0.0011266,-0.0029757
Asian:Han1,0.0254964,-0.4441926,0.0088248,-0.0643416,0.0505322,0.020415,0.0067212,0.0033692,-0.0136212,0.0037906,-0.076355,-0.01142,0.0121306,-0.0083674,-0.0050218,0,0.0025556,-0.0011656,-0.0014832,-0.004377,0.0109056,0.0073698,0.0085288,-0.001687,-0.001868
Asian:Han2,0.0220816,-0.454551,-0.0059588,-0.067184,0.0749678,0.03224,0.000235,-0.0044306,-0.0137848,0.0022232,-0.0520616,-0.0056348,0.0087414,-0.0073766,-0.005293,0.000106,0.0019038,0.0009374,-0.004148,-0.0133564,0.0203392,0.0022008,0.0134092,-0.0006268,-0.005173
Asian:Hazara,0.0660172,-0.1622816,-0.0037712,0.0005168,-0.0405612,0.0043506,0.007755,0.0059536,-0.0124348,-0.0049568,-0.022637,-0.0029374,0.0022002,-0.0036884,0.0035286,0.0036064,-0.005737,0.0021032,0.0043996,0.0007004,-0.007936,-0.0018052,-0.0059652,-0.0006268,0.0021794
European:Hungarian,0.1270753,0.1296252,0.0553559,0 .0364298,0.0363804,0.0119326,0.0066138,0.0075326,0 .0020597,-0.0046731,-0.0014731,-0.0027191,0.0038544,0.0087488,-0.0043722,0.0001231,-8.4e-05,-0.0003891,0.0026486,-0.0013221,-0.003378,0.0013865,0.0055286,0.0026939,0.0004789
Asian:Kazakh,0.0676109,-0.2193543,0.0449527,-0.0068153,-0.0360989,-0.0139445,0.0105284,0.0112148,-0.0065242,-0.0015306,-0.0223771,-0.0026377,0.0011002,-0.0012386,0.001425,0.0014985,0.000339,0.000418,0.0 016591,0.0059152,-0.0139006,-0.0059476,-0.0084054,0.0005302,0.0011376
African:Kongo,-0.628304,0.064994,0.020365,0.017442,-0.000615,0.016176,-0.016451,0.020076,-0.033746,0.020228,0.008607,-0.003147,-0.001933,0.001514,-0.006786,0.00769,-0.009648,0.00114,0.001257,0.003502,-0.002496,-0.000989,0.001109,-0.001084,-0.006826
Asian:Korean,0.0227267,-0.4546526,0.0184538,-0.0641155,0.0393303,0.0116484,0.0054755,0.0033615,-0.0087399,0.0063599,-0.0745742,-0.008947,0.0103418,-0.0051105,-0.0085052,-0.002559,0.0012865,0.0022087,-0.0005237,-0.0077496,0.0169077,-0.0043938,0.0076947,0.0005381,-0.0173996
Asian:Yemenite,0.0492282,0.1414123,-0.0630735,-0.1155542,-0.0106942,-0.0473418,-0.0094002,-0.0071535,0.0581358,-0.0025965,0.0128692,-0.0314348,0.0573088,0.003888,0.0038,0.0195902,-0.0204703,0.0039908,0.0031738,0.0221358,0.0107002, 0.0147148,-0.0130642,0.0085552,-0.008562
Asian:Gujarati,0.0513912,-0.0577328,-0.1560525,0.1108222,-0.0805842,0.0621926,-0.0002232,0.0116072,0.033,0.0188524,-0.0064955,8.24e-05,-0.0021779,0.0017408,-0.0006786,0.0003778,0.0008801,-0.0001711,-0.0014267,-0.0039332,0.0014288,-0.0033139,0.0011093,0.0011266,-0.0029757
African:Ethiopian,-0.4108256,0.0677019,-0.018479,-0.0372957,0.0001025,-0.0225345,0.024864,-0.0243837,0.1059571,-0.0875462,-0.0119303,-0.003367,-0.0153219,-0.0002385,0.0253525,-0.0231944,0.0240254,0.0186992,0.0048015,-0.0091294,-0.0014974,0.004501,-0.0029989,-0.0015904,0.0007504
European:Croatian,0.128051,0.1338467,0.0518917,0.0 314925,0.035822,0.0125223,0.0060161,0.0067381,0.00 18408,-0.0058862,-0.001153,-0.0023827,0.0047275,0.0127851,-0.0066365,-0.0022011,0.0027512,-0.0007223,0.0018101,-0.0007503,-0.005166,-0.0024236,0.0044246,-0.0010966,0.0001796

[Grace O'Malley]

Your German is at the same distance as my first Iberian ... I don't understand why I have so much distance.

Possibly the G25 doesn't have enough samples to cover all the diversity in certain populations. When they had lower Irish amounts I did not get Irish as my no 1 population but Icelandic but then Davidski got more Irish samples and now my no 1 is Ireland. I think that is why you might have higher distances.

[gixajo]

Siempre es bueno tener una muestra baltica/eslavica en los modelos.

Distance: 2.8724% / 0.02872449
41.2 Italian
40.2 Portuguese
13.2 German
3.0 Berber
2.0 Arab
0.4 Yoruba

Estaba haciendo el tonto, salió algo parecido a lo de MH y lo puse aquí, no pretende ser preciso, era para ver que salía a los demás.

[Gallop]

Lo más parecido a mi resultados en FTDNA donde african es un 4%

Target: Gallop_scaled
Distance: 1.7425% / 0.01742486
95.0 European
5.0 African


Distance to: Gallop_scaled
0.02312202 European:Portuguese
0.02553041 European:Spanish1
0.02795867 European:Spanish2
0.04529373 European:Basque
0.05056169 European:French
0.05092957 European:Italian
0.07141790 European:German
0.07477139 European:English
0.07854790 European:Croatian
0.07932981 European:Hungarian
0.08024596 European:Irish
0.08292518 European:Greek
0.10899741 European:SlavicA
0.11387907 European:SlavicC
0.12029653 European:SlavicB
0.14054300 Asian:Turkish
0.15939363 Asian:Azeri
0.16525300 Asian:Levantine
0.16708445 Asian:Iranian
0.17844017 European:Georgian
0.21097862 Asian:Arab
0.21324116 Asian:Yemenite
0.23382149 Asian:Balochi
0.33108700 Asian:Hazara
0.34269044 Asian:Gujarati
0.34269044 Asian:Gujarati
0.38027404 Asian:Kazakh
0.44053493 African:Berber
0.55206902 African:Ethiopian
0.60318873 Asian:Amerindian
0.60773073 Asian:Han1
0.61700084 Asian:Korean
0.61890828 Asian:Chinese
0.61890828 Asian:Han2
0.62152789 Asian:Dong
0.72063855 African:Bantu
0.74581222 African:Kongo
0.75180926 African:Yoruba

[gixajo]

Possibly the G25 doesn't have enough samples to cover all the diversity in certain populations. When they had lower Irish amounts I did not get Irish as my no 1 population but Icelandic but then Davidski got more Irish samples and now my no 1 is Ireland. I think that is why you might have higher distances.

It was only a game, I got a result quite similar to my MH result with very few sources, and I wanted to see what results other Iberians obtained.

Try the "Africa vs Europa vs Asia" model, for fun, it has more samples that could fit better to you.

[gixajo]

Lo más parecido a mi resultados en FTDNA donde african es un 4%

Target: Gallop_scaled
Distance: 1.7425% / 0.01742486
95.0 European
5.0 African


Distance to: Gallop_scaled
0.02312202 European:Portuguese
0.02553041 European:Spanish1
0.02795867 European:Spanish2
0.04529373 European:Basque
0.05056169 European:French
0.05092957 European:Italian
0.07141790 European:German
0.07477139 European:English
0.07854790 European:Croatian
0.07932981 European:Hungarian
0.08024596 European:Irish
0.08292518 European:Greek
0.10899741 European:SlavicA
0.11387907 European:SlavicC
0.12029653 European:SlavicB
0.14054300 Asian:Turkish
0.15939363 Asian:Azeri
0.16525300 Asian:Levantine
0.16708445 Asian:Iranian
0.17844017 European:Georgian
0.21097862 Asian:Arab
0.21324116 Asian:Yemenite
0.23382149 Asian:Balochi
0.33108700 Asian:Hazara
0.34269044 Asian:Gujarati
0.34269044 Asian:Gujarati
0.38027404 Asian:Kazakh
0.44053493 African:Berber
0.55206902 African:Ethiopian
0.60318873 Asian:Amerindian
0.60773073 Asian:Han1
0.61700084 Asian:Korean
0.61890828 Asian:Chinese
0.61890828 Asian:Han2
0.62152789 Asian:Dong
0.72063855 African:Bantu
0.74581222 African:Kongo
0.75180926 African:Yoruba


Si pones aggregate: no, te saldrá el desglose por etnias/nacionalidades.

[Gallop]

Desglose


Target: Gallop_scaled
Distance: 1.7425% / 0.01742486
67.6 European:Basque
10.4 European:Spanish1
9.0 European:Georgian
4.2 European:SlavicB
2.6 European:Greek
2.6 African:Ethiopian
2.4 African:Berber
1.2 European:SlavicA

[mitalit]

Target: Xabier_scaled
Distance: 2.3585% / 0.02358491
52.4 Spanish
23.2 Italian
21.0 Scottish
2.2 Berber
1.0 German
0.2 Yoruba

[mitalit]

Estaba haciendo el tonto, salió algo parecido a lo de MH y lo puse aquí, no pretende ser preciso, era para ver que salía a los demás.

En mi caso si, aunque la parte no europea venia de asía.

[Damião de Góis]

Fui rever os meus resultados com as últimas samples scaled to site da eurogenes:

http://eurogenes.blogspot.com/2019/07/getting-most-out-of-global25_12.html

E sai isto. Basicamente sou 0% português no G25, portanto não tinha razão para estranhar os resultados anteriores :rolleyes:

Target: Gil_Vicente
Distance: 1.2977% / 0.01297668
26.6 Spanish_Pais_Vasco
18.8 Spanish_Cantabria
13.8 Spanish_Asturias
10.0 Basque_French
9.6 Iraqi_Jew
7.2 German_East
4.6 Italian_Lombardy
4.4 Shetlandic
1.8 Esan_Nigeria
1.0 Berber_Tunisia_Chen
0.8 Gambian
0.6 Iranian_Mazandarani
0.6 Papuan
0.2 Spanish_Extremadura

Distance to: Gil_Vicente
0.02256008 Spanish_Andalucia
0.02488614 Spanish_Extremadura
0.02507821 Spanish_Galicia
0.02589305 Spanish_Alacant
0.02597823 Portuguese
0.02627439 Spanish_Castilla_Y_Leon
0.02845471 Spanish_Eivissa
0.02973615 Spanish_Castilla_La_Mancha
0.03028934 Spanish_Valencia
0.03034411 Spanish_Mallorca
0.03062782 Spanish_Murcia
0.03140340 Spanish_Barcelones
0.03148799 Spanish_Cataluna
0.03172354 Spanish_Asturias
0.03199310 Spanish_Camp_de_Tarragona
0.03214734 Spanish_Baleares
0.03237051 Spanish_Menorca
0.03258607 Spanish_Terres_de_l'Ebre
0.03268666 Spanish_Cantabria
0.03279146 Spanish_Peri-Barcelona
0.03296248 Spanish_Penedes
0.03384714 Spanish_Aragon
0.03456525 Spanish_Girona
0.03470729 Spanish_Pirineu
0.03485722 Spanish_Lleida

[PT Tagus]

^^Adicionaram recentemente novas samples?

[Damião de Góis]

^^Adicionaram recentemente novas samples?

Não tenho a certeza, mas estão constantemente a acrescentar samples novas. Por isso é melhor sempre usar o ficheiro que está lá.

[PT Tagus]

Eu acho que nunca cheguei a ser Português no G25 :lol:, de qualquer forma existe apenas uma sample Portuguese o que não é de todo representativo.

pop averages modern

Target: Endovelicus_scaled
Distance: 1.1699% / 0.01169913
40.6 Basque_French
12.8 Spanish_Castilla_Y_Leon
10.4 Italian_Lombardy
8.8 BedouinB
8.0 French_Seine-Maritime
5.6 Italian_Liguria
5.2 Spanish_Eivissa
3.0 Esan_Nigeria
1.8 Georgian_Imer
1.8 Mozabite
1.2 Italian_Bergamo
0.4 Berber_Tunisia_Chen
0.2 Fulani
0.2 Mbuti


Distance to: Endovelicus_scaled
0.02574411 Spanish_Canarias
0.02875895 Spanish_Extremadura
0.02931457 Portuguese
0.03013592 Spanish_Andalucia
0.03059652 Spanish_Castilla_Y_Leon
0.03098700 Spanish_Galicia
0.03362421 Spanish_Murcia
0.03429102 Spanish_Eivissa
0.03557503 Spanish_Castilla_La_Mancha
0.03572557 Spanish_Menorca
0.03583045 Spanish_Alacant
0.03889188 Spanish_Baleares
0.03910024 Spanish_Valencia
0.03980500 Spanish_Mallorca
0.04027963 Spanish_Cataluna
0.04143737 Spanish_Camp_de_Tarragona
0.04165053 Italian_Liguria
0.04199268 Spanish_Aragon
0.04209758 Spanish_Terres_de_l'Ebre
0.04231481 Spanish_Asturias
0.04297899 Spanish_Peri-Barcelona
0.04314702 Spanish_Barcelones
0.04418926 Spanish_Girona
0.04426052 Spanish_Lleida
0.04438060 Spanish_Navarra


Damião, estás a usar a datasheet populations averages modern ?

[Damião de Góis]

Damião, estás a usar a datasheet populations averages modern ?

Global25 pop averages modern scaled

Terceiro link do fim.

[gixajo]

Estoy jugando haciendo medias entre varios samples de la península.

Con 4 samples ibéricos he sacado estas coordenadas a ver si nos convienen a todos:


Iberian_Peninsula,0.114392,0.146490,0.040823,-0.000162,0.045311,-0.000697,-0.001765,0.000693,0.023623,0.0365338,-0.001908,0.010303,-0.013639,-0.014691,0.013809,0.001226,0.002282,-0.002534,0.000314,-0.000969,0.00121675,-0.003091,-0.005577,-0.002952,-0.003742

Básicamente son la media portuguesa de los samples individuales, más tres muestras españolas, una del este (Aragón) , una del oeste(Extremadura) y una del norte que tuviera parte vasca, pero no demasiado pura (una muestra del país vasco, pero sin constar como Basque_Spanish), la otra opción con algo de vasco hubiera sido una muestra Navarra o de La Rioja.

Lo he probado con varios modelos y no da cosas muy extravagantes, aunque le sale más vasco de lo que esperaba, pero he visto que varios portugueses y españoles les suele salir este componente, algunas veces más que a mí, así que así lo dejo.

Si queréis compararlo con vuestras coordenadas (scaled) a ver que distancias os da.:)

[gixajo]

Igual tiendo a hacer samples que se parecen a mí::picard1:

Soy un poco egoísta parece ser...

Debería haber puesto un sample diferente del vasco rebajado...

Target: Iberian_Peninsula
Distance: 2.5126% / 0.02512633
55.2 Early_European_Farmer
29.2 Steppe_Pastoralist
12.8 Western_Hunter-Gatherer
2.8 Iberomaurusian

Target: gixajo_scaled
Distance: 2.6934% / 0.02693394
55.6 Early_European_Farmer
28.4 Steppe_Pastoralist
14.2 Western_Hunter-Gatherer
1.8 Iberomaurusian

[Defcon2]

Distance to: Juan_scaled
0.03736251 Iberian_Peninsula

[Defcon2]

Estoy jugando haciendo medias entre varios samples de la península.

Con 4 samples ibéricos he sacado estas coordenadas a ver si nos convienen a todos:


Iberian_Peninsula,0.114392,0.146490,0.040823,-0.000162,0.045311,-0.000697,-0.001765,0.000693,0.023623,0.0365338,-0.001908,0.010303,-0.013639,-0.014691,0.013809,0.001226,0.002282,-0.002534,0.000314,-0.000969,0.00121675,-0.003091,-0.005577,-0.002952,-0.003742

Básicamente son la media portuguesa de los samples individuales, más tres muestras españolas, una del este (Aragón) , una del oeste(Extremadura) y una del norte que tuviera parte vasca, pero no demasiado pura (una muestra del país vasco, pero sin constar como Basque_Spanish), la otra opción con algo de vasco hubiera sido una muestra Navarra o de La Rioja.

Lo he probado con varios modelos y no da cosas muy extravagantes, aunque le sale más vasco de lo que esperaba, pero he visto que varios portugueses y españoles les suele salir este componente, algunas veces más que a mí, así que así lo dejo.

Si queréis compararlo con vuestras coordenadas (scaled) a ver que distancias os da.:)

No es un poco coñazo hacer promedios? teniendo que quitar los puntos por comas y cada serie de numeros ponerla en una celda distinta. No hay una forma más rápida?

[Defcon2]

...

[gixajo]

Distance to: Juan_scaled
0.03736251 Iberian_Peninsula

Me esperaba que tú tuvieras menos distancia, no puse Aragón, lo acabo de ver, puse Castilla y León+Extremadura+Portugal+País Vasco.

¿Qué medias de hasta 4 samples crees que daría un sample que sea representativo?

[mitalit]

Target: Xabier_scaled
Distance: 2.9540% / 0.02954047
100.0 Iberian_Peninsula

[Defcon2]

Me esperaba que tú tuvieras menos distancia, no puse Aragón, lo acabo de ver, puse Castilla y León+Extremadura+Portugal+País Vasco.

¿Qué medias de hasta 4 samples crees que daría un sample que sea representativo?

Creo que la mayoría de ibéricos daría en torno a un 3% con tus samples, lo que pasa es que mis coordenadas están un poco lejos de todo.

[gixajo]

No es un poco coñazo hacer promedios? teniendo que quitar los puntos por comas y cada serie de numeros ponerla en una celda distinta. No hay una forma más rápida?

Me ha costado un montón de tiempo.

Tengo una tabla sin terminar para hacerlo más rápido, pero hay que copiar y pegar cada coordenada una a una . Lo hice sumando con la calculadora , es un lío, y no descarto que me equivocara en algún número, aunque parece que si lo hice, no afecta mucho al resultado.

Tengo en este pc un programa de estadística más "profesional",que usé en su día para otras cosas, pero el pc es viejuno y ese programa de mierda requiere la capacidad de un ordenador de la NASA para funcionar bien. Se me queda abriendo durante horas sin acabar de hacerlo. No lo abro desde hace tiempo.

Tiene que haber una forma rápida de pasar una coordenada de estas a una tabla sin tener que ir una a una, habrá que investigar con el Open Office, igual es tan sencillo como seleccionar , botón derecho y "usar estos datos para elaborar una tabla".;)

[PT Tagus]

Distance to: Endovelicus_scaled
0.03917755 Iberian_Peninsula

Semelhante a Defcon2 :lol:

[Defcon2]

Me ha costado un montón de tiempo.

Tengo una tabla sin terminar para hacerlo más rápido, pero hay que copiar y pegar cada coordenada una a una . Lo hice sumando con la calculadora , es un lío, y no descarto que me equivocara en algún número, aunque parece que si lo hice, no afecta mucho al resultado.

Tengo en este pc un programa de estadística más "profesional",que usé en su día para otras cosas, pero el pc es viejuno y ese programa de mierda requiere la capacidad de un ordenador de la NASA para funcionar bien. Se me queda abriendo durante horas sin acabar de hacerlo. No lo abro desde hace tiempo.

Tiene que haber una forma rápida de pasar una coordenada de estas a una tabla sin tener que ir una a una, habrá que investigar con el Open Office, igual es tan sencillo como seleccionar , botón derecho y "usar estos datos para elaborar una tabla".;)

He encontrado una forma de quitar los puntos por comas y separar todas las series de números a cada columna, ¿cuál es el problema? qué el openoffice el muy hijodeputa me redondea algunos números :picard2:

Ahora "0,003" me lo pone en un 3, iré viendo ahora que está el server horror forero de los cojones.

[Damião de Góis]

Distance to: Gil_Vicente
0.03268798 Iberian_Peninsula

0.0326 é igual ao que tenho para a Cantabria:

Distance to: Gil_Vicente
0.02256008 Spanish_Andalucia
0.02488614 Spanish_Extremadura
0.02507821 Spanish_Galicia
0.02589305 Spanish_Alacant
0.02597823 Portuguese
0.02627439 Spanish_Castilla_Y_Leon
0.02845471 Spanish_Eivissa
0.02973615 Spanish_Castilla_La_Mancha
0.03028934 Spanish_Valencia
0.03034411 Spanish_Mallorca
0.03062782 Spanish_Murcia
0.03140340 Spanish_Barcelones
0.03148799 Spanish_Cataluna
0.03172354 Spanish_Asturias
0.03199310 Spanish_Camp_de_Tarragona
0.03214734 Spanish_Baleares
0.03237051 Spanish_Menorca
0.03258607 Spanish_Terres_de_l'Ebre
0.03268666 Spanish_Cantabria
0.03279146 Spanish_Peri-Barcelona
0.03296248 Spanish_Penedes
0.03384714 Spanish_Aragon
0.03456525 Spanish_Girona
0.03470729 Spanish_Pirineu
0.03485722 Spanish_Lleida

[Defcon2]

:):):):):):):):):):):):):):):):):):):):):):)

Distance to: Juan_scaled
0.02866042 Popurri_Ibérico

Target: Juan_scaled
Distance: 2.8660% / 0.02866042
100.0 Popurri_Ibérico


Popurri_Ibérico,0.104646,0.1449668125,0.0369343125 ,-0.00218025,0.0422385,-0.0020219375,-0.0034663125,0.004225875,0.0239805,0.030103125,-0.0028215625,0.006154,-0.0118743125,-0.0129968125,0.0093731875,-0.0017236875,-0.0036915625,-0.0015203125,-0.003008875,-0.002211875,-0.0001403125,-0.0019243125,0.0003313125,-0.0025830625,-0.0009205

[Damião de Góis]

:):):):):):):):):):):):):):):):):):):):):):)

Distance to: Juan_scaled
0.02866042 Popurri_Ibérico

Target: Juan_scaled
Distance: 2.8660% / 0.02866042
100.0 Popurri_Ibérico


Popurri_Ibérico,0.104646,0.1449668125,0.0369343125 ,-0.00218025,0.0422385,-0.0020219375,-0.0034663125,0.004225875,0.0239805,0.030103125,-0.0028215625,0.006154,-0.0118743125,-0.0129968125,0.0093731875,-0.0017236875,-0.0036915625,-0.0015203125,-0.003008875,-0.002211875,-0.0001403125,-0.0019243125,0.0003313125,-0.0025830625,-0.0009205

Não sei o que é um popurri, mas para mim ficou melhor:

Distance to: Gil_Vicente
0.02170143 Popurri_Ibérico

[Rocinante]

0.03488157 Popurri_Ibérico
0.04058874 Iberian_Peninsula

Bueno... No esta mal.

[Defcon2]

Não sei o que é um popurri, mas para mim ficou melhor:

Distance to: Gil_Vicente
0.02170143 Popurri_Ibérico

É a média de todas as coordenadas ibéricas que tenho :)

[mitalit]

Distance to: Xabier_scaled
0.02980428 Popurri_Ibérico

[gixajo]

He encontrado una forma de quitar los puntos por comas y separar todas las series de números a cada columna, ¿cuál es el problema? qué el openoffice el muy hijodeputa me redondea algunos números :picard2:

Ahora "0,003" me lo pone en un 3, iré viendo ahora que está el server horror forero de los cojones.

Esta es la media de los 3 samples de Extremadura+Portugal+castilla y León (sin el del País Vasco). la tabla la acabo de hacer, se puede usar para medias de samples de g25, pero hay que copiar y pegar cada coordenada una por una:


PCC1 PCC2 PCC3 PCC4 PCC5 PCC6 PCC7 PCC8 PCC9 PCC10 PCC11 PCC12 PCC13 PCC14 PCC15 PCC16 PCC17 PCC18 PCC19 PCC20 PCC21 PCC22 PCC23 PCC24 PCC25
sample1 0.112685 0.143190 0.036581 -0.010013 0.046778 -0.007809 -0.004700 -0.000692 0.015135 0.041003 0.002598 0.015137 -0.010258 -0.011698 0.016829 0.003182 0.013951 -0.008868 0.003520 -0.006003 -0.008485 -0.005193 -0.005546 -0.003012 -0.008143
sample2 0.113823 0.148267 0.038089 0.001292 0.044931 0.002789 -0.001175 0.002769 0.025770 0.032438 -0.002436 0.007793 -0.016799 -0.017616 0.013029 -0.000928 0.001304 -0.003674 -0.003645 0.006003 0.000374 -0.000618 -0.005176 -0.000241 -0.002155
sample3 0.099026 0.146236 0.031678 0.001938 0.039084 -0.001394 -0.004230 -0.003231 0.024543 0.034807 -0.001624 0.008692 -0.011744 -0.016239 0.007872 -0.000265 -0.001825 -0.001900 -0.007416 -0.002751 0.004991 -0.005317 -0.001725 -0.000120 0.002036
Average 0.108511 0.145898 0.035449 -0.002261 0.043598 -0.002138 -0.003368 -0.000385 0.021816 0.036083 -0.000487 0.010541 -0.012934 -0.015184 0.012577 0.000663 0.004477 -0.004814 -0.002514 -0.000917 -0.001040 -0.003709 -0.004149 -0.001124 -0.002754






Dime como era para compartir una tabla y asi podéis copiarla o cambiarla vosotros.

[PT Tagus]

:):):):):):):):):):):):):):):):):):):):):):)

Distance to: Juan_scaled
0.02866042 Popurri_Ibérico

Target: Juan_scaled
Distance: 2.8660% / 0.02866042
100.0 Popurri_Ibérico


Popurri_Ibérico,0.104646,0.1449668125,0.0369343125 ,-0.00218025,0.0422385,-0.0020219375,-0.0034663125,0.004225875,0.0239805,0.030103125,-0.0028215625,0.006154,-0.0118743125,-0.0129968125,0.0093731875,-0.0017236875,-0.0036915625,-0.0015203125,-0.003008875,-0.002211875,-0.0001403125,-0.0019243125,0.0003313125,-0.0025830625,-0.0009205

melhorou o fit

Distance to: Endovelicus_scaled
0.02735942 Popurri_Ibérico

[Defcon2]

Esta es la media de los 3 samples de Extremadura+Portugal+castilla y León (sin el del País Vasco). la tabla la acabo de hacer, se puede usar para medias de samples de g25, pero hay que copiar y pegar cada coordenada una por una:


PCC1 PCC2 PCC3 PCC4 PCC5 PCC6 PCC7 PCC8 PCC9 PCC10 PCC11 PCC12 PCC13 PCC14 PCC15 PCC16 PCC17 PCC18 PCC19 PCC20 PCC21 PCC22 PCC23 PCC24 PCC25
sample1 0.112685 0.143190 0.036581 -0.010013 0.046778 -0.007809 -0.004700 -0.000692 0.015135 0.041003 0.002598 0.015137 -0.010258 -0.011698 0.016829 0.003182 0.013951 -0.008868 0.003520 -0.006003 -0.008485 -0.005193 -0.005546 -0.003012 -0.008143
sample2 0.113823 0.148267 0.038089 0.001292 0.044931 0.002789 -0.001175 0.002769 0.025770 0.032438 -0.002436 0.007793 -0.016799 -0.017616 0.013029 -0.000928 0.001304 -0.003674 -0.003645 0.006003 0.000374 -0.000618 -0.005176 -0.000241 -0.002155
sample3 0.099026 0.146236 0.031678 0.001938 0.039084 -0.001394 -0.004230 -0.003231 0.024543 0.034807 -0.001624 0.008692 -0.011744 -0.016239 0.007872 -0.000265 -0.001825 -0.001900 -0.007416 -0.002751 0.004991 -0.005317 -0.001725 -0.000120 0.002036
Average 0.108511 0.145898 0.035449 -0.002261 0.043598 -0.002138 -0.003368 -0.000385 0.021816 0.036083 -0.000487 0.010541 -0.012934 -0.015184 0.012577 0.000663 0.004477 -0.004814 -0.002514 -0.000917 -0.001040 -0.003709 -0.004149 -0.001124 -0.002754






Dime como era para compartir una tabla y asi podéis copiarla o cambiarla vosotros.

La tabla del K13 que hiciste sirve, solo es necesario aumentar las celdas de cálculo para que cubra todas las series de números. No es necesario hacerlo una por una. :)

Si quieres te explico en caso de no saber.

[gixajo]

osea que el nuevo sample sería:


Iberian_Average2,0.108511,0.145898,0.035449,-0.002261,0.043598,-0.002138,-0.003368,-0.000385,0.021816,0.036083,-0.000487,0.010541,-0.012934,-0.015184,0.012577,0.000663,0.004477,-0.004814,-0.002514,-0.000917,-0.001040,-0.003709,-0.004149,-0.001124,-0.002754

Solo lo he probado en el Modern Averages Scaled, parece que está al menos bien hecho.

[gixajo]

La tabla del K13 que hiciste sirve, solo es necesario aumentar las celdas de cálculo para que cubra todas las series de números. No es necesario hacerlo una por una. :)

Si quieres te explico en caso de no saber.

Hombre, gracias por el consejo, pero esto que me acabas de decir te lo dije yo hace unos días :rolleyes: De todas formas tienes que cambiar el formato para aceptar porcentajes de la forma inglesa y aumentar hasta 6 decimales, viene como defecto con dos. Ya tengo todo eso hecho...

Lo que si necesito que me digas es como colgar la nueva tabla.

[PT Tagus]

osea que el nuevo sample sería:


Iberian_Average2,0.108511,0.145898,0.035449,-0.002261,0.043598,-0.002138,-0.003368,-0.000385,0.021816,0.036083,-0.000487,0.010541,-0.012934,-0.015184,0.012577,0.000663,0.004477,-0.004814,-0.002514,-0.000917,-0.001040,-0.003709,-0.004149,-0.001124,-0.002754

Solo lo he probado en el Modern Averages Scaled, parece que está al menos bien hecho.

Distance to: Endovelicus_scaled
0.03473619 Iberian_Average2

:rolleyes:

[Defcon2]

Hombre, gracias por el consejo, pero esto que me acabas de decir te lo dije yo hace unos días :rolleyes: De todas formas tienes que cambiar el formato para aceptar porcentajes de la forma inglesa y aumentar hasta 6 decimales, viene como defecto con dos. Ya tengo todo eso hecho...

Lo que si necesito que me digas es como colgar la nueva tabla.

https://docs.google.com/spreadsheets/u/0/

Le das al signo de plus donde pone debajo blank, luego a File > Import. Luego lo haces público cuando termines.

[gixajo]

Distance to: Endovelicus_scaled
0.03473619 Iberian_Average2

:rolleyes:

No importa, todo es ir probando con medias, podréis probar medias que más se adapten a cada uno jugando con la tabla esa.:thumb001:

A cada cual le irá mejor o peor un sample con unas medias y a otros con otras.

Aunque pensaba que una media Portugal+Extremadura+Castilla nos iría bien a todos...

Igual va mejor una Galicia+Andalucía+portugal...yo que sé.

O hacer una media de los portugueses de aquí, aunque si alguno se sale de la norma la media no representará a ninguno.

Habrá que ir probando.

[gixajo]

https://docs.google.com/spreadsheets/u/0/

Le das al signo de plus donde pone debajo blank, luego a File > Import. Luego lo haces público cuando termines.

Gracias, a ver si va bien.:thumb001:

la fórmula es para 3 samples(=SUMA(A4:A6)/3), si se quiere añadir más, hay que añadir más filas y cambiar el divisor de la fórmula al número total de samples.

[gixajo]

Creo que la mayoría de ibéricos daría en torno a un 3% con tus samples, lo que pasa es que mis coordenadas están un poco lejos de todo.

A mí me daba cosa de 1,6%.

[gixajo]

A ver si podéis verlo y modificarlo.

https://docs.google.com/spreadsheets/d/1Uhdv7TkCRAd3laBnUcHARMZBJwFsp7_Kd6vzV-nqCsU/edit?usp=sharing

Edit: está todo hecho a todo correr, así que si véis algún fallo pues...corregidlo. ;)

[gixajo]

Supongo que uno de mis errores es usarme a mí mismo como referencia para probar si da resultados medianamente normales, no debo ser muy normal:

Distance to: gixajo_scaled
0.01793911 Iberian_Peninsula
0.02416049 Iberian_Average2
0.02594884 Popurri_Ibérico

[Defcon2]

Supongo que uno de mis errores es usarme a mí mismo como referencia para probar si da resultados medianamente normales, no debo ser muy normal:

Distance to: gixajo_scaled
0.01793911 Iberian_Peninsula
0.02416049 Iberian_Average2
0.02594884 Popurri_Ibérico

Eres muy vascoide es normal, la mitad de mis coordenadas deben ser de portugueses. Aún así estás más cerca que yo.

[gixajo]

Eres muy vascoide es normal, la mitad de mis coordenadas deben ser de portugueses. Aún así estás más cerca que yo.

No creo que que uses coordenadas con 8 decimales afecte tanto,no? pero de todas formas, el segundo sample que hice está bastante más cercano a la media en modelos antiguos:

Por cierto, aumenta a 8 decimales el formato si quieres usar esa tabla .

Target: Iberian_Average2
Distance: 2.3179% / 0.02317937
54.2 Early_European_Farmer
30.8 Steppe_Pastoralist
10.6 Western_Hunter-Gatherer
4.4 Iberomaurusian

Target: Popurri_Ibérico
Distance: 1.8492% / 0.01849158
53.0 Early_European_Farmer
30.6 Steppe_Pastoralist
11.4 Western_Hunter-Gatherer
5.0 Iberomaurusian

Target: Iberian_Peninsula
Distance: 2.5126% / 0.02512638
55.2 Early_European_Farmer
29.2 Steppe_Pastoralist
12.8 Western_Hunter-Gatherer
2.8 Iberomaurusian

Target: gixajo_scaled
Distance: 2.6934% / 0.02693394
55.6 Early_European_Farmer
28.4 Steppe_Pastoralist
14.2 Western_Hunter-Gatherer
1.8 Iberomaurusian

[gixajo]

Se me ha pasado la tarde sin darme cuenta con la tontería :D

Bueno, al menos Defcon2 me ha dejado claro que debo buscar.:thumb001:

https://i.imgur.com/sQc3fh7.png

Edit: qué y cómo.!!!

[Defcon2]

Se me ha pasado la tarde sin darme cuenta con la tontería :D

Bueno, al menos Defcon2 me ha dejado claro que debo buscar.:thumb001:

https://i.imgur.com/sQc3fh7.png

Edit: qué y cómo.!!!

Cómo copio los números del average una vez hecho? solo me sale la fórmula.

[gixajo]

Me váis a odiar, lo sé.

A ver si mejoramos esas distancias...;)


Western_Iberia,0.102441,0.145729,0.036392,-0.000002,0.037699,-0.000976,-0.004818,-0.004385,0.025770,0.032529,-0.001624,0.011090,-0.012562,-0.014726,0.011469,0.000862,0.000065,-0.000765,-0.007919,-0.002001,0.001622,-0.003524,-0.001910,-0.001325,0.001797

[gixajo]

Cómo copio los números del average una vez hecho? solo me sale la fórmula.

No entiendo...en la línea de abajo deberían salir números que son el resultado de la fórmula, copias todos y pegas en un nuevo post, y luego les añades aquí el nombre, y tieens que quitar un espacio entre cada coordenada y poner una coma.

Es un auténtico coñazo, para hacer una simple media, con o sin la tabla mierdosa esa se tarda un huevo.

El office te pone los decimales con punto, luego no funciona la fórmula, cambias el formato, da error... es una pesadilla. Luego cambio a decimales con coma y no me funciona la fórmula porque me sale una comilla simple delante da cada cifra y tengo que borrarlas una a una...:picard1:

Para hacer una mísera media la de vueltas que hay que dar. No sé porqué, ni que hice o dejé de hacer, pero se supone que funcionaba cuando la colgué ahí. ¿Se habrá cambiado algún formato al convertir a archivo a excel desde un odt?

¿No tenemos ningún infomático por aquí?:eek:

[Defcon2]

Me váis a odiar, lo sé.

A ver si mejoramos esas distancias...;)


Western_Iberia,0.102441,0.145729,0.036392,-0.000002,0.037699,-0.000976,-0.004818,-0.004385,0.025770,0.032529,-0.001624,0.011090,-0.012562,-0.014726,0.011469,0.000862,0.000065,-0.000765,-0.007919,-0.002001,0.001622,-0.003524,-0.001910,-0.001325,0.001797


Distance to: Juan_scaled
0.03259993 Western_Iberia

[mitalit]

Teneis vicios raros

[Defcon2]

No entiendo...en la línea de abajo deberían salir números que son el resultado de la fórmula, copias todos y pegas en un nuevo post, y luego les añades aquí el nombre, y tieens que quitar un espacio entre cada coordenada y poner una coma.

Es un auténtico coñazo, para hacer una simple media, con o sin la tabla mierdosa esa se tarda un huevo.

El office te pone los decimales con punto, luego no funciona la fórmula, cambias el formato, da error... es una pesadilla. Luego cambio a decimales con coma y no me funciona la fórmula porque me sale una comilla simple delante da cada cifra y tengo que borrarlas una a una...:picard1:

Para hacer una mísera media la de vueltas que hay que dar. No sé porqué, ni que hice o dejé de hacer, pero se supone que funcionaba cuando la colgué ahí. ¿Se habrá cambiado algún formato al convertir a archivo a excel desde un odt?

¿No tenemos ningún infomático por aquí?:eek:

Sale el número pero no es posible copiarlo pero sí la fórmula, al tocar con el puntero sale algo así: =SUMA(B4:B6)/3.

[gixajo]

Tened paciencia, esto es ir estrechando el cerco poco a poco hasta atinar, tengo dos samples muy buenos para hacer una media que tendría (creo) mejor distancia pero quería probar añadiéndole un poquito de gracia con algo de SSA.

https://i.imgur.com/a1nNPJH.png

[gixajo]

Sale el número pero no es posible copiarlo pero sí la fórmula, al tocar con el puntero sale algo así: =SUMA(B4:B6)/3.

Pero esa fórmula te sale en la ventana de fórmula de arriba? No debería verse la fórmula, no entiendo porque pasa eso...

Yo estoy usando la tabla original que hice en el open office,no la de excel importada de la original, a mí no me pasa eso.:confused:

me pasan otras cosas diferentes, pero no esa.:picard1:

Es un asco, pero la verdad es que estoy disfrutando, es un asco muy rico.;)

Edit:todo esto nos lo ahorraríamos si alguno nos dijera a qué componente hace referencia cada coordenada, los cambiaríamos a mano hasta dar con samples güenos güenos.

[gixajo]

Distance to: Juan_scaled
0.03259993 Western_Iberia

:rolleyes:

[gixajo]

Distance to: Juan_scaled
0.03259993 Western_Iberia

Mi primer Iberian_Average mezclado con el Basque_Spanish en el modelo que hice de Africa vs Asia vs Europa ,como únicos samples de la península, borrando los 3 que puse, me un daba resultado con una distancia de 1.3 en vez de la distancia de 1.5 del modelo con tres samples Ibéricos previos.

Es más, me hizo desaparecer el porcentaje asiático y africano que me salía en el primer resultado, me daba 100% Europeo .;)

Yo creo que ese mismo modelo con tu Sample y alguno de los míos puede ser gracioso probarlo.:D

[Defcon2]

Pero esa fórmula te sale en la ventana de fórmula de arriba? No debería verse la fórmula, no entiendo porque pasa eso...

Yo estoy usando la tabla original que hice en el open office,no la de excel importada de la original, a mí no me pasa eso.:confused:

me pasan otras cosas diferentes, pero no esa.:picard1:

Es un asco, pero la verdad es que estoy disfrutando, es un asco muy rico.;)

Edit:todo esto nos lo ahorraríamos si alguno nos dijera a qué componente hace referencia cada coordenada, los cambiaríamos a mano hasta dar con samples güenos güenos.

Lo gracioso es que ahora con la otra tabla tampoco puedo copiar, joder que cosa.

[gixajo]

Probando como se comportan nuestros samples en el modelo de African vs Asian vs Europa.

Si dejo Basque, me acorta la distancia pero me hace aflorar lo no europeo, si lo quito, me hace 100% europeo. :rotfl:

Añadiendo los 4 nuevos samples y quitando todos los anteriores Ibéricos estos son mis resultados:

Target: gixajo_scaled
Distance: 1.6646% / 0.01664574
92.4 European:Iberian_Peninsula
4.2 European:SlavicA
3.4 European:English

Target: gixajo_scaled
Distance: 1.6646% / 0.01664574
100.0 European

Añadiendo los 4 nuevos samples y dejando el Basque_Spanish:

Target: gixajo_scaled
Distance: 1.4209% / 0.01420880
40.8 European:Basque
30.8 European:Iberian_Peninsula
10.8 European:Iberian_Average2
5.8 European:SlavicA
4.8 European:Italian
2.8 European:Croatian
2.0 Asian:Yemenite
1.2 European:Georgian
0.6 Asian:Levantine
0.4 African:Berber

Target: gixajo_scaled
Distance: 1.4209% / 0.01420910
97.0 European
2.6 Asian
0.4 African


Distance to: gixajo_scaled
0.01793911 European:Iberian_Peninsula
0.02416049 European:Iberian_Average2
0.02594884 European:Popurri_Ibérico
0.02916098 European:Western_Iberia
0.03475637 European:Basque
0.04156026 European:French
0.04716326 European:Italian
0.06458197 European:German
0.06793278 European:English
0.07323389 European:Croatian
0.07427512 European:Hungarian
0.07433635 European:Irish
0.08279618 European:Greek
0.10386202 European:SlavicA
0.10929737 European:SlavicC
0.11597926 European:SlavicB
0.14702167 Asian:Turkish
0.16603887 Asian:Azeri
0.16945488 Asian:Levantine
0.17255404 Asian:Iranian
0.18385545 European:Georgian
0.21727948 Asian:Arab
0.21862150 Asian:Yemenite
0.23976090 Asian:Balochi
0.33806014 Asian:Hazara



Dejo el modelo con los nuevos samples ibéricos con el Basque_Spanish , si queréis quitarlo lo quitáis, si queréis dejarlo lo dejáis.:)


European:Western_Iberia,0.102441,0.145729,0.036392 ,-0.000002,0.037699,-0.000976,-0.004818,-0.004385,0.025770,0.032529,-0.001624,0.011090,-0.012562,-0.014726,0.011469,0.000862,0.000065,-0.000765,-0.007919,-0.002001,0.001622,-0.003524,-0.001910,-0.001325,0.001797
European:Iberian_Average2,0.108511,0.145898,0.0354 49,-0.002261,0.043598,-0.002138,-0.003368,-0.000385,0.021816,0.036083,-0.000487,0.010541,-0.012934,-0.015184,0.012577,0.000663,0.004477,-0.004814,-0.002514,-0.000917,-0.001040,-0.003709,-0.004149,-0.001124,-0.002754
European:Popurri_Ibérico,0.104646,0.1449668125,0.0 369343125,-0.00218025,0.0422385,-0.0020219375,-0.0034663125,0.004225875,0.0239805,0.030103125,-0.0028215625,0.006154,-0.0118743125,-0.0129968125,0.0093731875,-0.0017236875,-0.0036915625,-0.0015203125,-0.003008875,-0.002211875,-0.0001403125,-0.0019243125,0.0003313125,-0.0025830625,-0.0009205
European:Iberian_Peninsula,0.114392,0.146490,0.040 823,-0.000162,0.045311,-0.000697,-0.001765,0.000693,0.023623,0.0365338,-0.001908,0.010303,-0.013639,-0.014691,0.013809,0.001226,0.002282,-0.002534,0.000314,-0.000969,0.00121675,-0.003091,-0.005577,-0.002952,-0.003742
African:Yoruba,-0.6300625,0.0625011,0.022113,0.0167079,0.0005035,0 .0124741,-0.044417,0.0477673,-0.0488813,0.0327694,0.0046205,0.0007904,0.0230561, 0.0009509,0.0125232,-0.0096067,0.0070763,0.0004491,0.006022,-0.00299,0.0015542,0.0023156,-0.0017592,-0.0004711,-0.0004246
European:Italian,0.1213354,0.1473534,0.0208925,-0.0145996,0.0292668,-0.0058844,0.0028435,0.0001615,0.0074653,0.0241279,-0.0002273,0.0063544,-0.0098859,-0.0045141,-0.0015744,-0.0027048,0.0011213,0.0008997,0.0021747,-0.0038269,-0.0025705,0.0018548,-0.0024033,0.0038316,-0.0014967
African:Berber,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
European:German,0.1302626,0.1373792,0.0579811,0.03 87068,0.0400035,0.0156461,0.0040665,0.0057865,0.00 3526,0.00188,-0.0044133,0.0023732,-0.0053706,-0.0025417,0.0085125,0.0032913,-0.0032728,0.0016631,0.0033669,0.0017191,0.00314,0. 002005,7.18e-05,0.0083052,0.0002774
European:Irish,0.1334042,0.134875,0.0610876,0.0482 532,0.0383388,0.0188992,0.003,0.0047738,0.0031318, 0.002725,-0.00714,0.005606,-0.0143759,-0.0139278,0.0253478,0.0048208,-0.0110725,0.0022052,0.0007502,0.0013385,0.0051745, 0.0012249,-0.0003563,0.0147667,0.0010665
Asian:Levantine,0.0853674,0.1486734,-0.0573978,-0.0925072,-0.0096018,-0.0350286,-0.002209,-0.0081688,0.016321,0.008237,0.0091586,-0.0099212,0.0204854,0.0118632,-0.0055372,0.0021214,-0.011239,0.0010134,0.0021116,-0.003652,-0.0005242,0.003116,0.000567,-0.0029402,0.0046462
Asian:Arab,0.0448462,0.143799,-0.0612444,-0.1170562,-0.0092324,-0.0479134,-0.0110452,-0.0045692,0.053626,-0.007581,0.0147122,-0.0271256,0.0514366,0.0055874,0.0004886,0.0201534,-0.021383,0.00451,0.0025894,0.0183086,0.0114298,0.0 13132,-0.0067292,0.004651,-0.0054844
Asian:Amerindian,0.0529278,-0.328016,0.1120048,0.0774392,-0.1061738,-0.0184068,-0.1983488,-0.2347978,-0.0037325,-0.020137,0.0082817,-0.0034098,0.0063925,6.87e-05,-0.0151328,-0.004508,-0.0005215,0.0032622,0.0115015,0.0073472,0.0038682,-0.0107578,0.0027115,0.0062055,0.0092805
European:Greek,0.118376,0.1438667,0.0037713,-0.0325153,0.0159003,-0.010412,0.001645,-0.000923,-0.000409,0.018102,0.000108,0.0039467,-0.0058967,0.0037157,-0.016377,0.0023863,0.0134297,0.0003377,0.009176,-0.0007083,-0.0092753,0.003998,0.0013967,-0.0001203,-0.0033927
Asian:Chinese,0.0220816,-0.454551,-0.0059588,-0.067184,0.0749678,0.03224,0.000235,-0.0044306,-0.0137848,0.0022232,-0.0520616,-0.0056348,0.0087414,-0.0073766,-0.005293,0.000106,0.0019038,0.0009374,-0.004148,-0.0133564,0.0203392,0.0022008,0.0134092,-0.0006268,-0.005173
Asian:Iranian,0.0916275,0.1077846,-0.0632191,-0.0225219,-0.045365,0.0040439,0.0018586,-0.005318,-0.028373,-0.0168403,-0.0002509,0.000361,0.0043652,-0.0049418,0.0071253,0.0135542,-0.0035262,0.002885,0.0017313,-0.0087712,-0.0032216,-0.0037657,0.0006777,-0.003489,0.0053669
European:SlavicA,0.1318405,0.1292694,0.0698685,0.0 577382,0.0406754,0.0217127,0.0086781,0.0108626,-0.0009329,-0.0185524,-0.0043488,-0.0064187,0.013093,0.0186295,-0.0070244,-0.0005595,0.0015455,-7.41e-05,0.0026948,0.0012872,-0.0031286,-0.0031185,0.0056063,-0.0033328,-8.76e-05
European:SlavicB,0.1308965,0.1216098,0.0735385,0.0 608855,0.0360838,0.0225205,0.009694,0.011711,-0.0024542,-0.0240098,0.0008118,-0.0079052,0.017282,0.024359,-0.0136402,-0.0037125,0.0012385,0.0011085,0.0028285,0.0034392,-0.0023708,-0.0032148,0.0023725,-0.0050305,-0.0019758
European:SlavicC,0.1309273,0.1240867,0.0683506,0.0 575551,0.0376867,0.0212936,0.0087651,0.0113072,-0.002891,-0.0210999,-0.0016327,-0.0076594,0.0153563,0.0216328,-0.0112354,-0.0010965,0.0046903,-0.0006985,0.0025989,0.0017002,-0.0044989,-0.003479,0.0067387,-0.0040578,0.0007217
Asian:Turkish,0.097275,0.0841327,-0.0305758,-0.0405241,-0.0228443,-0.0133439,0.0035069,-0.0019525,-0.021066,-0.0021728,-0.0002998,0.0027898,-0.0036708,0.0009528,-0.0056584,-0.0015502,0.0006519,0.0011109,0.0010635,-0.0017988,-0.0013438,0.0018834,-0.0018203,-0.0004636,0.0004421
Asian:Azeri,0.0921965,0.0891527,-0.0493829,-0.040613,-0.0361848,-0.0047412,0.0043166,-0.0038378,-0.0282782,-0.0097641,-0.0018205,-0.0002366,0.0007668,-0.0014849,0.0015502,0.0043266,-0.002594,0.0012203,0.0019714,-0.0048904,-0.0002365,-0.0010218,-0.0012131,-0.0022832,0.0008886
African:Bantu,-0.600986,0.062455,0.014708,0.0117895,0.002,0.00753 ,-0.012338,0.0265375,0.0029655,-0.0244195,-0.0023545,0.013338,-0.0320365,0.003303,-0.0352875,0.025921,-0.015255,-0.0043705,-0.0152725,0.006003,0.00287,-0.0051315,-0.0030195,0.0003615,0.0022155
Asian:Balochi,0.068863,0.0518768,-0.1006282,0.0307388,-0.0726032,0.0314913,0.0055812,0.0015768,-0.0227362,-0.0208053,-0.0038838,-0.002148,0.0039271,-0.0080164,0.0159583,0.0300978,-0.0101374,0.0029245,0.0072694,-0.0265127,-0.0010711,-0.0152092,0.0003698,-0.0160965,0.0137612
Asian:Dong,0.0161882,-0.4507823,-0.0269014,-0.0680812,0.1080886,0.0530821,-0.0002872,-0.0074869,-0.0150439,-0.0095774,-0.021363,-0.0045626,0.0053021,-0.0076609,-0.0034532,0.0017237,0.0043606,-0.0002814,-0.0030168,-0.0116584,0.0161243,0.0068557,0.0160086,-0.0019014,0.0010113
European:English,0.1318551,0.137043,0.0617883,0.04 4013,0.0392299,0.0167481,0.0049845,0.0057448,0.005 2637,0.0056781,-0.0047691,0.0056161,-0.0125892,-0.0103507,0.0206153,0.0035521,-0.0103689,0.004094,0.003685,0.0029619,0.0059369,0. 0034036,-0.0032693,0.0137938,3.16e-05
European:French,0.1271714,0.1414355,0.0504313,0.02 39901,0.0409027,0.0093048,0.0027985,0.0054544,0.01 16022,0.0181739,-0.0077061,0.0068121,-0.0129065,-0.0103844,0.0137695,0.0060631,-0.0018255,0.0046644,0.0027082,-0.0009778,0.0022007,0.0035747,-0.0012325,0.0111405,-0.0019051
European:Georgian,0.108132,0.1332374,-0.0619988,-0.0459952,-0.0383456,-0.0089246,0.0113746,-0.0056768,-0.0639748,-0.0175312,-0.0004546,0.0130384,-0.0251532,0.0072388,0.001873,-0.0238662,0.0070668,-0.0044088,-0.0095026,0.0153074,0.0115046,0.0013602,2.46e-05,-0.0070852,-0.0017964
Asian:Gujarati,0.0513912,-0.0577328,-0.1560525,0.1108222,-0.0805842,0.0621926,-0.0002232,0.0116072,0.033,0.0188524,-0.0064955,8.24e-05,-0.0021779,0.0017408,-0.0006786,0.0003778,0.0008801,-0.0001711,-0.0014267,-0.0039332,0.0014288,-0.0033139,0.0011093,0.0011266,-0.0029757
Asian:Han1,0.0254964,-0.4441926,0.0088248,-0.0643416,0.0505322,0.020415,0.0067212,0.0033692,-0.0136212,0.0037906,-0.076355,-0.01142,0.0121306,-0.0083674,-0.0050218,0,0.0025556,-0.0011656,-0.0014832,-0.004377,0.0109056,0.0073698,0.0085288,-0.001687,-0.001868
Asian:Han2,0.0220816,-0.454551,-0.0059588,-0.067184,0.0749678,0.03224,0.000235,-0.0044306,-0.0137848,0.0022232,-0.0520616,-0.0056348,0.0087414,-0.0073766,-0.005293,0.000106,0.0019038,0.0009374,-0.004148,-0.0133564,0.0203392,0.0022008,0.0134092,-0.0006268,-0.005173
Asian:Hazara,0.0660172,-0.1622816,-0.0037712,0.0005168,-0.0405612,0.0043506,0.007755,0.0059536,-0.0124348,-0.0049568,-0.022637,-0.0029374,0.0022002,-0.0036884,0.0035286,0.0036064,-0.005737,0.0021032,0.0043996,0.0007004,-0.007936,-0.0018052,-0.0059652,-0.0006268,0.0021794
European:Hungarian,0.1270753,0.1296252,0.0553559,0 .0364298,0.0363804,0.0119326,0.0066138,0.0075326,0 .0020597,-0.0046731,-0.0014731,-0.0027191,0.0038544,0.0087488,-0.0043722,0.0001231,-8.4e-05,-0.0003891,0.0026486,-0.0013221,-0.003378,0.0013865,0.0055286,0.0026939,0.0004789
Asian:Kazakh,0.0676109,-0.2193543,0.0449527,-0.0068153,-0.0360989,-0.0139445,0.0105284,0.0112148,-0.0065242,-0.0015306,-0.0223771,-0.0026377,0.0011002,-0.0012386,0.001425,0.0014985,0.000339,0.000418,0.0 016591,0.0059152,-0.0139006,-0.0059476,-0.0084054,0.0005302,0.0011376
African:Kongo,-0.628304,0.064994,0.020365,0.017442,-0.000615,0.016176,-0.016451,0.020076,-0.033746,0.020228,0.008607,-0.003147,-0.001933,0.001514,-0.006786,0.00769,-0.009648,0.00114,0.001257,0.003502,-0.002496,-0.000989,0.001109,-0.001084,-0.006826
Asian:Korean,0.0227267,-0.4546526,0.0184538,-0.0641155,0.0393303,0.0116484,0.0054755,0.0033615,-0.0087399,0.0063599,-0.0745742,-0.008947,0.0103418,-0.0051105,-0.0085052,-0.002559,0.0012865,0.0022087,-0.0005237,-0.0077496,0.0169077,-0.0043938,0.0076947,0.0005381,-0.0173996
Asian:Yemenite,0.0492282,0.1414123,-0.0630735,-0.1155542,-0.0106942,-0.0473418,-0.0094002,-0.0071535,0.0581358,-0.0025965,0.0128692,-0.0314348,0.0573088,0.003888,0.0038,0.0195902,-0.0204703,0.0039908,0.0031738,0.0221358,0.0107002, 0.0147148,-0.0130642,0.0085552,-0.008562
Asian:Gujarati,0.0513912,-0.0577328,-0.1560525,0.1108222,-0.0805842,0.0621926,-0.0002232,0.0116072,0.033,0.0188524,-0.0064955,8.24e-05,-0.0021779,0.0017408,-0.0006786,0.0003778,0.0008801,-0.0001711,-0.0014267,-0.0039332,0.0014288,-0.0033139,0.0011093,0.0011266,-0.0029757
African:Ethiopian,-0.4108256,0.0677019,-0.018479,-0.0372957,0.0001025,-0.0225345,0.024864,-0.0243837,0.1059571,-0.0875462,-0.0119303,-0.003367,-0.0153219,-0.0002385,0.0253525,-0.0231944,0.0240254,0.0186992,0.0048015,-0.0091294,-0.0014974,0.004501,-0.0029989,-0.0015904,0.0007504
European:Croatian,0.128051,0.1338467,0.0518917,0.0 314925,0.035822,0.0125223,0.0060161,0.0067381,0.00 18408,-0.0058862,-0.001153,-0.0023827,0.0047275,0.0127851,-0.0066365,-0.0022011,0.0027512,-0.0007223,0.0018101,-0.0007503,-0.005166,-0.0024236,0.0044246,-0.0010966,0.0001796
European:Basque,0.1319083,0.1504111,0.0582862,0.00 90081,0.0575834,0.0001239,-0.0033162,0.0004102,0.0313603,0.0455997,-0.0045288,0.0116063,-0.0227781,-0.0187627,0.0179452,0.0037271,-0.0058094,0.0027731,-0.0018156,-6.96e-05,0.0087901,0.0024868,-0.0068883,-0.0090371,0.0022619

[Brás Garcia de Mascarenhas]

O que é um "popurri ibérico"?

[gixajo]

Por cierto, lo que pasa con el Basque en este caso concreto es una de las formas que conocemos todos de cómo dirigir el resultado de un modelo, el efecto que hace en una source meter un sample muy puro o más mezclado en los resultados, hace que a cada "etnia" le salga más o menos "caquita" en sus resultados del "single".

Tenemos que hacer un decálogo de como "manipular" los resultados de un modelo para "dirigirlo" a lo que nos interese en cada momento.;)

Odio a la gente que usa comillas.

[gixajo]

O que é um "popurri ibérico"?

Popurri= mezcla.

Se suele usar por ejemplo en un disco de música con canciones de estilos diferentes.

[Brás Garcia de Mascarenhas]

Popurri= mezcla.

Se suele usar por ejemplo en un disco de música con canciones de estilos diferentes.

Que palavra mais estranha, não temos nada idêntico em Português. Aqui diríamos "mistura" ou "miscelânea".



Target: Viriato_scaled
Distance: 1.9630% / 0.01963017
95.8 European
3.2 Asian
1.0 African


Target: Viriato_scaled
Distance: 1.9630% / 0.01963017
84.8 European:Popurri_Ibérico
6.2 European:Basque
3.6 European:SlavicA
3.2 Asian:Levantine
1.2 European:Georgian
1.0 African:Berber

[gixajo]

Que palavra mais estranha, não temos nada idêntico em Português. Aqui diríamos "mistura" ou "miscelânea".



Target: Viriato_scaled
Distance: 1.9630% / 0.01963017
95.8 European
3.2 Asian
1.0 African


Target: Viriato_scaled
Distance: 1.9630% / 0.01963017
84.8 European:Popurri_Ibérico
6.2 European:Basque
3.6 European:SlavicA
3.2 Asian:Levantine
1.2 European:Georgian
1.0 African:Berber


Si le quitas el Basque te sube el % Europeo total y te baja la distancia o contigo se comporta diferente?

Popurri viene del francés, "pot pourri", es un plato de cocina típico de nombre similar al español "olla podrida", no sé que ingredientes tiene, pero supongo que tendrá una mezcla de muchos ingredientes diferentes, y de ahí que se use la palabra con un significado parecido a mezcla.

[Brás Garcia de Mascarenhas]

Si le quitas el Basque te sube el % Europeo total y te baja la distancia o contigo se comporta diferente?

Popurri viene del francés, "pot pourri", es un plato de cocina típico de nombre similar al español "olla podrida", no sé que ingredientes tiene, pero supongo que tendrá una mezcla de muchos ingredientes diferentes, y de ahí que se use la palabra con un significado parecido a mezcla.

Sem a referência Basca:


Target: Viriato_scaled
Distance: 1.9658% / 0.01965833
96.6 European
3.0 Asian
0.4 African



Target: Viriato_scaled
Distance: 1.9658% / 0.01965833
94.0 European:Popurri_Ibérico
3.0 Asian:Levantine
2.6 European:SlavicA
0.4 African:Berber

[Damião de Góis]

Quais são os vossos resultados para a datasheet "Global25 datasheet modern scaled" (4º link a contar do fim)?

http://eurogenes.blogspot.com/2019/07/getting-most-out-of-global25_12.html

Depois tentem Aggregate Yes ou No, a diferênça não é muita mas com Yes fica mais legível.

Têm algo sem sentido como eu? :confused:

Target: Gil_Vicente
Distance: 0.4299% / 0.00429911
17.6 Irish
12.2 Spanish_Andalucia
12.0 Basque_French
10.8 Sardinian
9.0 Swiss_French
7.8 French_Corsica
4.6 Spanish_Galicia
4.0 Italian_Aosta_Valley
3.8 Belgian
3.6 Italian_Campania
2.2 Moroccan_South
2.0 Mandenka
1.8 Moroccan_North
1.8 Dutch
1.6 Iraqi_Jew
1.2 Spanish_Penedes
1.0 Spanish_Girona
0.8 Spanish_Canarias
0.6 Iranian_Lor
0.6 Iranian_Mazandarani
0.6 Papuan
0.4 Iranian_Jew

[Pedro Ruben]

Target: Pedro_scaled
Distance: 1.8115% / 0.01811478
79.4 European: Popurri_Ibérico
11.8 European:English
3.4 Asian:Arab
1.4 African:Yoruba
1.2 African:Berber
1.2 European:SlavicB
1.0 African:Ethiopian
0.6 Asian:Amerindian

Distance to: Pedro_scaled
0.02810010 European: Popurri_Ibérico
0.03226640 European:Western_Iberia
0.03970819 European:Iberian_Average2
0.04318802 European:Iberian_Peninsula
0.05393110 European:Italian
0.06081389 European:French
0.06864857 European:Basque
0.07645635 European:German
0.07939769 European:Croatian
0.07980513 European:Hungarian
0.08156023 European:English
0.08158773 European:Greek
0.08680372 European:Irish
0.11002013 European:SlavicA
0.11381339 European:SlavicC
0.11980625 European:SlavicB
0.13105188 Asian:Turkish
0.14920158 Asian:Azeri
0.15360365 Asian:Levantine
0.15690623 Asian:Iranian
0.17410277 European:Georgian
0.19575869 Asian:Arab
0.19845876 Asian:Yemenite
0.22390161 Asian:Balochi
0.32314530 Asian:Hazara

[gixajo]

Te sube el Europeo, similar distancia un pelín peor, y el Basque actúa sobre todo sobre componentes Africanos.

Por cierto, al final a Georgia la tuve que poner en Asia, se quejaron tres personas.:picard1:

[gixajo]

El popurri Ibérico de defcon es maravilloso...

Igual solo con el popurri como sample Ibérico sobra.

[Brás Garcia de Mascarenhas]

Quais são os vossos resultados para a datasheet "Global25 datasheet modern scaled" (4º link a contar do fim)?

http://eurogenes.blogspot.com/2019/07/getting-most-out-of-global25_12.html

Depois tentem Aggregate Yes ou No, a diferênça não é muita mas com Yes fica mais legível.

Têm algo sem sentido como eu? :confused:

Target: Gil_Vicente
Distance: 0.4299% / 0.00429911
17.6 Irish
12.2 Spanish_Andalucia
12.0 Basque_French
10.8 Sardinian
9.0 Swiss_French
7.8 French_Corsica
4.6 Spanish_Galicia
4.0 Italian_Aosta_Valley
3.8 Belgian
3.6 Italian_Campania
2.2 Moroccan_South
2.0 Mandenka
1.8 Moroccan_North
1.8 Dutch
1.6 Iraqi_Jew
1.2 Spanish_Penedes
1.0 Spanish_Girona
0.8 Spanish_Canarias
0.6 Iranian_Lor
0.6 Iranian_Mazandarani
0.6 Papuan
0.4 Iranian_Jew

É um trilião de amostras por isso é normal. Nestes casos faz sentido adicionar no mínimo uma penalidade de 0.25x. Certamente a distância continuará a ser bastante aceitável e os resultados farão mais sentido.

[Damião de Góis]

É um trilião de amostras por isso é normal. Nestes casos faz sentido adicionar pelo menos no mínimo uma penalidade de 0.25x. Certamente a distância continuará a ser bastante aceitável e os resultados farão mais sentido.

Ok, 0.25X sempre fez diferença:

Target: Gil_Vicente
Distance: 0.8114% / 0.00811402 | ADC: 0.25x
43.0 Spanish_Andalucia
16.8 Italian_Aosta_Valley
8.8 Spanish_Alacant
8.4 Spanish_Canarias
6.8 Spanish_Barcelones
6.0 Spanish_Mallorca
3.6 Spanish_Galicia
2.8 Portuguese
2.4 Belgian
0.8 Esan_Nigeria
0.4 Italian_Campania
0.2 Papuan

[PT Tagus]

Quais são os vossos resultados para a datasheet "Global25 datasheet modern scaled" (4º link a contar do fim)?

http://eurogenes.blogspot.com/2019/07/getting-most-out-of-global25_12.html

Depois tentem Aggregate Yes ou No, a diferênça não é muita mas com Yes fica mais legível.

Têm algo sem sentido como eu? :confused:

Target: Gil_Vicente
Distance: 0.4299% / 0.00429911
17.6 Irish
12.2 Spanish_Andalucia
12.0 Basque_French
10.8 Sardinian
9.0 Swiss_French
7.8 French_Corsica
4.6 Spanish_Galicia
4.0 Italian_Aosta_Valley
3.8 Belgian
3.6 Italian_Campania
2.2 Moroccan_South
2.0 Mandenka
1.8 Moroccan_North
1.8 Dutch
1.6 Iraqi_Jew
1.2 Spanish_Penedes
1.0 Spanish_Girona
0.8 Spanish_Canarias
0.6 Iranian_Lor
0.6 Iranian_Mazandarani
0.6 Papuan
0.4 Iranian_Jew


Target: Endovelicus_scaled
Distance: 0.3599% / 0.00359924
17.6 Portuguese
13.0 Spanish_Eivissa
7.0 Spanish_Galicia
6.4 BedouinB
6.2 Basque_Spanish
6.0 Spanish_Navarra
5.6 Spanish_Mallorca
5.6 Spanish_Penedes
5.2 French_Auvergne
4.8 German
4.6 Basque_French
3.8 Sardinian
2.8 Spanish_Barcelones
2.2 Esan_Nigeria
2.0 Irish
1.8 Dutch
1.6 Berber_MAR_ERR
1.4 Spanish_Menorca
1.0 Egyptian
0.8 Moroccan_South
0.4 Mbuti
0.2 Spanish_Peri-Barcelona


Target: Endovelicus_scaled
Distance: 0.9402% / 0.00940158 | ADC: 0.25x
39.2 Spanish_Canarias
18.8 Spanish_Menorca
15.8 Portuguese
12.4 Spanish_Eivissa
6.6 Spanish_Barcelones
1.6 French_Provence
1.2 Esan_Nigeria
1.0 Belgian
1.0 Egyptian
1.0 Spanish_Navarra
0.8 French_Auvergne
0.6 Libyan



Distance to: Endovelicus_scaled
0.02452146 Spanish_Canarias:CAN956
0.02675684 Portuguese:EBC_Portugal12
0.02698153 Spanish_Canarias:HG01694
0.02786214 Spanish_Extremadura:HG01527
0.02859786 Spanish_Extremadura:HG01509
0.02930387 Spanish_Galicia:HG01704
0.02958276 Spanish_Canarias:CAN11
0.03023284 Spanish_Canarias:CAN12
0.03101439 Spanish_Andalucia:AND86
0.03116706 Spanish_Castilla_Y_Leon:HG01501
0.03139380 Portuguese:EBC_Portugal7
0.03160617 Portuguese:EBC_Portugal10
0.03183564 Spanish_Canarias:CAN1220
0.03184663 Spanish_Canarias:CAN884
0.03187895 Spanish_Andalucia:HG01623
0.03204694 Spanish_Andalucia:AND77
0.03227587 Spanish_Galicia:GAL8
0.03237256 Portuguese:EBC_Portugal9
0.03253587 Spanish_Menorca:FER054
0.03254983 Portuguese:Portugal6
0.03299299 Spanish_Andalucia:HG01620
0.03338011 Spanish_Andalucia:AND2
0.03347340 Spanish_Canarias:CAN9
0.03352572 Portuguese:Portugal9
0.03360065 Portuguese:Portugal8

[Brás Garcia de Mascarenhas]

Target: Viriato_scaled
Distance: 1.4861% / 0.01486100 | ADC: 0.25x
29.2 Spanish_Asturias
29.0 Spanish_Castilla_Y_Leon
20.0 Italian_Liguria
17.8 Spanish_Andalucia
2.4 Berber_Tunisia_Chen
1.6 Balochi


Distance to: Viriato_scaled
0.02025617 Spanish_Andalucia
0.02098579 Spanish_Castilla_Y_Leon
0.02304137 Spanish_Galicia
0.02367662 Portuguese
0.02576491 Spanish_Extremadura
0.02644135 Spanish_Castilla_La_Mancha
0.02671431 Spanish_Eivissa
0.02685793 Spanish_Valencia
0.02733046 Spanish_Menorca
0.02743867 Spanish_Alacant
0.02750163 Spanish_Murcia
0.02759535 Spanish_Asturias
0.02907036 Spanish_Terres_de_l'Ebre
0.03063586 Spanish_Cataluna
0.03071827 Spanish_Baleares
0.03077932 Spanish_Aragon
0.03141076 Spanish_Barcelones
0.03169606 Spanish_Mallorca
0.03191545 Spanish_Pirineu
0.03237235 Spanish_Camp_de_Tarragona
0.03299895 Spanish_Peri-Barcelona
0.03384753 Spanish_Lleida
0.03402434 Spanish_Girona
0.03419969 Italian_Liguria
0.03478890 Spanish_Penedes

[gixajo]

Quais são os vossos resultados para a datasheet "Global25 datasheet modern scaled" (4º link a contar do fim)?

http://eurogenes.blogspot.com/2019/07/getting-most-out-of-global25_12.html

Depois tentem Aggregate Yes ou No, a diferênça não é muita mas com Yes fica mais legível.

Têm algo sem sentido como eu? :confused:

Target: Gil_Vicente
Distance: 0.4299% / 0.00429911


Target: gixajo_scaled
Distance: 0.5609% / 0.00560858
25.8 Basque_Spanish
10.4 Spanish_Galicia
9.4 Dutch
9.2 Spanish_Peri-Barcelona
8.8 French_South
7.8 Basque_French
7.4 Sardinian
5.0 Portuguese
4.2 Spanish_Andalucia
4.0 Berber_Tunisia_Sen
3.6 Polish
3.0 French_Occitanie
0.8 German
0.2 Ju_hoan_North
0.2 Koinanbe
0.2 Yemenite_Mahra


Não sei se a folha de dados é para calcular resultados ou para ter todas as amostras agrupadas num único ficheiro.

Os resultados são estranhos, sim.

Edit: AGGREGATE : NO

Target: gixajo_scaled
Distance: 0.5615% / 0.00561514
21.8 Basque_Spanish:BAS32
10.2 Spanish_Galicia:GAL20
9.6 Spanish_Peri-Barcelona:ROS008
9.0 Dutch:Netherlands22
9.0 French_South:SouthFrench1323
8.2 Basque_French:HGDP01359
5.8 Sardinian:HGDP01078
5.4 Portuguese:Portugal1
4.0 Spanish_Andalucia:AND46
3.8 Berber_Tunisia_Sen:BerSF7
3.6 Polish:Polish7
3.4 Basque_Spanish:BAS28
3.4 French_Occitanie:T_57
1.2 Sardinian:HGDP01066
0.8 German:German38
0.4 Yemenite_Mahra:Y312
0.2 Ju_hoan_North:A_Ju_hoan_North-5
0.2 Koinanbe:GS000035255

[Brás Garcia de Mascarenhas]

Os resultados são estranhos porque o G25 são coordenadas de PCA, se adicionarmos centenas de samples sem qualquer penalidade ele por default irá tentar encontrar aproximações a todo o tipo de amostras, independentemente de termos herança genética dessas regiões.

[PT Tagus]

Ok, 0.25X sempre fez diferença:

Target: Gil_Vicente
Distance: 0.8114% / 0.00811402 | ADC: 0.25x
43.0 Spanish_Andalucia
16.8 Italian_Aosta_Valley
8.8 Spanish_Alacant
8.4 Spanish_Canarias
6.8 Spanish_Barcelones
6.0 Spanish_Mallorca
3.6 Spanish_Galicia
2.8 Portuguese
2.4 Belgian
0.8 Esan_Nigeria
0.4 Italian_Campania
0.2 Papuan

Sem penalidade os teus resultados são completamente fora.

[PT Tagus]

Os resultados são estranhos porque o G25 são coordenadas de PCA, se adicionarmos centenas de samples sem qualquer penalidade ele por default irá tentar encontrar aproximações a todo o tipo de amostras, independentemente de termos herança genética dessas regiões.

pese embora que sem penalidade os meus resultados não são assim tão estranhos. Como foram os teus resultados sem penalidade?

[Brás Garcia de Mascarenhas]

pese embora que sem penalidade os meus resultados não são assim tão estranhos. Como foram os teus resultados sem penalidade?


Target: Viriato_scaled
Distance: 1.2258% / 0.01225780
33.2 Spanish_Pais_Vasco
18.6 Spanish_Asturias
17.6 Italian_Liguria
9.6 Berber_Tunisia_Chen
7.0 Italian_Lombardy
4.8 Sardinian
3.6 Balochi
3.2 Lithuanian_VZ
2.2 Lithuanian_PZ
0.2 Koinanbe


Curioso que vocês todos tenham distâncias bem abaixo de 1% e eu não.

[Damião de Góis]

Já agora, diferença não tem acento. Enganei-me naquele post atrás.

[gixajo]

Target: gixajo_scaled
Distance: 0.7636% / 0.00763625 | ADC: 0.25x
17.0 Spanish_Peri-Barcelona
14.0 Portuguese
13.2 French_South
11.4 Spanish_Castello
11.0 Basque_Spanish
10.0 Spanish_Galicia
8.4 French_Occitanie
6.2 Spanish_Barcelones
6.2 Spanish_Valencia
2.6 Spanish_Mallorca

Distance to: gixajo_scaled
0.01950974 Spanish_Castilla_Y_Leon:HG01506
0.02062329 Spanish_Cantabria:HG01513
0.02086292 Spanish_Aragon:HG01673
0.02144147 Spanish_Extremadura:HG01510
0.02219181 Spanish_Navarra:Navarra1
0.02276497 Spanish_Eivissa:EIV014_2
0.02287657 Spanish_Penedes:FER023
0.02309047 Spanish_Cantabria:HG01679
0.02360072 Spanish_Pirineu:GRA029
0.02424015 Spanish_Catalunya_Central:SOL051
0.02438934 Spanish_Castello:SAB019
0.02446617 Spanish_Aragon:HG01675
0.02447669 Spanish_Cantabria:HG01512
0.02513818 French_Auvergne:C_21
0.02542444 Spanish_Pirineu:FER101
0.02572752 Spanish_Eivissa:EIV013_2
0.02576538 Spanish_Castello:PIT001
0.02578495 Spanish_Aragon:HG01676
0.02581134 Spanish_Peri-Barcelona:ROI042
0.02588615 Basque_French:HGDP01364
0.02591149 French_Occitanie:T_90
0.02595363 Spanish_Cataluna:HG01537
0.02602345 Spanish_Castilla_La_Mancha:HG01504
0.02608425 Spanish_Penedes:SAB014

[PT Tagus]

Target: Viriato_scaled
Distance: 1.2258% / 0.01225780
33.2 Spanish_Pais_Vasco
18.6 Spanish_Asturias
17.6 Italian_Liguria
9.6 Berber_Tunisia_Chen
7.0 Italian_Lombardy
4.8 Sardinian
3.6 Balochi
3.2 Lithuanian_VZ
2.2 Lithuanian_PZ
0.2 Koinanbe


Curioso que vocês todos tenham distâncias bem abaixo de 1% e eu não.

melhor com penalidade

sim, as distâncias são consideravelmente baixas.

[Damião de Góis]

Esqueci-me das distâncias. Já reparei também que quando é scaled nunca tenho distâncias mais baixas que 0.02x.

Distance to: Gil_Vicente
0.02206978 Portuguese:EBC_Portugal12
0.02371766 Spanish_Extremadura:HG01527
0.02393501 Spanish_Alacant:MAS064
0.02527792 Spanish_Andalucia:AND80
0.02548797 Portuguese:EBC_Portugal9
0.02572375 Spanish_Andalucia:HG01620
0.02604876 Spanish_Andalucia:AND86
0.02664377 Portuguese:EBC_Portugal6
0.02697381 Portuguese:Portugal8
0.02732160 Spanish_Andalucia:HG01619
0.02776322 Spanish_Girona:ROI027
0.02810191 Spanish_Valencia:HG01607
0.02814398 Spanish_Eivissa:EIV009_2
0.02842793 Portuguese:EBC_Portugal3
0.02868217 Spanish_Galicia:GAL3
0.02877411 Spanish_Alacant:CAR257
0.02917814 Spanish_Extremadura:HG01509
0.02936371 Spanish_Andalucia:AND2
0.02936972 Spanish_Mallorca:ALE339
0.02948394 Spanish_Camp_de_Tarragona:FOR094
0.02970046 Portuguese:EBC_Portugal13
0.02973709 Spanish_Eivissa:SER064
0.02974552 Spanish_Castilla_Y_Leon:HG01500
0.02980911 Spanish_Barcelones:SER015
0.02990793 Spanish_Galicia:GAL21

[PT Tagus]

Já agora, diferença não tem acento. Enganei-me naquele post atrás.

https://cdn-images.rtp.pt/EPG/imagens/34908_55395_18226.jpg?q=100&v=3&w=400&w=150

:D

[Brás Garcia de Mascarenhas]

Esqueci-me das distâncias. Já reparei também que quando é scaled nunca tenho distâncias mais baixas que 0.02x.

Distance to: Gil_Vicente
0.02206978 Portuguese:EBC_Portugal12
0.02371766 Spanish_Extremadura:HG01527
0.02393501 Spanish_Alacant:MAS064
0.02527792 Spanish_Andalucia:AND80
0.02548797 Portuguese:EBC_Portugal9
0.02572375 Spanish_Andalucia:HG01620
0.02604876 Spanish_Andalucia:AND86
0.02664377 Portuguese:EBC_Portugal6
0.02697381 Portuguese:Portugal8
0.02732160 Spanish_Andalucia:HG01619
0.02776322 Spanish_Girona:ROI027
0.02810191 Spanish_Valencia:HG01607
0.02814398 Spanish_Eivissa:EIV009_2
0.02842793 Portuguese:EBC_Portugal3
0.02868217 Spanish_Galicia:GAL3
0.02877411 Spanish_Alacant:CAR257
0.02917814 Spanish_Extremadura:HG01509
0.02936371 Spanish_Andalucia:AND2
0.02936972 Spanish_Mallorca:ALE339
0.02948394 Spanish_Camp_de_Tarragona:FOR094
0.02970046 Portuguese:EBC_Portugal13
0.02973709 Spanish_Eivissa:SER064
0.02974552 Spanish_Castilla_Y_Leon:HG01500
0.02980911 Spanish_Barcelones:SER015
0.02990793 Spanish_Galicia:GAL21

Mas era para usar as modern averages ou as individuais? Essas são as individuais.

[Damião de Góis]

https://cdn-images.rtp.pt/EPG/imagens/34908_55395_18226.jpg?q=100&v=3&w=400&w=150

:D

Sim, eu como não consigo escrever em espanhol e como não quero escrever em inglês aqui, escrevo em português mas sempre a pensar se os membros espanhois vão entender. Se escrever com erros então, não ajuda.


Mas era para usar as modern averages ou as individuais? Essas são as individuais.

Individuais, 4º link a contar do fim:

http://eurogenes.blogspot.com/2019/07/getting-most-out-of-global25_12.html

[PT Tagus]

Mas era para usar as modern averages ou as individuais? Essas são as individuais.

O Damião está a usar as individuais.

[Brás Garcia de Mascarenhas]

Eu usei as coordenadas erradas então.


Target: Viriato_scaled
Distance: 0.4311% / 0.00431127
23.2 Sardinian
12.6 Irish
11.2 Spanish_Galicia
7.0 Spanish_Pais_Vasco
6.2 Kaitag
6.2 Spanish_Castilla_La_Mancha
6.0 Berber_Tunisia_Chen
5.6 Belgian
5.0 Belarusian
4.2 Berber_MAR_TIZ
3.6 Latvian
3.0 German
2.4 Spanish_Terres_de_l'Ebre
1.2 Italian_Apulia
1.0 Czech
0.8 Brahui
0.4 Iranian_Lor
0.2 Papuan
0.2 Polish



Target: Viriato_scaled
Distance: 0.8203% / 0.00820252 | ADC: 0.25x
30.0 Spanish_Castilla_Y_Leon
22.6 Spanish_Castilla_La_Mancha
17.8 Spanish_Andalucia
12.2 Portuguese
5.2 Turkish_Istanbul
5.0 Moldovan
2.4 Berber_Tunisia_Chen
1.2 Ashkenazi_Ukraine
1.2 Italian_Apulia
1.2 Spanish_Barcelones
1.2 Spanish_Canarias



Distance to: Viriato_scaled
0.01793527 Portuguese:EBC_Portugal12
0.01872853 Spanish_Castilla_Y_Leon:HG01500
0.01992021 Portuguese:EBC_Portugal6
0.02013015 Portuguese:EBC_Portugal9
0.02325548 Spanish_Mallorca:ALE339
0.02360027 Spanish_Andalucia:AND86
0.02417806 Spanish_Andalucia:HG01620
0.02446676 Portuguese:EBC_Portugal10
0.02469309 Spanish_Eivissa:SER064
0.02483875 Spanish_Alacant:MAS064
0.02496386 Spanish_Galicia:GAL8
0.02521018 Spanish_Andalucia:AND80
0.02581071 Spanish_Castilla_Y_Leon:HG01501
0.02586225 Portuguese:EBC_Portugal3
0.02601926 Spanish_Extremadura:HG01509
0.02602123 Spanish_Andalucia:AND36
0.02608002 Spanish_Andalucia:AND84
0.02622820 Spanish_Galicia:HG01704
0.02721050 Portuguese:Portugal9
0.02737266 Spanish_Valencia:SOL084
0.02759535 Spanish_Asturias:Asturias1
0.02768784 Spanish_Galicia:GAL35
0.02773421 Spanish_Eivissa:EIV011_2
0.02827035 Spanish_Alacant:CAR257
0.02848735 Spanish_Andalucia:AND4

[gixajo]

Bem, um último cigarro e ir dormir.

Parece que os portugueses são pássaros noturnos.:D

Boa noite a todos.

[PT Tagus]

Eu usei as coordenadas erradas então.


Target: Viriato_scaled
Distance: 0.4311% / 0.00431127
23.2 Sardinian
12.6 Irish
11.2 Spanish_Galicia
7.0 Spanish_Pais_Vasco
6.2 Kaitag
6.2 Spanish_Castilla_La_Mancha
6.0 Berber_Tunisia_Chen
5.6 Belgian
5.0 Belarusian
4.2 Berber_MAR_TIZ
3.6 Latvian
3.0 German
2.4 Spanish_Terres_de_l'Ebre
1.2 Italian_Apulia
1.0 Czech
0.8 Brahui
0.4 Iranian_Lor
0.2 Papuan
0.2 Polish



Target: Viriato_scaled
Distance: 0.8203% / 0.00820252 | ADC: 0.25x
30.0 Spanish_Castilla_Y_Leon
22.6 Spanish_Castilla_La_Mancha
17.8 Spanish_Andalucia
12.2 Portuguese
5.2 Turkish_Istanbul
5.0 Moldovan
2.4 Berber_Tunisia_Chen
1.2 Ashkenazi_Ukraine
1.2 Italian_Apulia
1.2 Spanish_Barcelones
1.2 Spanish_Canarias



Distance to: Viriato_scaled
0.01793527 Portuguese:EBC_Portugal12
0.01872853 Spanish_Castilla_Y_Leon:HG01500
0.01992021 Portuguese:EBC_Portugal6
0.02013015 Portuguese:EBC_Portugal9
0.02325548 Spanish_Mallorca:ALE339
0.02360027 Spanish_Andalucia:AND86
0.02417806 Spanish_Andalucia:HG01620
0.02446676 Portuguese:EBC_Portugal10
0.02469309 Spanish_Eivissa:SER064
0.02483875 Spanish_Alacant:MAS064
0.02496386 Spanish_Galicia:GAL8
0.02521018 Spanish_Andalucia:AND80
0.02581071 Spanish_Castilla_Y_Leon:HG01501
0.02586225 Portuguese:EBC_Portugal3
0.02601926 Spanish_Extremadura:HG01509
0.02602123 Spanish_Andalucia:AND36
0.02608002 Spanish_Andalucia:AND84
0.02622820 Spanish_Galicia:HG01704
0.02721050 Portuguese:Portugal9
0.02737266 Spanish_Valencia:SOL084
0.02759535 Spanish_Asturias:Asturias1
0.02768784 Spanish_Galicia:GAL35
0.02773421 Spanish_Eivissa:EIV011_2
0.02827035 Spanish_Alacant:CAR257
0.02848735 Spanish_Andalucia:AND4


Com penalidade faz mais sentido

se quiseres comparar os teus resultados com os nossos (averages), tens aqui:

https://www.theapricity.com/forum/showthread.php?314746-Gen%E9tica-de-espa%F1oles-e-hispanoamericanos&p=6727526&viewfull=1#post6727526

https://www.theapricity.com/forum/showthread.php?314746-Gen%E9tica-de-espa%F1oles-e-hispanoamericanos&p=6727555&viewfull=1#post6727555

[Damião de Góis]

Bem, um último cigarro e ir dormir.

Parece que os portugueses são pássaros noturnos.:D

Boa noite a todos.

Boas noites, talvez mas aqui também é uma hora a menos.

[Brás Garcia de Mascarenhas]

Bem, um último cigarro e ir dormir.

Parece que os portugueses são pássaros noturnos.:D

Boa noite a todos.

Boa noite, já começas a trabalhar amanhã?

[PT Tagus]

Bem, um último cigarro e ir dormir.

Parece que os portugueses são pássaros noturnos.:D

Boa noite a todos.

Menos 1h de fuso horário.
Sim sou pássaro noturno, mas amanhã vou trabalhar, por isso vou dormir também.

Boa noite a todos.

[gixajo]

Sale el número pero no es posible copiarlo pero sí la fórmula, al tocar con el puntero sale algo así: =SUMA(B4:B6)/3.
Era de esperar que fuera por eso por lo que las coordenadas tienen ese formato.

El caso es que desde el principio me imaginé las herramientas que usan, y que en el fondo no es más que análisis multivariante, y me voy tan lejos que ni le doy importancia a lo básico. cada día soy más bobo.:picard1:

A lo práctico, algo así tenía que ser, luego lo probaré.

Para Microsoft excel:

https://support.office.com/es-es/article/convertir-texto-en-tabla-o-viceversa-b5ce45db-52d5-4fe3-8e9c-e04b62f189e1

Para Open office/Apache:

https://wiki.open-office.es/Convertir_texto_a_tabla,_y_viceversa

[Defcon2]

Era de esperar que fuera por eso por lo que las coordenadas tienen ese formato.

El caso es que desde el principio me imaginé las herramientas que usan, y que en el fondo no es más que análisis multivariante, y me voy tan lejos que ni le doy importancia a lo básico. cada día soy más bobo.:picard1:

A lo práctico, algo así tenía que ser, luego lo probaré.

Para Microsoft excel:

https://support.office.com/es-es/article/convertir-texto-en-tabla-o-viceversa-b5ce45db-52d5-4fe3-8e9c-e04b62f189e1

Para Open office/Apache:

https://wiki.open-office.es/Convertir_texto_a_tabla,_y_viceversa

Encontré una forma y es copiando el average a un bloc de notas y funciona, aparecen los números. Lo haría de manera inconsciente y no lo recordaría la primera vez.

[Defcon2]

Algunas mezclas de mis coordenadas con austriacos, ucranianos y rusos. No pretendo emular una posible descendencia :redface_002:

Target: Austroespañol
Distance: 2.4733% / 0.02473297
46.8 Anatolia_Barcin_N
38.8 Yamnaya_RUS_Samara
11.4 WHG
2.8 MAR_Taforalt
0.2 SSA

Target: Rusoespañol
Distance: 3.5065% / 0.03506511
42.8 Anatolia_Barcin_N
39.4 Yamnaya_RUS_Samara
15.0 WHG
2.8 MAR_Taforalt

Target: Hispanoucraniano
Distance: 3.1023% / 0.03102337
44.6 Anatolia_Barcin_N
39.0 Yamnaya_RUS_Samara
13.4 WHG
2.8 MAR_Taforalt
0.2 SSA

Esto es demasiado divertido, debería ser ilegal o darle un premio nobel al creador de esto. Una dimensión de ocio con esto descubierta.

[Defcon2]

Gixajo estará viciao dándole al Mapache.

He intentado representar la ascendencia del equino Alejandro con Galicia + Castilla y León + Sicilian West, al final no resultó tan mal aunque lo que más difiere es la estepa. :D

Target: Alejandro_scaled
Distance: 1.6882% / 0.01688223
52.6 Anatolia_Barcin_N
33.2 Yamnaya_RUS_Samara
8.4 WHG
5.4 MAR_Taforalt
0.4 IRN_Ganj_Dareh_N

Target: PseudoAlejandro
Distance: 1.5992% / 0.01599244
54.4 Anatolia_Barcin_N
31.6 Yamnaya_RUS_Samara
7.8 WHG
5.0 MAR_Taforalt
1.2 IRN_Shahr_I_Sokhta_BA2


PseudoAlejandro,0.1055603,0.14529597,0.02705473,-0.0131114,0.03479833,-0.00269597,-0.0026024,0.00252547,0.022168,0.02718017,-0.00034893,0.00555893,-0.00897743,-0.00743167,0.00704737,-0.00304457,-0.0042953,-0.00131143,-0.00348227,-0.00314277,0.00066547,-0.0009938,-0.00089917,-0.0032488,-0.00040363

[mitalit]

Algunas mezclas de mis coordenadas con austriacos, ucranianos y rusos. No pretendo emular una posible descendencia :redface_002:

Target: Austroespañol
Distance: 2.4733% / 0.02473297
46.8 Anatolia_Barcin_N
38.8 Yamnaya_RUS_Samara
11.4 WHG
2.8 MAR_Taforalt
0.2 SSA

Target: Rusoespañol
Distance: 3.5065% / 0.03506511
42.8 Anatolia_Barcin_N
39.4 Yamnaya_RUS_Samara
15.0 WHG
2.8 MAR_Taforalt

Target: Hispanoucraniano
Distance: 3.1023% / 0.03102337
44.6 Anatolia_Barcin_N
39.0 Yamnaya_RUS_Samara
13.4 WHG
2.8 MAR_Taforalt
0.2 SSA

Esto es demasiado divertido, debería ser ilegal o darle un premio nobel al creador de esto. Una dimensión de ocio con esto descubierta.

:rolleyes:

[gixajo]

Gixajo estará viciao dándole al Mapache.

He intentado representar la ascendencia del equino Alejandro con Galicia + Castilla y León + Sicilian West, al final no resultó tan mal aunque lo que más difiere es la estepa. :D

Target: Alejandro_scaled
Distance: 1.6882% / 0.01688223
52.6 Anatolia_Barcin_N
33.2 Yamnaya_RUS_Samara
8.4 WHG
5.4 MAR_Taforalt
0.4 IRN_Ganj_Dareh_N

Target: PseudoAlejandro
Distance: 1.5992% / 0.01599244
54.4 Anatolia_Barcin_N
31.6 Yamnaya_RUS_Samara
7.8 WHG
5.0 MAR_Taforalt
1.2 IRN_Shahr_I_Sokhta_BA2


PseudoAlejandro,0.1055603,0.14529597,0.02705473,-0.0131114,0.03479833,-0.00269597,-0.0026024,0.00252547,0.022168,0.02718017,-0.00034893,0.00555893,-0.00897743,-0.00743167,0.00704737,-0.00304457,-0.0042953,-0.00131143,-0.00348227,-0.00314277,0.00066547,-0.0009938,-0.00089917,-0.0032488,-0.00040363

Esta tarde me pondré con ello, tengo unas buenas muestras que mezclar para ir puliendo al menos el West Iberian.

El primer sample que hice podría ser un North_Iberian bastante decente, o una base a partir de la cual crear un sample Norht_Iberian decente.

Podríamos involucrar a todo el foro para que cada zona de Europa proponga muestras de su área y hacer un modelo reuniendo todas las muestras customizadas en un spreadsheet . Feichy para balcánicos, Nassbean para bereberes, Grace para islas británicas, Samnium para franceses e italianos, etc, los de aquí a ibéricos etc...

Se crearía una tangana buena, Nassbean sacaría NA hasta a los finlandeses, y los griegos darían 0% West Asian, los franceses serían alemanes...;)

[gixajo]

:rolleyes:

Target: gixajo_scaled
Distance: 3.6246% / 0.03624612
100.0 PseudoAlejandro

:rolleyes:

[gixajo]

Gixajo estará viciao dándole al Mapache.

He intentado representar la ascendencia del equino Alejandro con Galicia + Castilla y León + Sicilian West, al final no resultó tan mal aunque lo que más difiere es la estepa. :D




PseudoAlejandro,0.1055603,0.14529597,0.02705473,-0.0131114,0.03479833,-0.00269597,-0.0026024,0.00252547,0.022168,0.02718017,-0.00034893,0.00555893,-0.00897743,-0.00743167,0.00704737,-0.00304457,-0.0042953,-0.00131143,-0.00348227,-0.00314277,0.00066547,-0.0009938,-0.00089917,-0.0032488,-0.00040363

Que tramposo, tu juegas con ventaja, tienes nuestras coordenadas...

[Defcon2]

Que tramposo, tu juegas con ventaja, tienes nuestras coordenadas...

Puedes pedírnosla, aunque a algunas personas quizá no les guste :rolleyes:

[Defcon2]

Esta tarde me pondré con ello, tengo unas buenas muestras que mezclar para ir puliendo al menos el West Iberian.

El primer sample que hice podría ser un North_Iberian bastante decente, o una base a partir de la cual crear un sample Norht_Iberian decente.

Podríamos involucrar a todo el foro para que cada zona de Europa proponga muestras de su área y hacer un modelo reuniendo todas las muestras customizadas en un spreadsheet . Feichy para balcánicos, Nassbean para bereberes, Grace para islas británicas, Samnium para franceses e italianos, etc, los de aquí a ibéricos etc...

Se crearía una tangana buena, Nassbean sacaría NA hasta a los finlandeses, y los griegos darían 0% West Asian, los franceses serían alemanes...;)

Franceses que quieren ser alemanes no los entiendo, los dos países más antagónicos históricamente que existen debe ser precisamente Francia y Alemania.

[gixajo]

Puedes pedírnosla, aunque a algunas personas quizá no les guste :rolleyes:

No, no te preocupes.

No sé a quien te refieres :confused:, las mías os las dí, no?

Yo de los de aquí solo tengo las del astronauta irlandés, porque las puso en un post cuando le pasamos a Nassbean las nuestras para que se comparara con nosotros.

Yo se las pasé por privado.

[Defcon2]

No, no te preocupes.

No sé a quien te refieres :confused:, las mías os las dí, no?

Yo de los de aquí solo tengo las del astronauta irlandés, porque las puso en un post cuando le pasamos a Nassbean las nuestras para que se comparara con nosotros.

Yo se las pasé por privado.

No es de nuestra "pandilla" y apenas escribe por aquí.

Mis coordenadas mezclada con Japón:

Target: Japoespañol
Distance: 4.0924% / 0.04092359
45.6 Han
28.0 Anatolia_Barcin_N
12.4 Yamnaya_RUS_Samara
5.0 WHG
4.2 Nganassan
2.2 IRN_Shahr_I_Sokhta_BA2
2.0 MAR_Taforalt
0.6 SSA

[gixajo]

Franceses que quieren ser alemanes no los entiendo, los dos países más antagónicos históricamente que existen debe ser precisamente Francia y Alemania.

Cualquier cosa antes que ibéricos.:)

Era por decir que prefieren que su genética tire más para el norte que hacia el sur.

[gixajo]

No es de nuestra "pandilla" y apenas escribe por aquí.

Mis coordenadas mezclada con Japón:

Target: Japoespañol
Distance: 4.0924% / 0.04092359
45.6 Han
28.0 Anatolia_Barcin_N
12.4 Yamnaya_RUS_Samara
5.0 WHG
4.2 Nganassan
2.2 IRN_Shahr_I_Sokhta_BA2
2.0 MAR_Taforalt
0.6 SSA

A la tarde me dedico si me dejan, a hacer alguna mezcla de coordenadas, y a buscar un método rápido para no perder tanto tiempo con las tablas etc...

Has probado los métodos de lso enlaces que puse para hacer tablas?

[Defcon2]

A la tarde me dedico si me dejan, a hacer alguna mezcla de coordenadas, y a buscar un método rápido para no perder tanto tiempo con las tablas etc...

Has probado los métodos de lso enlaces que puse para hacer tablas?

A la tarde los probaré.

[Defcon2]

A la tarde me dedico si me dejan, a hacer alguna mezcla de coordenadas, y a buscar un método rápido para no perder tanto tiempo con las tablas etc...

Has probado los métodos de lso enlaces que puse para hacer tablas?

Ahora se cómo convertir el texto en tabla con el método openoffice, pero al copiar y pegar texto desde un bloc de notas lo hacía automáticamente (salía esa ventanita de separado con comas, tabulador, etc.).

[Rocinante]

Gixajo estará viciao dándole al Mapache.

He intentado representar la ascendencia del equino Alejandro con Galicia + Castilla y León + Sicilian West, al final no resultó tan mal aunque lo que más difiere es la estepa. :D

Target: Alejandro_scaled
Distance: 1.6882% / 0.01688223
52.6 Anatolia_Barcin_N
33.2 Yamnaya_RUS_Samara
8.4 WHG
5.4 MAR_Taforalt
0.4 IRN_Ganj_Dareh_N

Target: PseudoAlejandro
Distance: 1.5992% / 0.01599244
54.4 Anatolia_Barcin_N
31.6 Yamnaya_RUS_Samara
7.8 WHG
5.0 MAR_Taforalt
1.2 IRN_Shahr_I_Sokhta_BA2


PseudoAlejandro,0.1055603,0.14529597,0.02705473,-0.0131114,0.03479833,-0.00269597,-0.0026024,0.00252547,0.022168,0.02718017,-0.00034893,0.00555893,-0.00897743,-0.00743167,0.00704737,-0.00304457,-0.0042953,-0.00131143,-0.00348227,-0.00314277,0.00066547,-0.0009938,-0.00089917,-0.0032488,-0.00040363

https://lh3.googleusercontent.com/proxy/YbpQ2q6TQyQLphk2aBgfY9a2qhDwPy4exAhwfhuiVrAsTbZSzV fIWDMj43Zra38Ty7kZ5bwOEFiPre0vo-1pGZf8Tu-S6WM6uIs4XdIF67okfvYGv-U_DSb0ThRQuTHrIGlZUZizCz21CTnZUEvIuCHuYkJQKZnoPvmZ 4ZiQ

A ver lo que entiendo es que agarraste las coordenadas avg y mezclaste ahi a ver si salia similar a mi no? La cosa es que mi mongrelizacion es 2/4 gallego, 1/4 y se supoooooooone que 1/4 asturiano, pero esa es mi linea paterna y parece mas gallega que asturiana, ya por el apellido tambien. Intentalo asi.

De CyL no tengo nada la verdad.

[Defcon2]

https://lh3.googleusercontent.com/proxy/YbpQ2q6TQyQLphk2aBgfY9a2qhDwPy4exAhwfhuiVrAsTbZSzV fIWDMj43Zra38Ty7kZ5bwOEFiPre0vo-1pGZf8Tu-S6WM6uIs4XdIF67okfvYGv-U_DSb0ThRQuTHrIGlZUZizCz21CTnZUEvIuCHuYkJQKZnoPvmZ 4ZiQ

A ver lo que entiendo es que agarraste las coordenadas avg y mezclaste ahi a ver si salia similar a mi no? La cosa es que mi mongrelizacion es 2/4 gallego, 1/4 y se supoooooooone que 1/4 asturiano, pero esa es mi linea paterna y parece mas gallega que asturiana, ya por el apellido tambien. Intentalo asi.

De CyL no tengo nada la verdad.

Galicia + Asturias + Sicilian West.

Target: PseudoAlejandro2
Distance: 1.7826% / 0.01782632
54.2 Anatolia_Barcin_N
31.4 Yamnaya_RUS_Samara
8.6 WHG
5.2 MAR_Taforalt
0.4 IRN_Shahr_I_Sokhta_BA2
0.2 IRN_Ganj_Dareh_N


PseudoAlejandro2,0.10644553,0.14540873,0.02877297,-0.0121783,0.03743143,-0.00573273,-0.0044563,0.0032948,0.0213501,0.02788907,-0.0006557,0.00564227,-0.0112901,-0.006453,0.00775603,-0.00532823,-0.00733773,-0.000312,-0.0037756,-0.0026702,0.00285613,-0.00271123,-0.0018714,-0.00195037,0.0026697


Tratándose de promedios es normal que se obtenga más EEF.

[Rocinante]

Galicia + Asturias + Sicilian West.

Target: PseudoAlejandro2
Distance: 1.7826% / 0.01782632
54.2 Anatolia_Barcin_N
31.4 Yamnaya_RUS_Samara
8.6 WHG
5.2 MAR_Taforalt
0.4 IRN_Shahr_I_Sokhta_BA2
0.2 IRN_Ganj_Dareh_N



Tratándose de promedios es normal que se obtenga más EEF.

No podrias hacer un Galica + Galicia + Asturias + Sicilian East? Que en realidad mi parte italiana es del Este de Sicilia

[Defcon2]

No podrias hacer un Galica + Galicia + Asturias + Sicilian East? Que en realidad mi parte italiana es del Este de Sicilia

Target: PseudoAlejandro3
Distance: 1.7619% / 0.01761926
54.2 Anatolia_Barcin_N
32.4 Yamnaya_RUS_Samara
8.4 WHG
5.0 MAR_Taforalt


PseudoAlejandro3,0.10778408,0.14592588,0.03011735,-0.01094613,0.03798998,-0.00569403,-0.00503943,0.00296155,0.02074223,0.02818093,-0.00004973,0.00586568,-0.01259908,-0.00756928,0.00768698,-0.0046776,-0.00681258,-0.0010486,-0.00275133,-0.0016918,0.00214213,-0.00229443,-0.00127688,-0.00093733,0.00236815

[gixajo]

Ahora se cómo convertir el texto en tabla con el método openoffice, pero al copiar y pegar texto desde un bloc de notas lo hacía automáticamente (salía esa ventanita de separado con comas, tabulador, etc.).

Yo he usado esa tabala en un documento de texto, es fea, y las fórmulas son diferentes, pero tienes opción de insertar automáticamente fórmula de promedio de la columna que selecciones, al final el nuevo promedio de Western_iberia que acabo de hacer lo hice ahí.

Cambia el formato de número a estados unidos y el número de decimales que vayas a usar, y va bastante bien.

Puedes hacer medias de muchas muestras, pero mejor quitar el nombre delante de cada muestra, o hacer la tabla con el nombre y luego eliminar la columna de nombres, porque si no salen celdas enormemente alargadas y es complicado ver bien los datos así y trabajar con ellas.

Yo creo que ya usaré este método.

[gixajo]

Bueno, yo sigo con lo mío, nueva muestra de Western_Iberia:

Es una mezcla del Western_Iberia _A (Castilla y León+Extremadura+Portugal) con otras dos muestas diferentes de Castilla y León y Portugal.:picard1:

Ni la he probado en el modelo de Celti ni conmigo mismo, está recién hecho, os lo traigo calentito, aunque este en particular es especial para los portugueses.

Que sea lo que Dios quiera...:D


Western_Iberia_B,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102

[gixajo]

Se aleja de mí, podría ser buena señal...

Target: gixajo_scaled
Distance: 2.8762% / 0.02876167
100.0 Western_Iberia_B

[gixajo]

Otro sample más , pongo los dos últimos juntos, para que no haya que ir buscándolos:


Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_B,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102

[Defcon2]

Otro sample más , pongo los dos últimos juntos, para que no haya que ir buscándolos:


Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_B,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102


Distance to: Juan_scaled
0.02693757 Western_Iberia_B
0.03210017 Western_Iberia_C

Tienes mis coordenadas?

[gixajo]

Añado un tercero nuevo:


Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_B,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_D,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936

https://i.imgur.com/Fl2b2MK.png

[gixajo]

Son todo mezclas diferentes de Castilla y León, Portugal y Extremadura mezcladas, con un poco Galicia de vez en cuando...

[gixajo]

Ahora se cómo convertir el texto en tabla con el método openoffice, pero al copiar y pegar texto desde un bloc de notas lo hacía automáticamente (salía esa ventanita de separado con comas, tabulador, etc.).

Defcon, si ya tienes unas coordenadas buenas, puedes multiplicarlas por tres(o lo que quieras), sumarle otra coordenada diferente que te parezca interesante a ese resultado, y luego dividirlo por 4(o el número necesario para hallar el promedio con las muestras utilizadas), así no varías mucho la coordenada que ya tienes por buena y le vas añadiendo cosas nuevas poco a poco.

[Rocinante]

Target: PseudoAlejandro3
Distance: 1.7619% / 0.01761926
54.2 Anatolia_Barcin_N
32.4 Yamnaya_RUS_Samara
8.4 WHG
5.0 MAR_Taforalt


PseudoAlejandro3,0.10778408,0.14592588,0.03011735,-0.01094613,0.03798998,-0.00569403,-0.00503943,0.00296155,0.02074223,0.02818093,-0.00004973,0.00586568,-0.01259908,-0.00756928,0.00768698,-0.0046776,-0.00681258,-0.0010486,-0.00275133,-0.0016918,0.00214213,-0.00229443,-0.00127688,-0.00093733,0.00236815


0.03707585 PseudoAlejandro3

Ni tan cerca eh? Pero oye, esta bastante buena la idea de crear averages. A ver si se crean porfin un average castellano unico, y lo mismo con las 1526mil muestras catalanas.

[Rocinante]

Ya veo que andan en ello.

Miren, es sencillo, en mi opinion personal hay que crear un Basque, West y East Iberia.

Basque Iberia: Todas las muestras francesas y españolas vascas, junto con la de Navarra.

West: Galicia, Portugal, CyL, Asturias y Extremadura.

East: Todas las muestras catalanas, balears, valencianas, Murcia, Aragon.

El resto se podria hacer algo parecido al Basque, como un South Iberia y un Central.

[mitalit]

0.03707585 PseudoAlejandro3

Ni tan cerca eh? Pero oye, esta bastante buena la idea de crear averages. A ver si se crean porfin un average castellano unico, y lo mismo con las 1526mil muestras catalanas.

Pero son clavados no?
Target: Alejandro_scaled
Distance: 1.6882% / 0.01688223
52.6 Anatolia_Barcin_N
33.2 Yamnaya_RUS_Samara
8.4 WHG
5.4 MAR_Taforalt
0.4 IRN_Ganj_Dareh_N

Target: PseudoAlejandro3
Distance: 1.7619% / 0.01761926
54.2 Anatolia_Barcin_N
32.4 Yamnaya_RUS_Samara
8.4 WHG
5.0 MAR_Taforalt

[Defcon2]

Pero son clavados no?
Target: Alejandro_scaled
Distance: 1.6882% / 0.01688223
52.6 Anatolia_Barcin_N
33.2 Yamnaya_RUS_Samara
8.4 WHG
5.4 MAR_Taforalt
0.4 IRN_Ganj_Dareh_N

Target: PseudoAlejandro3
Distance: 1.7619% / 0.01761926
54.2 Anatolia_Barcin_N
32.4 Yamnaya_RUS_Samara
8.4 WHG
5.0 MAR_Taforalt

Sí, se puede representar bastante bien a una persona con los promedios. Esto es bueno para saber si las coordenadas disponibles en las hojas de datos son fiables.

[gixajo]

No podrias hacer un Galica + Galicia + Asturias + Sicilian East? Que en realidad mi parte italiana es del Este de Sicilia

A ver si te sirve alguno Celti




Pseudo_Rocinante1,0.105855,0.144882,0.025770,-0.039729,0.102172,-0.020359,-0.003760,-0.000231,0.019975,0.026121,-0.001029,0.008492,-0.006541,-0.011881,0.007329,-0.001989,-0.004303,-0.001900,-0.003519,-0.007087,0.001040,-0.000742,0.000904,-0.000924,-0.003552
Pseudo_Rocinante2,0.104952,0.143528,0.032307,-0.022933,0.071705,-0.009622,-0.001763,0.001731,0.025020,0.027366,-0.003194,0.009117,-0.008920,-0.011239,0.010586,-0.005503,-0.008475,-0.000697,-0.003582,-0.010234,-0.000354,-0.003030,0.002301,-0.003414,-0.005309
Pseudo_Rocinante3,0.107563,0.145052,0.035135,-0.017765,0.072475,-0.012690,-0.002115,-0.002769,0.020623,0.025726,-0.003844,0.010166,-0.006913,-0.019084,0.008415,0.004906,0.005476,-0.003927,-0.007353,-0.004544,0.004264,-0.002041,-0.000041,-0.001185,-0.002194



Edit:no cambia gran cosa, pero dupliqué al copiar una de las coordenadas, pongo la real.

[gixajo]

Pero son clavados no?
Target: Alejandro_scaled
Distance: 1.6882% / 0.01688223
52.6 Anatolia_Barcin_N
33.2 Yamnaya_RUS_Samara
8.4 WHG
5.4 MAR_Taforalt
0.4 IRN_Ganj_Dareh_N

Target: PseudoAlejandro3
Distance: 1.7619% / 0.01761926
54.2 Anatolia_Barcin_N
32.4 Yamnaya_RUS_Samara
8.4 WHG
5.0 MAR_Taforalt

Joder, si esos resultados son de Celti, mis samples no le van a servir, yo hice tres diferentes con lo que él dijo...

[Rocinante]

Pero son clavados no?
Target: Alejandro_scaled
Distance: 1.6882% / 0.01688223
52.6 Anatolia_Barcin_N
33.2 Yamnaya_RUS_Samara
8.4 WHG
5.4 MAR_Taforalt
0.4 IRN_Ganj_Dareh_N

Target: PseudoAlejandro3
Distance: 1.7619% / 0.01761926
54.2 Anatolia_Barcin_N
32.4 Yamnaya_RUS_Samara
8.4 WHG
5.0 MAR_Taforalt

Son muy parecidos, hay bastante equilibrio en los componentes de ese modelo. La verdad es que soy lo que soy, indudablemente.


A ver si te sirve alguno Celti




Pseudo_Rocinante1,0.105855,0.144882,0.025770,-0.039729,0.102172,-0.020359,-0.003760,-0.000231,0.019975,0.026121,-0.001029,0.008492,-0.006541,-0.011881,0.007329,-0.001989,-0.004303,-0.001900,-0.003519,-0.007087,0.001040,-0.000742,0.000904,-0.000924,-0.003552
Pseudo_Rocinante2,0.104952,0.143528,0.032307,-0.022933,0.071705,-0.009622,-0.001763,0.001731,0.025020,0.027366,-0.003194,0.009117,-0.008920,-0.011239,0.010586,-0.005503,-0.008475,-0.000697,-0.003582,-0.010234,-0.000354,-0.003030,0.002301,-0.003414,-0.005309
Pseudo_Rocinante3,0.107563,0.145052,0.035135,-0.017765,0.072475,-0.012690,-0.002115,-0.002769,0.020623,0.025726,-0.003844,0.010166,-0.006913,-0.019084,0.008415,0.004906,0.005476,-0.003927,-0.007353,-0.004544,0.004264,-0.002041,-0.000041,-0.001185,-0.002194



Edit:no cambia gran cosa, pero dupliqué al copiar una de las coordenadas, pongo la real.

Distance to: A_scaled
0.04954685 Pseudo_Rocinante3
0.05719167 Pseudo_Rocinante2
0.08418945 Pseudo_Rocinante1

El 1 y el 2 estan lejos, el 3 es el mejor, indudablemente. Esto confirma lo que soy, ni mas ni menos.

[gixajo]

Son muy parecidos, hay bastante equilibrio en los componentes de ese modelo. La verdad es que soy lo que soy, indudablemente.



Distance to: A_scaled
0.04954685 Pseudo_Rocinante3
0.05719167 Pseudo_Rocinante2
0.08418945 Pseudo_Rocinante1

El 1 y el 2 estan lejos, el 3 es el mejor, indudablemente. Esto confirma lo que soy, ni mas ni menos.

No ví muestra asturiana, el primero es Galicia+Castilla león+Sicilia Este, el segundo Galicia+Castilla león+Castilla León+Sicilia y el tercero Galicia+Galicia+Castilla León+Sicilia Este.

En tu modelo antiguo daban los tres distancias bastante altas igualmente. Los samples son del modern averages , si eso, mira que samples te dan menos distancia , y podemos hacer uno promedio con ellos. Yo cogí al azar cada sample, voy a ciegas.

[Defcon2]

Mi primer promedio con antiguos, pensé que este iba a ser un pastiche redundante pero ojo cuidao:

Target: Steppe+WHG+EEF
Distance: 0.7733% / 0.00773267
35.4 WHG
32.0 Anatolia_Barcin_N
27.4 Yamnaya_RUS_Samara
3.6 IRN_Ganj_Dareh_N
1.0 Kura-Araxes_ARM_Kaps
0.4 BRA_LapaDoSanto_9600BP
0.2 Han


Steppe+WHG+EEF,0.12165857,0.127967,0.07738327,0.06 61003,0.0595527,0.01915563,0.00648537,0.00883347,0 .02425683,0.00863133,-0.00214833,-0.00142417,-0.00306663,-0.01096033,0.0162168,0.02430933,0.00761983,0.00188 223,0.00047753,0.0191825,0.02755773,0.005762,-0.01379043,-0.04935753,0.00346643

Target: Juan_scaled
Distance: 12.6869% / 0.12686860
100.0 Steppe+WHG+EEF

[gixajo]

Ya veo que andan en ello.

Miren, es sencillo, en mi opinion personal hay que crear un Basque, West y East Iberia.

Basque Iberia: Todas las muestras francesas y españolas vascas, junto con la de Navarra.

West: Galicia, Portugal, CyL, Asturias y Extremadura.

East: Todas las muestras catalanas, balears, valencianas, Murcia, Aragon.

El resto se podria hacer algo parecido al Basque, como un South Iberia y un Central.

Sí, esa es la idea, aunque sería mejor varias muestras de cada zona. pero hay zonas como Andalucía que entran tanto en Western como en Eastern Iberia, y no me suena que los samples estén por provincias.Un solo sample Ibérico no va a contentar a nadie, y uno solo Western_iberia, o Eastern_Iberia, tampoco.

Mejor scaled que unescaled?

Mejor individuales o averages?

[mitalit]

Que os sale?

Spanish_Pirineu:GRA029,0.126344,0.146236,0.041106, 0.005491,0.044316,0,-0.00047,0.005077,0.01718,0.033167,-0.004709,0.014687,-0.017839,-0.009634,0.005157,-0.000928,-0.003781,-0.001774,-0.001634,-0.003877,0.004118,0.008037,-0.002342,-0.000241,0.00012
Berber,-0.1025221,0.131656,-0.0023166,-0.0759511,0.0310606,-0.0356582,-0.0335058,0.012016,0.0766524,0.0315659,0.0088154,-0.0092596,0.0247308,-0.0204174,0.0203483,-0.0157212,0.0001119,-0.0288305,-0.0534217,0.0119165,-0.0208205,-0.0511129,0.0307414,-0.0051899,0.0074671


Target: Xabier_scaled
Distance: 2.7523% / 0.02752307
94.4 Spanish_Pirineu
5.6 Berber

[gixajo]

A ver, yo solo puedo mirar samples cercanos a mí , así que mejor decidme vosotros muestras buenas , y yo en vez de elegir samples, que no tengo buena mano, me dedico a hacer promedios.

Puedo hacer promedios de cosa de 8 samples cómodamente, o de más . Estoy limitado por el tamaño de una hoja de texto, pero puedo usar fuentes más pequeñas y meter más filas. Así que si queréis, pasarme los samples, o el nombre de samples interesantes y en que spreadsheet están y los hago.

Tardo practicamente lo mismo en hacer promedios de 2 que de 12, y si resuelvo una chorrada, tardaría 5 minutos...

[Rocinante]

Sí, esa es la idea, aunque sería mejor varias muestras de cada zona. pero hay zonas como Andalucía que entran tanto en Western como en Eastern Iberia, y no me suena que los samples estén por provincias.Un solo sample Ibérico no va a contentar a nadie, y uno solo Western_iberia, o Eastern_Iberia, tampoco.

Mejor scaled que unescaled?

Mejor individuales o averages?

Yo creo que siempre scaled, honestamente no conozco alguien que me haya dicho que unscaled de verdad valga la pena. No se puede hacer un solo sample iberico, porque aun asi siendo homogeneos, hay ciertas diferencias bajo lupa que ya El Club, o sea, nosotros, los guays, sabemos reconocerlas.

[gixajo]

Que os sale?

Spanish_Pirineu:GRA029,0.126344,0.146236,0.041106, 0.005491,0.044316,0,-0.00047,0.005077,0.01718,0.033167,-0.004709,0.014687,-0.017839,-0.009634,0.005157,-0.000928,-0.003781,-0.001774,-0.001634,-0.003877,0.004118,0.008037,-0.002342,-0.000241,0.00012
Berber,-0.1025221,0.131656,-0.0023166,-0.0759511,0.0310606,-0.0356582,-0.0335058,0.012016,0.0766524,0.0315659,0.0088154,-0.0092596,0.0247308,-0.0204174,0.0203483,-0.0157212,0.0001119,-0.0288305,-0.0534217,0.0119165,-0.0208205,-0.0511129,0.0307414,-0.0051899,0.0074671


Target: Xabier_scaled
Distance: 2.7523% / 0.02752307
94.4 Spanish_Pirineu
5.6 Berber

Target: gixajo_scaled
Distance: 2.1347% / 0.02134723
96.4 Spanish_Pirineu
3.6 Berber

[Defcon2]

Sí, esa es la idea, aunque sería mejor varias muestras de cada zona. pero hay zonas como Andalucía que entran tanto en Western como en Eastern Iberia, y no me suena que los samples estén por provincias.Un solo sample Ibérico no va a contentar a nadie, y uno solo Western_iberia, o Eastern_Iberia, tampoco.

Mejor scaled que unescaled?

Mejor individuales o averages?

Tengo de Cataluña, lo hiciste?

Target: Cataluña
Distance: 2.1808% / 0.02180835
52.2 Anatolia_Barcin_N
33.2 Yamnaya_RUS_Samara
12.4 WHG
2.2 MAR_Taforalt


Cataluña,0.12077928,0.14707664,0.04290777,0.002366 25,0.04438687,0.0001284,-0.00038494,0.00249616,0.02112285,0.03031871,-0.00189737,0.00757058,-0.01494542,-0.01224015,0.00818586,0.00116473,-0.00122812,0.00020602,-0.00021286,-0.00129585,0.00355161,-0.00018646,-0.0022193,-0.00277015,0.00019819


Distance to: Juan_scaled
0.03965703 Cataluña

[Defcon2]

Que os sale?

Spanish_Pirineu:GRA029,0.126344,0.146236,0.041106, 0.005491,0.044316,0,-0.00047,0.005077,0.01718,0.033167,-0.004709,0.014687,-0.017839,-0.009634,0.005157,-0.000928,-0.003781,-0.001774,-0.001634,-0.003877,0.004118,0.008037,-0.002342,-0.000241,0.00012
Berber,-0.1025221,0.131656,-0.0023166,-0.0759511,0.0310606,-0.0356582,-0.0335058,0.012016,0.0766524,0.0315659,0.0088154,-0.0092596,0.0247308,-0.0204174,0.0203483,-0.0157212,0.0001119,-0.0288305,-0.0534217,0.0119165,-0.0208205,-0.0511129,0.0307414,-0.0051899,0.0074671


Target: Xabier_scaled
Distance: 2.7523% / 0.02752307
94.4 Spanish_Pirineu
5.6 Berber

Target: Juan_scaled
Distance: 2.7637% / 0.02763710
88.4 Spanish_Pirineu
11.6 Berber

[mitalit]

Target: gixajo_scaled
Distance: 2.1347% / 0.02134723
96.4 Spanish_Pirineu
3.6 Berber

Es una buena manera de ver el na antiguo y moderno, no? Las muestras vascas no son buenas como ya comente, pero esta es 100 europea y "española".

[Defcon2]

Es una buena manera de ver el na antiguo y moderno, no? Las muestras vascas no son buenas como ya comente, pero esta es 100 europea y "española".

Target: Spanish_Pirineu:GRA029
Distance: 2.5100% / 0.02510013
53.2 Anatolia_Barcin_N
34.4 Yamnaya_RUS_Samara
11.8 WHG
0.4 Han
0.2 MAR_Taforalt

Tiene el mismo problema que los vascos ya que no tiene norteafricano.

[mitalit]

Target: Spanish_Pirineu:GRA029
Distance: 2.5100% / 0.02510013
53.2 Anatolia_Barcin_N
34.4 Yamnaya_RUS_Samara
11.8 WHG
0.4 Han
0.2 MAR_Taforalt

Tiene el mismo problema que los vascos ya que no tiene norteafricano.

Que te sale en esta?
Spanish_Pirineu:GRA029,0.126344,0.146236,0.041106, 0.005491,0.044316,0,-0.00047,0.005077,0.01718,0.033167,-0.004709,0.014687,-0.017839,-0.009634,0.005157,-0.000928,-0.003781,-0.001774,-0.001634,-0.003877,0.004118,0.008037,-0.002342,-0.000241,0.00012
Berber,-0.1025221,0.131656,-0.0023166,-0.0759511,0.0310606,-0.0356582,-0.0335058,0.012016,0.0766524,0.0315659,0.0088154,-0.0092596,0.0247308,-0.0204174,0.0203483,-0.0157212,0.0001119,-0.0288305,-0.0534217,0.0119165,-0.0208205,-0.0511129,0.0307414,-0.0051899,0.0074671
Arab,0.0542556,0.1360809,-0.0682589,-0.1211978,-0.0037272,-0.056305,-0.0130301,-0.0088204,0.0628798,-0.002045,0.0167981,-0.0325711,0.0657411,0.0058413,0.0080528,0.0270778,-0.0210643,0.0028717,-0.0019133,0.0248312,0.0137259,0.0160887,-0.0087369,0.0027848,-0.0052289
Levantine,0.0853674,0.1486734,-0.0573978,-0.0925072,-0.0096018,-0.0350286,-0.002209,-0.0081688,0.016321,0.008237,0.0091586,-0.0099212,0.0204854,0.0118632,-0.0055372,0.0021214,-0.011239,0.0010134,0.0021116,-0.003652,-0.0005242,0.003116,0.000567,-0.0029402,0.0046462
Italian,0.1213354,0.1473534,0.0208925,-0.0145996,0.0292668,-0.0058844,0.0028435,0.0001615,0.0074653,0.0241279,-0.0002273,0.0063544,-0.0098859,-0.0045141,-0.0015744,-0.0027048,0.0011213,0.0008997,0.0021747,-0.0038269,-0.0025705,0.0018548,-0.0024033,0.0038316,-0.0014967
German,0.1302626,0.1373792,0.0579811,0.0387068,0.0 400035,0.0156461,0.0040665,0.0057865,0.003526,0.00 188,-0.0044133,0.0023732,-0.0053706,-0.0025417,0.0085125,0.0032913,-0.0032728,0.0016631,0.0033669,0.0017191,0.00314,0. 002005,7.18e-05,0.0083052,0.0002774
English,0.1318551,0.137043,0.0617883,0.044013,0.03 92299,0.0167481,0.0049845,0.0057448,0.0052637,0.00 56781,-0.0047691,0.0056161,-0.0125892,-0.0103507,0.0206153,0.0035521,-0.0103689,0.004094,0.003685,0.0029619,0.0059369,0. 0034036,-0.0032693,0.0137938,3.16e-05


Si, no tiene nada de norteafricano. Incluso los franceses tienen, pero es una buena muestra para sacar el norteafricano sin filtros no?

[Defcon2]

Que te sale en esta?
Spanish_Pirineu:GRA029,0.126344,0.146236,0.041106, 0.005491,0.044316,0,-0.00047,0.005077,0.01718,0.033167,-0.004709,0.014687,-0.017839,-0.009634,0.005157,-0.000928,-0.003781,-0.001774,-0.001634,-0.003877,0.004118,0.008037,-0.002342,-0.000241,0.00012
Berber,-0.1025221,0.131656,-0.0023166,-0.0759511,0.0310606,-0.0356582,-0.0335058,0.012016,0.0766524,0.0315659,0.0088154,-0.0092596,0.0247308,-0.0204174,0.0203483,-0.0157212,0.0001119,-0.0288305,-0.0534217,0.0119165,-0.0208205,-0.0511129,0.0307414,-0.0051899,0.0074671
Arab,0.0542556,0.1360809,-0.0682589,-0.1211978,-0.0037272,-0.056305,-0.0130301,-0.0088204,0.0628798,-0.002045,0.0167981,-0.0325711,0.0657411,0.0058413,0.0080528,0.0270778,-0.0210643,0.0028717,-0.0019133,0.0248312,0.0137259,0.0160887,-0.0087369,0.0027848,-0.0052289
Levantine,0.0853674,0.1486734,-0.0573978,-0.0925072,-0.0096018,-0.0350286,-0.002209,-0.0081688,0.016321,0.008237,0.0091586,-0.0099212,0.0204854,0.0118632,-0.0055372,0.0021214,-0.011239,0.0010134,0.0021116,-0.003652,-0.0005242,0.003116,0.000567,-0.0029402,0.0046462
Italian,0.1213354,0.1473534,0.0208925,-0.0145996,0.0292668,-0.0058844,0.0028435,0.0001615,0.0074653,0.0241279,-0.0002273,0.0063544,-0.0098859,-0.0045141,-0.0015744,-0.0027048,0.0011213,0.0008997,0.0021747,-0.0038269,-0.0025705,0.0018548,-0.0024033,0.0038316,-0.0014967
German,0.1302626,0.1373792,0.0579811,0.0387068,0.0 400035,0.0156461,0.0040665,0.0057865,0.003526,0.00 188,-0.0044133,0.0023732,-0.0053706,-0.0025417,0.0085125,0.0032913,-0.0032728,0.0016631,0.0033669,0.0017191,0.00314,0. 002005,7.18e-05,0.0083052,0.0002774
English,0.1318551,0.137043,0.0617883,0.044013,0.03 92299,0.0167481,0.0049845,0.0057448,0.0052637,0.00 56781,-0.0047691,0.0056161,-0.0125892,-0.0103507,0.0206153,0.0035521,-0.0103689,0.004094,0.003685,0.0029619,0.0059369,0. 0034036,-0.0032693,0.0137938,3.16e-05


Si, no tiene nada de norteafricano. Incluso los franceses tienen, pero es una buena muestra para sacar el norteafricano sin filtros no?

Pero tu modelo compensa la falta de NA en Pirineu para otorgarle porcentaje a Berber, que además tiene un componente granjero elevado. Me sale lo mismo.

[gixajo]

Yo creo que siempre scaled, honestamente no conozco alguien que me haya dicho que unscaled de verdad valga la pena. No se puede hacer un solo sample iberico, porque aun asi siendo homogeneos, hay ciertas diferencias bajo lupa que ya El Club, o sea, nosotros, los guays, sabemos reconocerlas.

A ver si con esta acierto más, ya me estoy empezando a mosquear:

Más te vale que estés a menos de 3 de distancia!!!

Le añadí más cifras decimales al nuevo promedio , haciendo el método opuesto al redondeo, según he creido conveniente.


Pseudo_RocinanteG,0.10130287,0.144205,0.0361904,-0.0069106,0.03944624,-0.00489578,-0.0049917,-0.00099154,0.01908622,0.0266889,-0.00194911,0.00495449,-0.00797028,-0.0205057,0.0097672,0.01497713,0.016946,-0.0069348,-0.00653601,0.00625332,-0.00096219,-0.0022225,-0.0029579,0.00033602,-0.0029976

[gixajo]

Que te sale en esta?
Spanish_Pirineu:GRA029,0.126344,0.146236,0.041106, 0.005491,0.044316,0,-0.00047,0.005077,0.01718,0.033167,-0.004709,0.014687,-0.017839,-0.009634,0.005157,-0.000928,-0.003781,-0.001774,-0.001634,-0.003877,0.004118,0.008037,-0.002342,-0.000241,0.00012
Berber,-0.1025221,0.131656,-0.0023166,-0.0759511,0.0310606,-0.0356582,-0.0335058,0.012016,0.0766524,0.0315659,0.0088154,-0.0092596,0.0247308,-0.0204174,0.0203483,-0.0157212,0.0001119,-0.0288305,-0.0534217,0.0119165,-0.0208205,-0.0511129,0.0307414,-0.0051899,0.0074671
Arab,0.0542556,0.1360809,-0.0682589,-0.1211978,-0.0037272,-0.056305,-0.0130301,-0.0088204,0.0628798,-0.002045,0.0167981,-0.0325711,0.0657411,0.0058413,0.0080528,0.0270778,-0.0210643,0.0028717,-0.0019133,0.0248312,0.0137259,0.0160887,-0.0087369,0.0027848,-0.0052289
Levantine,0.0853674,0.1486734,-0.0573978,-0.0925072,-0.0096018,-0.0350286,-0.002209,-0.0081688,0.016321,0.008237,0.0091586,-0.0099212,0.0204854,0.0118632,-0.0055372,0.0021214,-0.011239,0.0010134,0.0021116,-0.003652,-0.0005242,0.003116,0.000567,-0.0029402,0.0046462
Italian,0.1213354,0.1473534,0.0208925,-0.0145996,0.0292668,-0.0058844,0.0028435,0.0001615,0.0074653,0.0241279,-0.0002273,0.0063544,-0.0098859,-0.0045141,-0.0015744,-0.0027048,0.0011213,0.0008997,0.0021747,-0.0038269,-0.0025705,0.0018548,-0.0024033,0.0038316,-0.0014967
German,0.1302626,0.1373792,0.0579811,0.0387068,0.0 400035,0.0156461,0.0040665,0.0057865,0.003526,0.00 188,-0.0044133,0.0023732,-0.0053706,-0.0025417,0.0085125,0.0032913,-0.0032728,0.0016631,0.0033669,0.0017191,0.00314,0. 002005,7.18e-05,0.0083052,0.0002774
English,0.1318551,0.137043,0.0617883,0.044013,0.03 92299,0.0167481,0.0049845,0.0057448,0.0052637,0.00 56781,-0.0047691,0.0056161,-0.0125892,-0.0103507,0.0206153,0.0035521,-0.0103689,0.004094,0.003685,0.0029619,0.0059369,0. 0034036,-0.0032693,0.0137938,3.16e-05


Si, no tiene nada de norteafricano. Incluso los franceses tienen, pero es una buena muestra para sacar el norteafricano sin filtros no?

Target: gixajo_scaled
Distance: 2.1056% / 0.02105639
89.4 Spanish_Pirineu
6.2 English
3.6 Berber
0.8 Arab

[mitalit]

Pero tu modelo compensa la falta de NA en Pirineu para otorgarle porcentaje a Berber, que además tiene un componente granjero elevado. Me sale lo mismo.
A mi me sale mas berber, raro no?

Target: Xabier_scaled
Distance: 2.4118% / 0.02411775
58.2 Spanish_Pirineu
22.6 English
12.6 Italian
6.6 Berber

[gixajo]

Oye Rocinante, encima que me molesto en hacerte un Pseudo_Rocinante4, ni lo pruebas?:mad:

[Defcon2]

A mi me sale mas berber, raro no?

Target: Xabier_scaled
Distance: 2.4118% / 0.02411775
58.2 Spanish_Pirineu
22.6 English
12.6 Italian
6.6 Berber

En "Berber" tienes EEF + Iberomaurusia y lo estás aumentando cuanto más componentes norteños añadas "limpios" con menos influencia meridional.

Target: Berber
Distance: 1.4458% / 0.01445757
41.2 MAR_Taforalt
38.2 Anatolia_Barcin_N
7.0 Yoruba
4.8 Yamnaya_RUS_Samara
4.4 SSA
3.2 Levant_PPNB
0.6 Dinka
0.4 WHG
0.2 IRN_Ganj_Dareh_N

[Rocinante]

A ver si con esta acierto más, ya me estoy empezando a mosquear:

Más te vale que estés a menos de 3 de distancia!!!

Le añadí más cifras decimales al nuevo promedio , haciendo el método opuesto al redondeo, según he creido conveniente.


Pseudo_RocinanteG,0.10130287,0.144205,0.0361904,-0.0069106,0.03944624,-0.00489578,-0.0049917,-0.00099154,0.01908622,0.0266889,-0.00194911,0.00495449,-0.00797028,-0.0205057,0.0097672,0.01497713,0.016946,-0.0069348,-0.00653601,0.00625332,-0.00096219,-0.0022225,-0.0029579,0.00033602,-0.0029976


Distance to: A_scaled
0.02342861 Pseudo_RocinanteG

Lo has logrado hombre, eres un crack. No se que coño andan haciendo ustedes, se están volviendo locos, pero ya os digo que sería la polla crear un average de west iberia, east iberia y basque.

[Defcon2]

Distance to: A_scaled
0.02342861 Pseudo_RocinanteG

Lo has logrado hombre, eres un crack. No se que coño andan haciendo ustedes, se están volviendo locos, pero ya os digo que sería la polla crear un average de west iberia, east iberia y basque.

A tí no te parece llamativo que los africanos del noroeste obtengan hasta un 40% de EEF? la gente se vuelve loca debido a que los españoles obtenemos entre un ~5-10% de Iberomaurusia creando 20 hilos cada día sobre ello, pero ni una palabra del EEF en norteafricanos.

Vecinos como los libios obtienen mucho menos.

[gixajo]

Lo has logrado hombre, eres un crack. No se que coño andan haciendo ustedes, se están volviendo locos, pero ya os digo que sería la polla crear un average de west iberia, east iberia y basque.

Por fin algo aceptable, ya era hora, está basada en (3 veces esta muestra galega Spanish_Galicia:HG01685+X muestras secretas)

A ver, yo ya llevo 3 samples de Western_Iberia, mezclando galegos, portugueses , castellanoleoneses y extremeños, pero tienen que venir portugueses para probarlas, por ahora solo las ha probado uno aquí, y solo una de las tres da distancias menores de 3.


Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_B,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_D,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936

Voy a probar con el datasheet de muestras individuales a ver si mejoran las distancias.

[Defcon2]

Por fin algo aceptable, ya era hora, está basada en (3 veces esta muestra galega Spanish_Galicia:HG01685+X muestras secretas)

A ver, yo ya llevo 3 samples de Western_Iberia, mezclando galegos, portugueses , castellanoleoneses y extremeños, pero tienen que venir portugueses para probarlas, por ahora solo las ha probado uno aquí, y solo una de las tres da distancias menores de 3.


Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_B,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_D,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936

Voy a probar con el datasheet de muestras individuales a ver si mejoran las distancias.

Yo y algunos portugueses:

Distance to: MrsRuderico_scaled
0.02710616 Western_Iberia_B
0.02837645 Western_Iberia_D
0.03470602 Western_Iberia_C

Distance to: Endovelicus_scaled
0.02531191 Western_Iberia_B
0.02671096 Western_Iberia_C
0.02780178 Western_Iberia_D

Distance to: Ruderico_scaled
0.02448808 Western_Iberia_C
0.02457646 Western_Iberia_B
0.03380909 Western_Iberia_D

Distance to: Juan_scaled
0.02693757 Western_Iberia_B
0.02814198 Western_Iberia_D
0.03210017 Western_Iberia_C

[Damião de Góis]

Target: Gil_Vicente
Distance: 2.0879% / 0.02087881
60.2 Spanish_Pirineu
22.8 English
10.4 Berber
4.2 Levantine
2.4 Italian


Distance to: Gil_Vicente
0.02045359 Western_Iberia_B
0.02208195 Western_Iberia_C
0.02399141 Western_Iberia_D

O western iberia parece-me bem.

[gixajo]

Yo y algunos portugueses:




Target: Gil_Vicente


O western iberia parece-me bem.

Esta está recién hecha:

Olvidáos, que creo que me faltó pegar una coordenada.:picard2:

[Damião de Góis]

Devo dizer também que eu sou um pouco periférico relativamente ao oeste da peninsula ibérica. Portanto os meus resultados valem o que valem para "validar" a sample.

Ancestralidade conhecida:
https://i.imgur.com/0X2XfDL.png

[Defcon2]

Distance to: A_scaled
0.02342861 Pseudo_RocinanteG

Lo has logrado hombre, eres un crack. No se que coño andan haciendo ustedes, se están volviendo locos, pero ya os digo que sería la polla crear un average de west iberia, east iberia y basque.

2/8 SSA, 3/8 amerindio y 3/8 europeo. Joder con nuestro amigo trirracial.

Target: KonanxB
Distance: 1.6303% / 0.01630289
40.0 BRA_LapaDoSanto_9600BP
24.2 SSA
18.0 Anatolia_Barcin_N
12.4 Yamnaya_RUS_Samara
4.0 WHG
1.4 MAR_Taforalt


KonanxB,-0.09254261,-0.0509159,0.0659207,0.04868635,-0.027171,-0.0014231,-0.12345828,-0.13767225,-0.00771363,0.00669539,0.00049986,0.00026511,-0.00298673,0.00751641,0.00282809,0.00156405,0.0036 758,0.0085559,-0.00334214,0.00008121,-0.00172658,0.00386169,-0.00167263,-0.00012724,-0.0026443

[gixajo]

Ahora sí, dos mejor que una,dos medias de extremos, a cada uno debería irle bien una:


West_IberiaE,0.105635,0.147286,0.034534,-0.002808,0.083067,-0.003419,-0.003868,0.011839,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666
West_IberiaF,0.1059749,0.14389121,0.03570005,-0.00442911,0.0411317,-0.00399821,-0.00373312,0.0027618,0.0249777,0.0283415,-0.0007001,0.00755231,-0.01198001,-0.0111856,0.0124442,-0.0004008,-0.00113155,-0.000910169,-0.0058101,-0.000245201,0.00113802,-0.00256878,0.00130049,-0.00113333,-0.00009061

[Defcon2]

Ahora sí, dos mejor que una,dos medias de extremos, a cada uno debería irle bien una:


West_IberiaE,0.105635,0.147286,0.034534,-0.002808,0.083067,-0.003419,-0.003868,0.011839,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666
West_IberiaF,0.1059749,0.14389121,0.03570005,-0.00442911,0.0411317,-0.00399821,-0.00373312,0.0027618,0.0249777,0.0283415,-0.0007001,0.00755231,-0.01198001,-0.0111856,0.0124442,-0.0004008,-0.00113155,-0.000910169,-0.0058101,-0.000245201,0.00113802,-0.00256878,0.00130049,-0.00113333,-0.00009061


Distance to: Juan_scaled
0.02693757 Western_Iberia_B
0.02814198 Western_Iberia_D
0.03210017 Western_Iberia_C
0.03305533 West_IberiaF
0.04912878 West_IberiaE

Target: Juan_scaled
Distance: 2.6026% / 0.02602564
47.2 Western_Iberia_B
36.0 Western_Iberia_D
10.8 West_IberiaE
6.0 Western_Iberia_C

[gixajo]

https://i.imgur.com/ujRa9PO.png

[gixajo]

https://i.imgur.com/ujRa9PO.png

Cómo es posible que una media entre samples portugueses y extremeños me de un 16.2% de WHG???

Metí la pata en algún componente o hay muestras de algunas de esas poblaciones con tanto WHG?

Avisé que era muy extrema, pero los samples eran de esas poblaciones.

[gixajo]

Unifico denominación y ordeno todo:

https://i.imgur.com/Rwb1OsH.png


Western_Iberia_A,0.105635,0.147286,0.034534,-0.002808,0.083067,-0.003419,-0.003868,0.011839,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666
Western_Iberia_B,0.1059749,0.14389121,0.03570005,-0.00442911,0.0411317,-0.00399821,-0.00373312,0.0027618,0.0249777,0.0283415,-0.0007001,0.00755231,-0.01198001,-0.0111856,0.0124442,-0.0004008,-0.00113155,-0.000910169,-0.0058101,-0.000245201,0.00113802,-0.00256878,0.00130049,-0.00113333,-0.00009061
Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_B,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_D,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936

[gixajo]

Si queréis añadir más samples al Western_Iberia, o quitar alguno de los que haya, lo hacéis. Igual empiezo ya con el Eastern_Iberia.

Y ya pongo mis resultados con esas 5 sources, mis distancias no son muy buenas, pero me suelen salir siempre más cercanas las del este de la península, no sé porqué.

Target: gixajo_scaled
Distance: 2.5251% / 0.02525063
83.6 Western_Iberia_B
16.4 Western_Iberia_A

Distance to: gixajo_scaled
0.02621524 Western_Iberia_B
0.02876167 Western_Iberia_B
0.03332080 Western_Iberia_C
0.03374539 Western_Iberia_D
0.04430426 Western_Iberia_A

[Damião de Góis]

Enquanto vocês experimentam não sei bem o quê (:D), resolvi comparar-me com os portugueses do G25. Isto porque descobri como usar a funcionalidade Multi. Usei a run "ULTIMATE ANCIENT COMPONENTS (SCALED) by Celtíbero Itálico" e obtive isto:

https://i.imgur.com/152VYDk.png

Não sabendo de onde são estes portugueses, consigo perceber que sou um pouco mais africano que esta média (+1%), um pouco menos farmer(-3%), dentro da média de ibermaurisian(-0,8%), um pouco mais steppe(+3.8) e dentro da média em WHG (-0.3%). Ou seja, no geral estou perto da média desta sample.

Também não consigo perceber no que torna a sample4 como outlier num PCA feito aqui anteriormente.

[gixajo]

Enquanto vocês experimentam não sei bem o quê (:D), resolvi comparar-me com os portugueses do G25. Isto porque descobri como usar a funcionalidade Multi. Usei a run "ULTIMATE ANCIENT COMPONENTS (SCALED) by Celtíbero Itálico" e obtive isto:



Não sabendo de onde são estes portugueses, consigo perceber que sou um pouco mais africano que esta média (+1%), um pouco menos farmer(-3%), dentro da média de ibermaurisian(-0,8%), um pouco mais steppe(+3.8) e dentro da média em WHG (-0.3%). Ou seja, no geral estou perto da média desta sample.

Também não consigo perceber no que torna a sample4 como outlier num PCA feito aqui anteriormente.

tenemos eso en cuenta.

Se supone que hay varios average de todas las muestras portuguesas.uno bastante bueno es este, que él solo podría usarse directamente como representativo de el oeste de la península.


Portuguese,0.1061741,0.1446114,0.0360075,-0.0044316,0.042137,-0.0040494,-0.0037412,0.0027598,0.0255982,0.029741,-0.000734,0.0074214,-0.0127373,-0.0112631,0.0125568,-0.0003978,-0.0011316,-0.0008869,-0.005762,-0.0002452,0.0011379,-0.002572,0.0013015,-0.0011326,-0.0001053

https://i.imgur.com/oD0PNpQ.png

De hecho creo que uno de mis averages es una mezcla de ese sample portugués y el otro más gallego o castellano, pero no me acuerdo cual de ellos es.

[gixajo]

Enquanto vocês experimentam não sei bem o quê (:D), resolvi comparar-me com os portugueses do G25. Isto porque descobri como usar a funcionalidade Multi. Usei a run "ULTIMATE ANCIENT COMPONENTS (SCALED) by Celtíbero Itálico" e obtive isto:

.

Edito porque llamé igual a 2 samples.

[gixajo]

Llama especialmente la atención este:


Portuguese:Portugal11,0.112685,0.139128,0.045632,-0.000969,0.0397,0.00251,-0.00423,0.002769,0.036814,0.028976,0.001624,0.0109 4,-0.013974,-0.01445,0.012486,0.009016,0.014081,-0.005194,-0.008673,0.004877,-0.00025,-0.002226,0.001849,0.003494,-0.00467


Distance to: Portuguese: Portugal11
0.02850624 Western_Iberia_B
0.03502066 Western_Iberia_E
0.03532066 Western_Iberia_D
0.04479715 Western_Iberia_C
0.05335563 Western_Iberia_A


Y pongo bien las sources, que las tenía mal puestas:


Western_Iberia_A,0.105635,0.147286,0.034534,-0.002808,0.083067,-0.003419,-0.003868,0.011839,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666
Western_Iberia_B,0.1059749,0.14389121,0.03570005,-0.00442911,0.0411317,-0.00399821,-0.00373312,0.0027618,0.0249777,0.0283415,-0.0007001,0.00755231,-0.01198001,-0.0111856,0.0124442,-0.0004008,-0.00113155,-0.000910169,-0.0058101,-0.000245201,0.00113802,-0.00256878,0.00130049,-0.00113333,-0.00009061
Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_D,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_E,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936

[gixajo]

Soy un desastre...:picard1:

Tengo la luz apagada porque tengo todo abierto y no quiero que me entren mosquitos, y no sé ni lo que hago.

[gixajo]

Y pongo bien lo de antes:

https://i.imgur.com/JDWONVk.png

https://i.imgur.com/rIEpCtL.png

[gixajo]

Target: Western_Iberia_E
Distance: 1.1245% / 0.01124459
100.0 Portuguese

Target: Western_Iberia_D
Distance: 0.5086% / 0.00508580
100.0 Portuguese

Target: Western_Iberia_C
Distance: 0.0268% / 0.00026825
100.0 Portuguese

Target: Western_Iberia_B
Distance: 0.0850% / 0.00085044
100.0 Portuguese

Target: Western_Iberia_A
Distance: 3.5314% / 0.03531446
100.0 Portuguese

[gixajo]

Distance to: Western_Iberia_C
0.00028410 Portuguese:EBC_Portugal12
0.01643443 Portuguese:EBC_Portugal10
0.01864006 Portuguese:EBC_Portugal6
0.02093695 Portuguese:EBC_Portugal9
0.02411207 Portuguese:Portugal9
0.02488198 Portuguese:Portugal8
0.02718684 Portuguese:EBC_Portugal11
0.02769786 Portuguese:Portugal6
0.02773807 Portuguese:EBC_Portugal13
0.02810808 Portuguese:EBC_Portugal3
0.02933867 Portuguese:EBC_Portugal7
0.02963252 Portuguese:EBC_Portugal1
0.03107114 Portuguese:Portugal12
0.03223796 Portuguese:Portugal15
0.03228610 Portuguese:Portugal13
0.03370279 Portuguese:Portugal10
0.03512083 Portuguese:Portugal3
0.03698678 Portuguese:Portugal5
0.03713646 Portuguese:Portugal2
0.03741230 Portuguese:Portugal14
0.04105474 Portuguese:Portugal7
0.04479715 Portuguese:Portugal11
0.04710325 Portuguese:Portugal4
0.04842075 Portuguese:Portugal1
0.05474451 Portuguese:EBC_Portugal2

Distance to: Western_Iberia_B
0.01583173 Portuguese:EBC_Portugal1
0.01592911 Portuguese:EBC_Portugal11
0.01763816 Portuguese:EBC_Portugal13
0.01800115 Portuguese:EBC_Portugal7
0.01912389 Portuguese:Portugal10
0.02025445 Portuguese:EBC_Portugal3
0.02092902 Portuguese:EBC_Portugal12
0.02168668 Portuguese:Portugal2
0.02171593 Portuguese:EBC_Portugal10
0.02196985 Portuguese:Portugal13
0.02355185 Portuguese:EBC_Portugal9
0.02421935 Portuguese:Portugal6
0.02430969 Portuguese:Portugal12
0.02474972 Portuguese:Portugal15
0.02740638 Portuguese:Portugal3
0.02772518 Portuguese:Portugal14
0.02795068 Portuguese:Portugal8
0.02850624 Portuguese:Portugal11
0.02995953 Portuguese:EBC_Portugal6
0.03029507 Portuguese:Portugal7
0.03141021 Portuguese:Portugal9
0.03160390 Portuguese:Portugal5
0.03351678 Portuguese:Portugal1
0.03537679 Portuguese:Portugal4
0.03746349 Portuguese:EBC_Portugal2

[Damião de Góis]

É suposto ficarmos no fim só com uma sample "Western Iberian"? Ainda não entendi porque tens várias.

[gixajo]

La B y la C son muy buenas para portugueses.

[gixajo]

É suposto ficarmos no fim só com uma sample "Western Iberian"? Ainda não entendi porque tens várias.

Hago diferentes mezclas y voy comprobando, os las ofrezco a todos para que las miréis y me opinéis cuales pueden ser más representativas del oeste peninsular. Son todas medias hechas con poblaciones del oeste.

Desde luego la B y la C son perfectas para Portugal, pero no sé hasta que punto lo son también para extremeños, gallegos, castellanoleoneses y sobre todo y más problemático, para andaluces occidentales.

Solo hay que hacer lo mismo que acabo de hacer con todas las muestras portuguesas y mirar a ver cuales funcionan mejor con cada región, pero lo haré mañana porque es tarde ya.

Si te aburres y te apetece puedes hacerlo tú.

Andalucía tiene tanto población occidental como oriental, y en sus muestras no vienen las provincias de donde salieron.

Puedo comparar lasmuestras con las muestras B y C, y las que menos distancias tengan deberían ser las de Andalucía occidental?

[gixajo]

É suposto ficarmos no fim só com uma sample "Western Iberian"? Ainda não entendi porque tens várias.

y una respuesta más a tú "por qué?", no quiero dar por sentado a priori, que lo que funcione bien para Portugal, funcione bien para todas y cada una de las regiones occidentales españolas. Igual para unas sí, para otras no tanto, unas muestras sí, otras no.O igual funcionan bien para todas, y ya está terminado el trabajo.

Me falta comparar lo que te dije, pero me voy ya a dormir.

[Defcon2]

Si queréis añadir más samples al Western_Iberia, o quitar alguno de los que haya, lo hacéis. Igual empiezo ya con el Eastern_Iberia.

Y ya pongo mis resultados con esas 5 sources, mis distancias no son muy buenas, pero me suelen salir siempre más cercanas las del este de la península, no sé porqué.

Target: gixajo_scaled
Distance: 2.5251% / 0.02525063
83.6 Western_Iberia_B
16.4 Western_Iberia_A

Distance to: gixajo_scaled
0.02621524 Western_Iberia_B
0.02876167 Western_Iberia_B
0.03332080 Western_Iberia_C
0.03374539 Western_Iberia_D
0.04430426 Western_Iberia_A

Por que tienen menos adn moruno y más whg/estepa.

[Rocinante]

Por fin algo aceptable, ya era hora, está basada en (3 veces esta muestra galega Spanish_Galicia:HG01685+X muestras secretas)

A ver, yo ya llevo 3 samples de Western_Iberia, mezclando galegos, portugueses , castellanoleoneses y extremeños, pero tienen que venir portugueses para probarlas, por ahora solo las ha probado uno aquí, y solo una de las tres da distancias menores de 3.


Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_B,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_D,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936

Voy a probar con el datasheet de muestras individuales a ver si mejoran las distancias.

Pues mi lado asturiano es muy gallego, asi que x3 gallego esta bien, mas el italiano. Ahora pruebo las muestras que hiciste, que estoy en la laptop de mi novia con el LoL.


A tí no te parece llamativo que los africanos del noroeste obtengan hasta un 40% de EEF? la gente se vuelve loca debido a que los españoles obtenemos entre un ~5-10% de Iberomaurusia creando 20 hilos cada día sobre ello, pero ni una palabra del EEF en norteafricanos.

Vecinos como los libios obtienen mucho menos.

Es sumamente curioso, de hecho, el EEF, WHG y STEPPE que ellos sacan le es suficiente para que en calculadoras modernas les dispare un % de iberico considerable, alrededor del 30%, por ejemplo Axios, Nassbean sacan como 30% de iberico, siendo 100% marroquies del norte, y creo que Adamm tambien, y ojito, con haplogrupo E1b y clados comunes en Iberia, porque me lo puse a investigar el otro dia, o sea, para mi que mas influyo la invasion iberi


2/8 SSA, 3/8 amerindio y 3/8 europeo. Joder con nuestro amigo trirracial.

Target: KonanxB
Distance: 1.6303% / 0.01630289
40.0 BRA_LapaDoSanto_9600BP
24.2 SSA
18.0 Anatolia_Barcin_N
12.4 Yamnaya_RUS_Samara
4.0 WHG
1.4 MAR_Taforalt


KonanxB,-0.09254261,-0.0509159,0.0659207,0.04868635,-0.027171,-0.0014231,-0.12345828,-0.13767225,-0.00771363,0.00669539,0.00049986,0.00026511,-0.00298673,0.00751641,0.00282809,0.00156405,0.0036 758,0.0085559,-0.00334214,0.00008121,-0.00172658,0.00386169,-0.00167263,-0.00012724,-0.0026443

Jajajaja, el dira que esa pequeña parte europea es toda esteparia, y por eso es mas blanco que nosotros los EEFs. Joder con nuestro amigo trirracial... Siempre he querido ver los resultados de CV y Duffmannn, ahora los que mas quiero ver son los de este tipo, porque los españoles mencionados seria algo raro que saquen una sorpresa mayuscula, pero este seria una caja de Pandora, literal xD

[Rocinante]

Por fin algo aceptable, ya era hora, está basada en (3 veces esta muestra galega Spanish_Galicia:HG01685+X muestras secretas)

A ver, yo ya llevo 3 samples de Western_Iberia, mezclando galegos, portugueses , castellanoleoneses y extremeños, pero tienen que venir portugueses para probarlas, por ahora solo las ha probado uno aquí, y solo una de las tres da distancias menores de 3.


Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_B,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_D,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936

Voy a probar con el datasheet de muestras individuales a ver si mejoran las distancias.

Pues mi lado asturiano es muy gallego, asi que x3 gallego esta bien, mas el italiano. Ahora pruebo las muestras que hiciste, que estoy en la laptop de mi novia con el LoL.


A tí no te parece llamativo que los africanos del noroeste obtengan hasta un 40% de EEF? la gente se vuelve loca debido a que los españoles obtenemos entre un ~5-10% de Iberomaurusia creando 20 hilos cada día sobre ello, pero ni una palabra del EEF en norteafricanos.

Vecinos como los libios obtienen mucho menos.

Es sumamente curioso, de hecho, el EEF, WHG y STEPPE que ellos sacan le es suficiente para que en calculadoras modernas les dispare un % de iberico considerable, alrededor del 30%, por ejemplo Axios, Nassbean sacan como 30% de iberico, siendo 100% marroquies del norte, y creo que Adamm tambien, y ojito, con haplogrupo E1b y clados comunes en Iberia, porque me lo puse a investigar el otro dia, o sea, para mi que mas influyo la invasion iberi


2/8 SSA, 3/8 amerindio y 3/8 europeo. Joder con nuestro amigo trirracial.

Target: KonanxB
Distance: 1.6303% / 0.01630289
40.0 BRA_LapaDoSanto_9600BP
24.2 SSA
18.0 Anatolia_Barcin_N
12.4 Yamnaya_RUS_Samara
4.0 WHG
1.4 MAR_Taforalt


KonanxB,-0.09254261,-0.0509159,0.0659207,0.04868635,-0.027171,-0.0014231,-0.12345828,-0.13767225,-0.00771363,0.00669539,0.00049986,0.00026511,-0.00298673,0.00751641,0.00282809,0.00156405,0.0036 758,0.0085559,-0.00334214,0.00008121,-0.00172658,0.00386169,-0.00167263,-0.00012724,-0.0026443

Jajajaja, el dira que esa pequeña parte europea es toda esteparia, y por eso es mas blanco que nosotros los EEFs. Joder con nuestro amigo trirracial... Siempre he querido ver los resultados de CV y Duffmannn, ahora los que mas quiero ver son los de este tipo, porque los españoles mencionados seria algo raro que saquen una sorpresa mayuscula, pero este seria una caja de Pandora, literal xD

[Defcon2]

É suposto ficarmos no fim só com uma sample "Western Iberian"? Ainda não entendi porque tens várias.

La media de Portugal con +10 muestras portuguesas de mi cosecha, pongo la oficial para comparar también.


Portugal_Ultimate,0.10491229,0.1446694,0.03606354,-0.0036822,0.04197691,-0.00343431,-0.0041562,0.00303937,0.025209,0.0294806,-0.00129909,0.00689394,-0.01227091,-0.0120794,0.01173009,-0.00078417,-0.00241017,-0.00079277,-0.0049274,-0.00110409,0.00114794,-0.00272034,0.00112334,-0.00182806,-0.00061237
Portuguese,0.1061741,0.1446114,0.0360075,-0.0044316,0.042137,-0.0040494,-0.0037412,0.0027598,0.0255982,0.029741,-0.000734,0.0074214,-0.0127373,-0.0112631,0.0125568,-0.0003978,-0.0011316,-0.0008869,-0.005762,-0.0002452,0.0011379,-0.002572,0.0013015,-0.0011326,-0.0001053

[gixajo]

Mis dos primeros samples de Eastern_Iberia, uno es buenísimo y otro es malísimo ;)

Sin embargo, haciendo llenando las sources con muestras catalanas, valencianas, de Baleares Murxia y Aragón, para representar poblaciones del Este, y portuguesas, extremeñas y gallegas para el oeste, sale esto:

Distance to: East_Iberia_A
0.05140516 Spanish_Aragon:HG01676
0.05404987 Spanish_Catalunya_Central:SOL083
0.05585199 Spanish_Castello:CAR200
0.05780964 Spanish_Castello:FER033
0.05781067 Spanish_Lleida:FOR066
0.05832404 Spanish_Catalunya_Central:CAR048
0.05880921 Spanish_Cataluna:HG01761
0.05928934 Spanish_Eivissa:EIV015_2
0.05939999 Spanish_Lleida:ROS005
0.05981708 Spanish_Camp_de_Tarragona:GRA035
0.06017495 Spanish_Lleida:MST075
0.06018952 Spanish_Barcelones:COD147
0.06054410 Spanish_Camp_de_Tarragona:FER039
0.06067731 Spanish_Camp_de_Tarragona:GUS202
0.06096717 Spanish_Cataluna:HG01536
0.06174997 Spanish_Baleares:HG01625
0.06175204 Spanish_Catalunya_Central:VID057
0.06205079 Spanish_Barcelones:GUS040
0.06235658 Spanish_Galicia:GAL74
0.06236200 Spanish_Catalunya_Central:MAS003
0.06256113 Spanish_Camp_de_Tarragona:GRA011
0.06268225 Spanish_Barcelones:GUS119
0.06288526 Spanish_Barcelones:VID014
0.06297736 Spanish_Catalunya_Central:SOL051
0.06314149 Spanish_Lleida:GUS014

Distance to: East_Iberia_B
0.01351677 Spanish_Cataluna:HG01537
0.01508104 Spanish_Extremadura:HG01510
0.01545968 Spanish_Baleares:HG01615
0.01655698 Spanish_Camp_de_Tarragona:GRA011
0.01657925 Spanish_Aragon:HG01673
0.01784352 Spanish_Camp_de_Tarragona:FER039
0.01784645 Spanish_Baleares:HG01625
0.02021072 Spanish_Eivissa:EIV014_2
0.02021633 Spanish_Catalunya_Central:SOL051
0.02021767 Spanish_Mallorca:ALE339
0.02032550 Spanish_Eivissa:GUS199
0.02065959 Spanish_Eivissa:EIV012_2
0.02093602 Spanish_Eivissa:EIV013_2
0.02133791 Spanish_Aragon:HG01675
0.02138258 Spanish_Murcia:HG01618
0.02166724 Spanish_Menorca:GUS007
0.02167941 Spanish_Castello:SAB019
0.02206401 Spanish_Mallorca:ROI096
0.02225085 Portuguese:EBC_Portugal1
0.02268999 Portuguese:Portugal2
0.02277729 Spanish_Baleares:HG01613
0.02281153 Spanish_Castello:ALB231
0.02313356 Spanish_Castello:BOS027
0.02316943 Spanish_Galicia:GAL11
0.02318275 Spanish_Menorca:FER054


La que peores distancias tiene, discrimina mejor Este-Oeste, y a la que tiene distancias buenísimas se le cuelan samples del oeste. Son un poco outliers? Qué hago?

las coordenadas son estas:


East_Iberia_B,0.116763,0.145573,0.040169,-0.000895,0.043895,-0.001604,-0.001487,0.000867,0.022104,0.030804,-0.002591,0.006740,-0.014299,-0.011302,0.007289,0.000120,-0.000935,0.000312,-0.000230,-0.000542,0.004739,-0.000805,-0.001543,-0.002186,0.000788
East_Iberia_A,0.120007,0.145737,0.082263,-0.001316,0.089309,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381

[Rocinante]

Mis dos primeros samples de Eastern_Iberia, uno es buenísimo y otro es malísimo ;)

Sin embargo, haciendo llenando las sources con muestras catalanas, valencianas, de Baleares Murxia y Aragón, para representar poblaciones del Este, y portuguesas, extremeñas y gallegas para el oeste, sale esto:

Distance to: East_Iberia_A
0.05140516 Spanish_Aragon:HG01676
0.05404987 Spanish_Catalunya_Central:SOL083
0.05585199 Spanish_Castello:CAR200
0.05780964 Spanish_Castello:FER033
0.05781067 Spanish_Lleida:FOR066
0.05832404 Spanish_Catalunya_Central:CAR048
0.05880921 Spanish_Cataluna:HG01761
0.05928934 Spanish_Eivissa:EIV015_2
0.05939999 Spanish_Lleida:ROS005
0.05981708 Spanish_Camp_de_Tarragona:GRA035
0.06017495 Spanish_Lleida:MST075
0.06018952 Spanish_Barcelones:COD147
0.06054410 Spanish_Camp_de_Tarragona:FER039
0.06067731 Spanish_Camp_de_Tarragona:GUS202
0.06096717 Spanish_Cataluna:HG01536
0.06174997 Spanish_Baleares:HG01625
0.06175204 Spanish_Catalunya_Central:VID057
0.06205079 Spanish_Barcelones:GUS040
0.06235658 Spanish_Galicia:GAL74
0.06236200 Spanish_Catalunya_Central:MAS003
0.06256113 Spanish_Camp_de_Tarragona:GRA011
0.06268225 Spanish_Barcelones:GUS119
0.06288526 Spanish_Barcelones:VID014
0.06297736 Spanish_Catalunya_Central:SOL051
0.06314149 Spanish_Lleida:GUS014

Distance to: East_Iberia_B
0.01351677 Spanish_Cataluna:HG01537
0.01508104 Spanish_Extremadura:HG01510
0.01545968 Spanish_Baleares:HG01615
0.01655698 Spanish_Camp_de_Tarragona:GRA011
0.01657925 Spanish_Aragon:HG01673
0.01784352 Spanish_Camp_de_Tarragona:FER039
0.01784645 Spanish_Baleares:HG01625
0.02021072 Spanish_Eivissa:EIV014_2
0.02021633 Spanish_Catalunya_Central:SOL051
0.02021767 Spanish_Mallorca:ALE339
0.02032550 Spanish_Eivissa:GUS199
0.02065959 Spanish_Eivissa:EIV012_2
0.02093602 Spanish_Eivissa:EIV013_2
0.02133791 Spanish_Aragon:HG01675
0.02138258 Spanish_Murcia:HG01618
0.02166724 Spanish_Menorca:GUS007
0.02167941 Spanish_Castello:SAB019
0.02206401 Spanish_Mallorca:ROI096
0.02225085 Portuguese:EBC_Portugal1
0.02268999 Portuguese:Portugal2
0.02277729 Spanish_Baleares:HG01613
0.02281153 Spanish_Castello:ALB231
0.02313356 Spanish_Castello:BOS027
0.02316943 Spanish_Galicia:GAL11
0.02318275 Spanish_Menorca:FER054


La que peores distancias tiene, discrimina mejor Este-Oeste, y a la que tiene distancias buenísimas se le cuelan samples del oeste. Son un poco outliers? Qué hago?

las coordenadas son estas:


East_Iberia_B,0.116763,0.145573,0.040169,-0.000895,0.043895,-0.001604,-0.001487,0.000867,0.022104,0.030804,-0.002591,0.006740,-0.014299,-0.011302,0.007289,0.000120,-0.000935,0.000312,-0.000230,-0.000542,0.004739,-0.000805,-0.001543,-0.002186,0.000788
East_Iberia_A,0.120007,0.145737,0.082263,-0.001316,0.089309,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381

Los extremeños son de los que mas estepa tienen a nivel peninsular, superando los 32 puntos, si no mal recuerdo, asi que tiene sentido que se cuelen con los arios catalanes. Estais haciendo un trabajo estupendo, esto en anthrogenica seria una joya.

[Defcon2]

Mis dos primeros samples de Eastern_Iberia, uno es buenísimo y otro es malísimo ;)

Sin embargo, haciendo llenando las sources con muestras catalanas, valencianas, de Baleares Murxia y Aragón, para representar poblaciones del Este, y portuguesas, extremeñas y gallegas para el oeste, sale esto:

Distance to: East_Iberia_A
0.05140516 Spanish_Aragon:HG01676
0.05404987 Spanish_Catalunya_Central:SOL083
0.05585199 Spanish_Castello:CAR200
0.05780964 Spanish_Castello:FER033
0.05781067 Spanish_Lleida:FOR066
0.05832404 Spanish_Catalunya_Central:CAR048
0.05880921 Spanish_Cataluna:HG01761
0.05928934 Spanish_Eivissa:EIV015_2
0.05939999 Spanish_Lleida:ROS005
0.05981708 Spanish_Camp_de_Tarragona:GRA035
0.06017495 Spanish_Lleida:MST075
0.06018952 Spanish_Barcelones:COD147
0.06054410 Spanish_Camp_de_Tarragona:FER039
0.06067731 Spanish_Camp_de_Tarragona:GUS202
0.06096717 Spanish_Cataluna:HG01536
0.06174997 Spanish_Baleares:HG01625
0.06175204 Spanish_Catalunya_Central:VID057
0.06205079 Spanish_Barcelones:GUS040
0.06235658 Spanish_Galicia:GAL74
0.06236200 Spanish_Catalunya_Central:MAS003
0.06256113 Spanish_Camp_de_Tarragona:GRA011
0.06268225 Spanish_Barcelones:GUS119
0.06288526 Spanish_Barcelones:VID014
0.06297736 Spanish_Catalunya_Central:SOL051
0.06314149 Spanish_Lleida:GUS014

Distance to: East_Iberia_B
0.01351677 Spanish_Cataluna:HG01537
0.01508104 Spanish_Extremadura:HG01510
0.01545968 Spanish_Baleares:HG01615
0.01655698 Spanish_Camp_de_Tarragona:GRA011
0.01657925 Spanish_Aragon:HG01673
0.01784352 Spanish_Camp_de_Tarragona:FER039
0.01784645 Spanish_Baleares:HG01625
0.02021072 Spanish_Eivissa:EIV014_2
0.02021633 Spanish_Catalunya_Central:SOL051
0.02021767 Spanish_Mallorca:ALE339
0.02032550 Spanish_Eivissa:GUS199
0.02065959 Spanish_Eivissa:EIV012_2
0.02093602 Spanish_Eivissa:EIV013_2
0.02133791 Spanish_Aragon:HG01675
0.02138258 Spanish_Murcia:HG01618
0.02166724 Spanish_Menorca:GUS007
0.02167941 Spanish_Castello:SAB019
0.02206401 Spanish_Mallorca:ROI096
0.02225085 Portuguese:EBC_Portugal1
0.02268999 Portuguese:Portugal2
0.02277729 Spanish_Baleares:HG01613
0.02281153 Spanish_Castello:ALB231
0.02313356 Spanish_Castello:BOS027
0.02316943 Spanish_Galicia:GAL11
0.02318275 Spanish_Menorca:FER054


La que peores distancias tiene, discrimina mejor Este-Oeste, y a la que tiene distancias buenísimas se le cuelan samples del oeste. Son un poco outliers? Qué hago?

las coordenadas son estas:


East_Iberia_B,0.116763,0.145573,0.040169,-0.000895,0.043895,-0.001604,-0.001487,0.000867,0.022104,0.030804,-0.002591,0.006740,-0.014299,-0.011302,0.007289,0.000120,-0.000935,0.000312,-0.000230,-0.000542,0.004739,-0.000805,-0.001543,-0.002186,0.000788
East_Iberia_A,0.120007,0.145737,0.082263,-0.001316,0.089309,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381

Con las oficiales hay que dar un voto de fe dejándolas tal como están, tiene que haber variedad en los samples regionales para representar la diversidad.

[gixajo]

Osea, susto o muerte.

O buenas distancias que discriminen no muy bien o malas distancias que discriminan muy bien.

Podría mezclar las dos a ver si su mezcla hace las dos cosas medio bien/medio mal :D

Las malas distancias son averages valencianos y catalanes y las buenas son catalanes , valencianos, aragoneses, baleares y murcianos.

Tenía miedo de meter aragoneses, porque pueden dar problemas tanto con vascos como con occidentales, y menos miedo, pero algo también, con los murcianos.

[gixajo]

Con las oficiales hay que dar un voto de fe dejándolas tal como están, tiene que haber variedad en los samples regionales para representar la diversidad.

No entiendo que me quieres decir con eso.

Las mezclas las hago con averages de poblaciones , pero las compruebo con sources del datasheet de muestras individuales.Como son muestras individuales, igual las que se cuelan solo son outliers, no?

La prueba definitiva será cuando probemos todas las muestras oocidentales, orientales y vascas todas en una misma source, y hagamos pruebas quitando unas y otras hasta que veamos como interactúan unas con otras.

Lo bueno es que tenemos muchos foreros occidentales, pero ninguno realmente representativo vasco o claramente oriental.Podemos usar las muestras individuales del datasheet correspondiente con el problema de que todos los datasheets están basados en esas muestras individuales...

Para el Western Iberia las que yo ofrezco como candidatas estaban claras, las de menos distancias, pero esto que acabo de ver con las East Iberia, me crea dudas de cual tiene que ser el baremo para considerarlas buenas.

Pero bueno, tampoco somos profesionales, estamos usando como mac Gyver, bicarbonato y dos cerillas para hacer una bomba atómica.;)

[Defcon2]

No entiendo que me quieres decir con eso.

Las mezclas las hago con averages de poblaciones , pero las compruebo con sources del datasheet de muestras individuales.Como son muestras individuales, igual las que se cuelan solo son outliers, no?

La prueba definitiva será cuando probemos todas las muestras oocidentales, orientales y vascas todas en una misma source, y hagamos pruebas quitando unas y otras hasta que veamos como interactúan unas con otras.

Lo bueno es que tenemos muchos foreros occidentales, pero ninguno realmente representativo vasco o claramente oriental.Podemos usar las muestras individuales del datasheet correspondiente con el problema de que todos los datasheets están basados en esas muestras individuales...

Para el Western Iberia las que yo ofrezco como candidatas estaban claras, las de menos distancias, pero esto que acabo de ver con las East Iberia, me crea dudas de cual tiene que ser el baremo para considerarlas buenas.

Pero bueno, tampoco somos profesionales, estamos usando como mac Gyver, bicarbonato y dos cerillas para hacer una bomba atómica.;)

No son outliers, es normal que alguna muestra individual se solape con otras y para captar la variedad genética regional es necesario ponerlas. Si no mira a Spaniard que se solapa con los irlandeses pero es español. ¿Dónde le pondrías a él?

Basarse solo en distancias no me parece muy idóneo.

[gixajo]

Yo voy comentando aquí los métodos y lso problemas que me voy encontrando, por si alguno de vosotros ve clara la solución y por si os encontráis los mismos problemas y dudas que yo.

Pensaba hacer todo por mi cuenta y publicar mis samples finales cuando estuvieran terminados, pero creo que exponer el proceso en todos sus pasos es incluso más interesante que simplemente poner unos samples ya terminados. Así aprendemos todos, especialmente yo.

Hacer medias de todas las poblaciones X creo que es un poco perder el tiempo, porque mi idea es que lso average son precisamente las medias de las muestras individuales, osea que ya está hecho, y si hay diferencias entre unas y otras, se debe a que los datasheet de unos y otros están desacompasados en la actualización. Igual estoy equivocado, pero es la impresión que me da.

Por eso tiendo a usar averages generales, y no las muestras individuales. Aunque a veces, sobre todo al principio, también las usaba.

No sé que pensáis sobre esto.

Luego sigo, voy a comer.

[gixajo]

No son outliers, es normal que alguna muestra individual se solape con otras y para captar la variedad genética regional es necesario ponerlas. Si no mira a Spaniard que se solapa con los irlandeses pero es español. ¿Dónde le pondrías a él?

Basarse solo en distancias no me parece muy idóneo.

Ya, estictamente no es un outlier, usé esa expresión como sinónimo de que se escapa de la norma.En la península, aún siendo individuos nativos hay diversidad en cada zona, y es fácil que hasta en extremos de ella, haya individuos que se solapen en sus genéticas.

[Defcon2]

Ya, estictamente no es un outlier, usé esa expresión como sinónimo de que se escapa de la norma.En la península, aún siendo individuos nativos hay diversidad en cada zona, y es fácil que hasta en extremos de ella, haya individuos que se solapen en sus genéticas.

Estoy seguro que con la cantidad de muestras que hay del este ibérico se puede representar gran parte de la variedad de toda la peninsula, eso también ayuda a los occidentales a solaparse.

[gixajo]

Estoy seguro que con la cantidad de muestras que hay del este ibérico se puede representar gran parte de la variedad de toda la peninsula, eso también ayuda a los occidentales a solaparse.

Se supone que las muestras antes de ponerse en los datasheet son seleccionadas para representar lo más fielmente a la población original y nativa de cada lugar, por supuesto que hay variaciones, pero en teoría deberíamos ser capaces de poder diferenciar al menos dos samples extremos de población occidental y oriental de la península que nos permitan discriminar estos dos orígenes aproximadamente.

Al menos cabría esperar que hubieran sido hasta cierto punto rigurosos al hacer los datasheet con samples así seleccionados. Poniéndome a mí de ejemplo, aunque haya nacido en el País Vasco, yo no soy representativo como vasco, siendo realista mi adn podría ser medianamente representativo de alguna zona periférica a la región vasca.


Hemos visto todos como en teoría, las diferencias genéticas de la península son mayores entre Este-Oeste, aunque con muchos matices y especificidades, esa generalidad debería manifestarse de algún modo en los g25.

Obviamente lo más fácil de discriminar es el componente vasco, con ese no deberíamos tener problemas, aunque haya poblaciones que puedan interferir con él, como muchas regiones que rodean esa región. pero basta con no incluir al hacer nuestros samples Western y Eastern ningún sample cercano al País Vasco es relativamente fácil de aislar.

O no, ya veremos.:rolleyes:

Estaba pensando que igual la influencia vasca podría ser un elemento diferenciador para discriminar la genética Este-Oeste ? Se me acaba de ocurrir ahora...¿Qué pensáis?

Ya siento el coñazo que estoy dando...:picard2:

[gixajo]

Por cierto, recibí respuesta de MH al email que envié :



S**** (MyHeritage)
June 1, 2020 3:39 PM (UTC+03:00)
Dear Mr. *****,

Thank you for contacting us. My name is S****i, and I'd be happy to assist you.

I understand that you sent DNA samples MH****** & MH****** to the lab on April 30th, and you haven't heard from the lab.

We have a 6-week policy. Meaning that it can take up to 6 weeks since sending your samples to the laboratory until it is scanned.

Let's give it one more week. If you don't hear from the lab in one week's time then it would appear that your DNA kits have most likely been lost in transit. Issues such as these can be extremely frustrating and I apologize for the inconvenience. MyHeritage has very little control over how the postal service delivers your kit, and in some cases, items may be lost or delayed for various reasons.

In any case, if you do not hear from the lab in a week's time, please reply back to this email verifying your shipping address as I would like to arrange for two free replacement kits to be sent out to you.

Your full name:
Street name:
Apartment/house number:
City:
County/State:
Postcode:
Phone number:

Thank you for your patience.
If you have any further questions, please feel free to reply to this email and I'll get back to you as soon as possible.
Wishing you a lovely week.

Kind regards,
S****i
MyHeritage Support Team

[gixajo]

Bueno, éstas son los samples que hice:


Basque_A,0.129400,0.151363,0.056592,0.009969,0.055 369,0.001684,-0.001497,0.002219,0.029901,0.042217,-0.006567,0.010430,-0.021605,-0.014950,0.016526,-0.000228,-0.010023,0.002891,-0.000104,-0.003690,0.008894,0.000847,-0.007353,-0.008318,0.004371
Basque_B,0.129980,0.151218,0.056729,0.010916,0.056 997,0.001317,-0.002363,0.001867,0.030979,0.043402,-0.006901,0.010974,-0.021877,-0.016393,0.015582,0.000896,-0.008863,0.002900,-0.001266,-0.002242,0.009474,0.002486,-0.007764,-0.009103,0.004721
Western_Iberia_A,0.105635,0.147286,0.034534,-0.002808,0.083067,-0.003419,-0.003868,0.011839,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666
Western_Iberia_B,0.1059749,0.14389121,0.03570005,-0.00442911,0.0411317,-0.00399821,-0.00373312,0.0027618,0.0249777,0.0283415,-0.0007001,0.00755231,-0.01198001,-0.0111856,0.0124442,-0.0004008,-0.00113155,-0.000910169,-0.0058101,-0.000245201,0.00113802,-0.00256878,0.00130049,-0.00113333,-0.00009061
Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_D,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_E,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936
East_Iberia_B,0.116763,0.145573,0.040169,-0.000895,0.043895,-0.001604,-0.001487,0.000867,0.022104,0.030804,-0.002591,0.006740,-0.014299,-0.011302,0.007289,0.000120,-0.000935,0.000312,-0.000230,-0.000542,0.004739,-0.000805,-0.001543,-0.002186,0.000788
East_Iberia_A,0.120007,0.145737,0.082263,-0.001316,0.089309,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381
East_Iberia_C,0.116199,0.1470133,0.042622,-0.0028219,0.0400251,-0.0022293,-0.00053853,0.002461301,0.0193323,0.02958292,-0.0046045,0.0081411,-0.0148759,-0.01261152,0.0044135,0.0023003,0.0020513,0.0010494 7,0.00114143,-0.0044522,0.0004899,0.0006302,0.00123331,0.0003216 88,-0.00412023

He probado con diferentes muestras y salen estas distancias:

Eastern:
Distance to: Spanish_Lleida
0.00941752 East_Iberia_B
0.01491038 East_Iberia_C
0.02373610 Western_Iberia_B
0.02691974 Western_Iberia_D
0.03052022 Western_Iberia_E
0.03163797 Basque_A
0.03202595 Western_Iberia_C
0.03353416 Basque_B
0.04642772 Western_Iberia_A
0.06066749 East_Iberia_A

Distance to: Spanish_Girona
0.01116991 East_Iberia_B
0.01130148 East_Iberia_C
0.02331176 Western_Iberia_B
0.02687795 Western_Iberia_D
0.02954441 Western_Iberia_E
0.03357175 Western_Iberia_C
0.03642537 Basque_A
0.03831498 Basque_B
0.04855111 Western_Iberia_A
0.06430813 East_Iberia_A

Distance to: Spanish_Valencia
0.00779094 East_Iberia_B
0.01767512 East_Iberia_C
0.01883999 Western_Iberia_B
0.02069110 Western_Iberia_D
0.02556653 Western_Iberia_E
0.02585434 Western_Iberia_C
0.03198599 Basque_A
0.03384954 Basque_B
0.04183555 Western_Iberia_A
0.05982125 East_Iberia_A

Distance to: Spanish_Baleares
0.00223491 East_Iberia_C
0.01171303 East_Iberia_B
0.01997956 Western_Iberia_B
0.02407843 Western_Iberia_D
0.02758723 Western_Iberia_E
0.03124550 Western_Iberia_C
0.04232371 Basque_A
0.04420709 Basque_B
0.04782465 Western_Iberia_A
0.06590279 East_Iberia_A


Western:

Distance to: Spanish_Castilla_Y_Leon
0.01193487 Western_Iberia_D
0.01360119 Western_Iberia_B
0.01804285 Western_Iberia_C
0.01818413 East_Iberia_B
0.02223615 East_Iberia_C
0.02265828 Western_Iberia_E
0.04139337 Basque_A
0.04260967 Western_Iberia_A
0.04356889 Basque_B
0.06462447 East_Iberia_A

Distance to: Portuguese
0.00215020 Western_Iberia_B
0.01194192 Western_Iberia_D
0.01632717 East_Iberia_B
0.01694605 Western_Iberia_E
0.02033838 East_Iberia_C
0.02114406 Western_Iberia_C
0.04229840 Western_Iberia_A
0.04593788 Basque_A
0.04771698 Basque_B
0.06872349 East_Iberia_A

Distance to: Spanish_Galicia
0.01034111 Western_Iberia_B
0.01235382 Western_Iberia_D
0.01356108 East_Iberia_B
0.01860973 East_Iberia_C
0.01862241 Western_Iberia_E
0.02016102 Western_Iberia_C
0.04029513 Basque_A
0.04224250 Basque_B
0.04389929 Western_Iberia_A
0.06526292 East_Iberia_A

Distance to: Spanish_Extremadura
0.01217416 Western_Iberia_B
0.01232352 Western_Iberia_E
0.01411489 Western_Iberia_D
0.01831104 East_Iberia_B
0.02301056 East_Iberia_C
0.02358608 Western_Iberia_C
0.04440494 Western_Iberia_A
0.04735291 Basque_A
0.04889178 Basque_B
0.07198336 East_Iberia_A



Basque

Distance to: Spanish_Cantabria
0.01641212 East_Iberia_B
0.02024273 East_Iberia_C
0.02617353 Western_Iberia_B
0.02725076 Western_Iberia_D
0.02741821 Basque_A
0.02875523 Basque_B
0.02967364 Western_Iberia_E
0.03401700 Western_Iberia_C
0.04489843 Western_Iberia_A
0.05884097 East_Iberia_A

Distance to: Spanish_La_Rioja
0.03050839 East_Iberia_B
0.03280977 East_Iberia_C
0.03862719 Western_Iberia_B
0.03868322 Basque_B
0.03908129 Basque_A
0.04384741 Western_Iberia_E
0.04406935 Western_Iberia_D
0.04663041 Western_Iberia_A
0.04991557 Western_Iberia_C
0.05813044 East_Iberia_A

Distance to: Spanish_Navarra
0.01994365 East_Iberia_B
0.02565707 Basque_A
0.02626282 East_Iberia_C
0.02711916 Basque_B
0.02784291 Western_Iberia_B
0.02834226 Western_Iberia_D
0.03132992 Western_Iberia_E
0.03457069 Western_Iberia_C
0.04509970 Western_Iberia_A
0.05808274 East_Iberia_A

Distance to: Spanish_Pais_Vasco
0.00915077 Basque_A
0.01372674 Basque_B
0.03396780 East_Iberia_B
0.03907776 East_Iberia_C
0.04301052 Western_Iberia_D
0.04469127 Western_Iberia_C
0.04476237 Western_Iberia_B
0.04883642 Western_Iberia_E
0.05154616 East_Iberia_A
0.05360491 Western_Iberia_A


Yo creo que está bastante bien.Se puede quitar algún sample que no aporta nada a nadie, pero igual si se quita se descompensa todo.

¿Qué os parece?

[gixajo]

Con según que sample individual, no funcionan tan bien esas sources, pero en general funcionan.

No tan bien como con los pop averages, porque obviamente la mayoría de los samples que usé para las medias, son de esa datasheet...

Probaré con mis coordenadas a ver que me da, debería darme algo similar a Cantabria/Aragón.

[gixajo]

Me gusta lo que veo.:)

Tiene sentido, ¿No?

Target: gixajo_scaled
Distance: 1.6559% / 0.01655887
44.6 Western_Iberia_B
25.4 Basque_B
15.2 East_Iberia_C
12.6 Basque_A
2.2 Western_Iberia_A

Distance to: gixajo_scaled
0.02028559 East_Iberia_B
0.02509074 East_Iberia_C
0.02621524 Western_Iberia_B
0.02876167 Western_Iberia_D
0.03186997 Basque_A
0.03332080 Western_Iberia_C
0.03341608 Basque_B
0.03374539 Western_Iberia_E
0.04430426 Western_Iberia_A
0.06041427 East_Iberia_A



Hala, yo ya terminé mis samples. Ahí queda eso, usadlos para cambiarlos o añadirles nuevos o como queráis.

El 90% de los posts de las últimas páginas son todos míos, me da hasta vergüenza, parezco Asperger con monotema.

[mitalit]

Target: Xabier_scaled
Distance: 2.6268% / 0.02626830
53.4 East_Iberia_C
29.2 Western_Iberia_B
17.2 East_Iberia_B
0.2 East_Iberia_A

[Defcon2]

Me gusta lo que veo.:)

Tiene sentido, ¿No?

Target: gixajo_scaled
Distance: 1.6559% / 0.01655887
44.6 Western_Iberia_B
25.4 Basque_B
15.2 East_Iberia_C
12.6 Basque_A
2.2 Western_Iberia_A

Distance to: gixajo_scaled
0.02028559 East_Iberia_B
0.02509074 East_Iberia_C
0.02621524 Western_Iberia_B
0.02876167 Western_Iberia_D
0.03186997 Basque_A
0.03332080 Western_Iberia_C
0.03341608 Basque_B
0.03374539 Western_Iberia_E
0.04430426 Western_Iberia_A
0.06041427 East_Iberia_A



Hala, yo ya terminé mis samples. Ahí queda eso, usadlos para cambiarlos o añadirles nuevos o como queráis.

El 90% de los posts de las últimas páginas son todos míos, me da hasta vergüenza, parezco Asperger con monotema.

Target: Juan_scaled
Distance: 2.6026% / 0.02602564
47.2 Western_Iberia_D
36.0 Western_Iberia_E
10.8 Western_Iberia_A
6.0 Western_Iberia_C

Distance to: Juan_scaled
0.02693757 Western_Iberia_D
0.02814198 Western_Iberia_E
0.03210017 Western_Iberia_C
0.03305533 Western_Iberia_B
0.03574008 East_Iberia_B
0.03802339 East_Iberia_C
0.04912878 Western_Iberia_A
0.05499325 Basque_A
0.05662888 Basque_B
0.07494868 East_Iberia_A

[gixajo]

Target: Juan_scaled



[B]Target: Xabier_scaled


¿Cómo las véis por ahora?

¿Alguna sugerencia o consejo?

¿Tiran mucho al oeste o vuestros resultados son razonables?

¿Estáis haciendo samples como locos y por eso no decís nada?

[mitalit]

En mi caso mucho al este

[Defcon2]

¿Cómo las véis por ahora?

¿Alguna sugerencia o consejo?

¿Tiran mucho al oeste o vuestros resultados son razonables?

¿Estáis haciendo samples como locos y por eso no decís nada?

De qué se compone East_Iberia_A? está lejos en todas las medias.

[Damião de Góis]

La media de Portugal con +10 muestras portuguesas de mi cosecha, pongo la oficial para comparar también.


Portugal_Ultimate,0.10491229,0.1446694,0.03606354,-0.0036822,0.04197691,-0.00343431,-0.0041562,0.00303937,0.025209,0.0294806,-0.00129909,0.00689394,-0.01227091,-0.0120794,0.01173009,-0.00078417,-0.00241017,-0.00079277,-0.0049274,-0.00110409,0.00114794,-0.00272034,0.00112334,-0.00182806,-0.00061237
Portuguese,0.1061741,0.1446114,0.0360075,-0.0044316,0.042137,-0.0040494,-0.0037412,0.0027598,0.0255982,0.029741,-0.000734,0.0074214,-0.0127373,-0.0112631,0.0125568,-0.0003978,-0.0011316,-0.0008869,-0.005762,-0.0002452,0.0011379,-0.002572,0.0013015,-0.0011326,-0.0001053

Distance to: Gil_Vicente
0.02400016 Portugal_Ultimate
0.02597823 Portuguese



Bueno, éstas son los samples que hice:


Basque_A,0.129400,0.151363,0.056592,0.009969,0.055 369,0.001684,-0.001497,0.002219,0.029901,0.042217,-0.006567,0.010430,-0.021605,-0.014950,0.016526,-0.000228,-0.010023,0.002891,-0.000104,-0.003690,0.008894,0.000847,-0.007353,-0.008318,0.004371
Basque_B,0.129980,0.151218,0.056729,0.010916,0.056 997,0.001317,-0.002363,0.001867,0.030979,0.043402,-0.006901,0.010974,-0.021877,-0.016393,0.015582,0.000896,-0.008863,0.002900,-0.001266,-0.002242,0.009474,0.002486,-0.007764,-0.009103,0.004721
Western_Iberia_A,0.105635,0.147286,0.034534,-0.002808,0.083067,-0.003419,-0.003868,0.011839,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666
Western_Iberia_B,0.1059749,0.14389121,0.03570005,-0.00442911,0.0411317,-0.00399821,-0.00373312,0.0027618,0.0249777,0.0283415,-0.0007001,0.00755231,-0.01198001,-0.0111856,0.0124442,-0.0004008,-0.00113155,-0.000910169,-0.0058101,-0.000245201,0.00113802,-0.00256878,0.00130049,-0.00113333,-0.00009061
Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_D,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_E,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936
East_Iberia_B,0.116763,0.145573,0.040169,-0.000895,0.043895,-0.001604,-0.001487,0.000867,0.022104,0.030804,-0.002591,0.006740,-0.014299,-0.011302,0.007289,0.000120,-0.000935,0.000312,-0.000230,-0.000542,0.004739,-0.000805,-0.001543,-0.002186,0.000788
East_Iberia_A,0.120007,0.145737,0.082263,-0.001316,0.089309,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381
East_Iberia_C,0.116199,0.1470133,0.042622,-0.0028219,0.0400251,-0.0022293,-0.00053853,0.002461301,0.0193323,0.02958292,-0.0046045,0.0081411,-0.0148759,-0.01261152,0.0044135,0.0023003,0.0020513,0.0010494 7,0.00114143,-0.0044522,0.0004899,0.0006302,0.00123331,0.0003216 88,-0.00412023



Distance to: Gil_Vicente
0.02045359 Western_Iberia_D
0.02208195 Western_Iberia_C
0.02399141 Western_Iberia_E
0.02566567 Western_Iberia_B
0.02978024 East_Iberia_B
0.03276361 East_Iberia_C
0.04887581 Western_Iberia_A
0.05132245 Basque_A
0.05362066 Basque_B
0.07489367 East_Iberia_A

Target: Gil_Vicente
Distance: 1.8732% / 0.01873242
54.6 Western_Iberia_C
41.8 Western_Iberia_E
3.6 Western_Iberia_A


Para mim as distâncias estão melhores do que as que tenho na datasheet actual do eurogenes:

Distance to: Gil_Vicente
0.02256008 Spanish_Andalucia
0.02488614 Spanish_Extremadura
0.02507821 Spanish_Galicia
0.02589305 Spanish_Alacant
0.02597823 Portuguese
0.02627439 Spanish_Castilla_Y_Leon

[gixajo]

Nueva de East iberian, para compensar:


Eastern_Iberia_D,0.118623,0.146511,0.040830,-0.000864,0.044471,-0.001771,-0.001364,0.001725,0.022721,0.032378,-0.002682,0.006962,-0.014377,-0.011684,0.007179,-0.000780,-0.001410,0.000075,-0.001211,-0.000411,0.003582,-0.000496,-0.002138,-0.003820,0.001196

[gixajo]

Creo que en 0.25X funciona mejor:


Basque_A,0.129400,0.151363,0.056592,0.009969,0.055 369,0.001684,-0.001497,0.002219,0.029901,0.042217,-0.006567,0.010430,-0.021605,-0.014950,0.016526,-0.000228,-0.010023,0.002891,-0.000104,-0.003690,0.008894,0.000847,-0.007353,-0.008318,0.004371
Basque_B,0.129980,0.151218,0.056729,0.010916,0.056 997,0.001317,-0.002363,0.001867,0.030979,0.043402,-0.006901,0.010974,-0.021877,-0.016393,0.015582,0.000896,-0.008863,0.002900,-0.001266,-0.002242,0.009474,0.002486,-0.007764,-0.009103,0.004721
Western_Iberia_A,0.105635,0.147286,0.034534,-0.002808,0.083067,-0.003419,-0.003868,0.011839,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666
Western_Iberia_B,0.1059749,0.14389121,0.03570005,-0.00442911,0.0411317,-0.00399821,-0.00373312,0.0027618,0.0249777,0.0283415,-0.0007001,0.00755231,-0.01198001,-0.0111856,0.0124442,-0.0004008,-0.00113155,-0.000910169,-0.0058101,-0.000245201,0.00113802,-0.00256878,0.00130049,-0.00113333,-0.00009061
Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_D,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_E,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936
Eastern_Iberia_B,0.116763,0.145573,0.040169,-0.000895,0.043895,-0.001604,-0.001487,0.000867,0.022104,0.030804,-0.002591,0.006740,-0.014299,-0.011302,0.007289,0.000120,-0.000935,0.000312,-0.000230,-0.000542,0.004739,-0.000805,-0.001543,-0.002186,0.000788
Eastern_Iberia_A,0.120007,0.145737,0.082263,-0.001316,0.089309,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381
Eastern_Iberia_C,0.116199,0.1470133,0.042622,-0.0028219,0.0400251,-0.0022293,-0.00053853,0.002461301,0.0193323,0.02958292,-0.0046045,0.0081411,-0.0148759,-0.01261152,0.0044135,0.0023003,0.0020513,0.0010494 7,0.00114143,-0.0044522,0.0004899,0.0006302,0.00123331,0.0003216 88,-0.00412023
Eastern_Iberia_D,0.118623,0.146511,0.040830,-0.000864,0.044471,-0.001771,-0.001364,0.001725,0.022721,0.032378,-0.002682,0.006962,-0.014377,-0.011684,0.007179,-0.000780,-0.001410,0.000075,-0.001211,-0.000411,0.003582,-0.000496,-0.002138,-0.003820,0.001196

Target: gixajo_scaled
Distance: 1.6402% / 0.01640228 | ADC: 0.25x
48.4 Iberian:Eastern_Iberia_D
24.2 Iberian:Western_Iberia_B
20.2 Iberian:Basque_A
6.0 Iberian:Basque_B
1.2 Iberian:Western_Iberia_A

Target: gixajo_scaled
Distance: 1.6335% / 0.01633540
36.0 Iberian:Eastern_Iberia_D
32.0 Iberian:Western_Iberia_B
15.6 Iberian:Basque_B
14.4 Iberian:Basque_A
2.0 Iberian:Western_Iberia_A

[Defcon2]

No soy del oeste, esto se equivoca.

Target: Juan_scaled
Distance: 2.6026% / 0.02602564
47.2 Western_Iberia_D
36.0 Western_Iberia_E
10.8 Western_Iberia_A
6.0 Western_Iberia_C

Distance to: Juan_scaled
0.02693757 Western_Iberia_D
0.02814198 Western_Iberia_E
0.03210017 Western_Iberia_C
0.03305533 Western_Iberia_B
0.03574008 Eastern_Iberia_B
0.03635971 Eastern_Iberia_D
0.03802339 Eastern_Iberia_C
0.04912878 Western_Iberia_A
0.05499325 Basque_A
0.05662888 Basque_B
0.07494868 Eastern_Iberia_A

Otras medias:


Cataluña,0.12077928,0.14707664,0.04290777,0.002366 25,0.04438687,0.0001284,-0.00038494,0.00249616,0.02112285,0.03031871,-0.00189737,0.00757058,-0.01494542,-0.01224015,0.00818586,0.00116473,-0.00122812,0.00020602,-0.00021286,-0.00129585,0.00355161,-0.00018646,-0.0022193,-0.00277015,0.00019819
Iberia_Occidental,0.1077212,0.14586343,0.03865823,-0.00203468,0.04417193,-0.0030299,-0.00402187,0.0030634,0.02568488,0.03045303,-0.00198198,0.00690193,-0.01338008,-0.01136302,0.01135753,-0.00327203,-0.0060965,-0.00131768,-0.00523415,-0.00102267,0.00236928,-0.00307972,-0.00054072,-0.00236073,0.00137203
Vasco,0.12536365,0.14761855,0.052205,0.00597998,0. 05149248,0.00064698,-0.0023076,0.00015073,0.02617888,0.0403983,-0.0064707,0.01095693,-0.01912345,-0.01767323,0.01585293,0.00464983,-0.0033321,0.00095703,-0.0015381,-0.00247163,0.00521818,0.00029703,-0.0060305,-0.00541233,0.00214718
Iberia_Oriental,0.11683327,0.1465569,0.04020671,-0.00102679,0.0434405,-0.00227718,-0.00124485,0.00159748,0.02242915,0.03200014,-0.00343555,0.00777106,-0.01503472,-0.0117703,0.00794727,0.00062631,-0.00176263,0.00017622,-0.00143362,-0.0019189,0.00364306,0.00024555,-0.00207599,-0.00231641,-0.00038346

[gixajo]

De qué se compone East_Iberia_A? está lejos en todas las medias.

Es una de las más simples, igual es la que menos samples mezclados tiene : Spanish_Terres_de_l'Ebre +Spanish_Valencia del modern averages, igual me equivoqué en algo en alguno de los pasos que lo hago a mano. Intento centrarme, pero es difícil en esta casa, me puedo haber despistado y con no seleccionar un signo negativo al copiar y pegar, te puede cambiar bastante todo.

[gixajo]

No soy del oeste, esto se equivoca.

Target: Juan_scaled
Distance: 2.6026% / 0.02602564
47.2 Western_Iberia_D
36.0 Western_Iberia_E
10.8 Western_Iberia_A
6.0 Western_Iberia_C

Distance to: Juan_scaled
0.02693757 Western_Iberia_D
0.02814198 Western_Iberia_E
0.03210017 Western_Iberia_C
0.03305533 Western_Iberia_B
0.03574008 Eastern_Iberia_B
0.03635971 Eastern_Iberia_D
0.03802339 Eastern_Iberia_C
0.04912878 Western_Iberia_A
0.05499325 Basque_A
0.05662888 Basque_B
0.07494868 Eastern_Iberia_A

Otras medias:


Cataluña,0.12077928,0.14707664,0.04290777,0.002366 25,0.04438687,0.0001284,-0.00038494,0.00249616,0.02112285,0.03031871,-0.00189737,0.00757058,-0.01494542,-0.01224015,0.00818586,0.00116473,-0.00122812,0.00020602,-0.00021286,-0.00129585,0.00355161,-0.00018646,-0.0022193,-0.00277015,0.00019819
Iberia_Occidental,0.1077212,0.14586343,0.03865823,-0.00203468,0.04417193,-0.0030299,-0.00402187,0.0030634,0.02568488,0.03045303,-0.00198198,0.00690193,-0.01338008,-0.01136302,0.01135753,-0.00327203,-0.0060965,-0.00131768,-0.00523415,-0.00102267,0.00236928,-0.00307972,-0.00054072,-0.00236073,0.00137203
Vasco,0.12536365,0.14761855,0.052205,0.00597998,0. 05149248,0.00064698,-0.0023076,0.00015073,0.02617888,0.0403983,-0.0064707,0.01095693,-0.01912345,-0.01767323,0.01585293,0.00464983,-0.0033321,0.00095703,-0.0015381,-0.00247163,0.00521818,0.00029703,-0.0060305,-0.00541233,0.00214718
Iberia_Oriental,0.11683327,0.1465569,0.04020671,-0.00102679,0.0434405,-0.00227718,-0.00124485,0.00159748,0.02242915,0.03200014,-0.00343555,0.00777106,-0.01503472,-0.0117703,0.00794727,0.00062631,-0.00176263,0.00017622,-0.00143362,-0.0019189,0.00364306,0.00024555,-0.00207599,-0.00231641,-0.00038346


Muy mal?

[gixajo]

El Eastern Iberia A tiene al menos una coordenada mal, en vez de (C1+C2)/2 es C1+C2 , igual solo es esa.

[gixajo]

El Eastern Iberia A tiene al menos una coordenada mal, en vez de (C1+C2)/2 es C1+C2 , igual solo es esa.

[gixajo]

Esto es otra cosa defcon2:

Esta es la buena.


Easterm_Iberia_A2,0.120007,0.145737,0.041131,-0.001316,0.044655,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381

[Defcon2]

Esto es otra cosa defcon2:

Esta es la buena.


Easterm_Iberia_A2,0.120007,0.145737,0.041131,-0.001316,0.044655,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381

0.02693757 Western_Iberia_D
0.02814198 Western_Iberia_E
0.03210017 Western_Iberia_C
0.03305533 Western_Iberia_B
0.03574008 Eastern_Iberia_B
0.03635971 Eastern_Iberia_D
0.03702633 Eastern_Iberia_A2
0.03802339 Eastern_Iberia_C
0.04912878 Western_Iberia_A
0.05499325 Basque_A
0.05662888 Basque_B

[gixajo]

Basque_A,0.129400,0.151363,0.056592,0.009969,0.055 369,0.001684,-0.001497,0.002219,0.029901,0.042217,-0.006567,0.010430,-0.021605,-0.014950,0.016526,-0.000228,-0.010023,0.002891,-0.000104,-0.003690,0.008894,0.000847,-0.007353,-0.008318,0.004371
Basque_B,0.129980,0.151218,0.056729,0.010916,0.056 997,0.001317,-0.002363,0.001867,0.030979,0.043402,-0.006901,0.010974,-0.021877,-0.016393,0.015582,0.000896,-0.008863,0.002900,-0.001266,-0.002242,0.009474,0.002486,-0.007764,-0.009103,0.004721
Western_Iberia_A,0.105635,0.147286,0.034534,-0.002808,0.083067,-0.003419,-0.003868,0.011839,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666
Western_Iberia_B,0.1059749,0.14389121,0.03570005,-0.00442911,0.0411317,-0.00399821,-0.00373312,0.0027618,0.0249777,0.0283415,-0.0007001,0.00755231,-0.01198001,-0.0111856,0.0124442,-0.0004008,-0.00113155,-0.000910169,-0.0058101,-0.000245201,0.00113802,-0.00256878,0.00130049,-0.00113333,-0.00009061
Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_D,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_E,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936
Eastern_Iberia_B,0.116763,0.145573,0.040169,-0.000895,0.043895,-0.001604,-0.001487,0.000867,0.022104,0.030804,-0.002591,0.006740,-0.014299,-0.011302,0.007289,0.000120,-0.000935,0.000312,-0.000230,-0.000542,0.004739,-0.000805,-0.001543,-0.002186,0.000788
Eastern_Iberia_C,0.116199,0.1470133,0.042622,-0.0028219,0.0400251,-0.0022293,-0.00053853,0.002461301,0.0193323,0.02958292,-0.0046045,0.0081411,-0.0148759,-0.01261152,0.0044135,0.0023003,0.0020513,0.0010494 7,0.00114143,-0.0044522,0.0004899,0.0006302,0.00123331,0.0003216 88,-0.00412023
Eastern_Iberia_D,0.118623,0.146511,0.040830,-0.000864,0.044471,-0.001771,-0.001364,0.001725,0.022721,0.032378,-0.002682,0.006962,-0.014377,-0.011684,0.007179,-0.000780,-0.001410,0.000075,-0.001211,-0.000411,0.003582,-0.000496,-0.002138,-0.003820,0.001196
Easterm_Iberia_A,0.120007,0.145737,0.041131,-0.001316,0.044655,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381

Target: gixajo_scaled
Distance: 1.6164% / 0.01616442
39.2 Easterm_Iberia_A
31.0 Western_Iberia_B
26.8 Basque_B
2.2 Western_Iberia_A
0.8 Eastern_Iberia_C

Distance to: gixajo_scaled
0.01798811 Easterm_Iberia_A
0.01846522 Eastern_Iberia_D
0.02028559 Eastern_Iberia_B
0.02509074 Eastern_Iberia_C
0.02621524 Western_Iberia_B
0.02876167 Western_Iberia_D
0.03186997 Basque_A
0.03332080 Western_Iberia_C
0.03341608 Basque_B
0.03374539 Western_Iberia_E
0.04430426 Western_Iberia_A

[gixajo]

0.02693757 Western_Iberia_D
0.02814198 Western_Iberia_E
0.03210017 Western_Iberia_C
0.03305533 Western_Iberia_B
0.03574008 Eastern_Iberia_B
0.03635971 Eastern_Iberia_D
0.03702633 Eastern_Iberia_A2
0.03802339 Eastern_Iberia_C
0.04912878 Western_Iberia_A
0.05499325 Basque_A
0.05662888 Basque_B

Quité la A vieja y puse la nueva.

Consideras que no son lógicos o razonables tus resultados, o estabas siendo irónico?

[Defcon2]

Basque_A,0.129400,0.151363,0.056592,0.009969,0.055 369,0.001684,-0.001497,0.002219,0.029901,0.042217,-0.006567,0.010430,-0.021605,-0.014950,0.016526,-0.000228,-0.010023,0.002891,-0.000104,-0.003690,0.008894,0.000847,-0.007353,-0.008318,0.004371
Basque_B,0.129980,0.151218,0.056729,0.010916,0.056 997,0.001317,-0.002363,0.001867,0.030979,0.043402,-0.006901,0.010974,-0.021877,-0.016393,0.015582,0.000896,-0.008863,0.002900,-0.001266,-0.002242,0.009474,0.002486,-0.007764,-0.009103,0.004721
Western_Iberia_A,0.105635,0.147286,0.034534,-0.002808,0.083067,-0.003419,-0.003868,0.011839,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666
Western_Iberia_B,0.1059749,0.14389121,0.03570005,-0.00442911,0.0411317,-0.00399821,-0.00373312,0.0027618,0.0249777,0.0283415,-0.0007001,0.00755231,-0.01198001,-0.0111856,0.0124442,-0.0004008,-0.00113155,-0.000910169,-0.0058101,-0.000245201,0.00113802,-0.00256878,0.00130049,-0.00113333,-0.00009061
Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_D,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_E,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936
Eastern_Iberia_B,0.116763,0.145573,0.040169,-0.000895,0.043895,-0.001604,-0.001487,0.000867,0.022104,0.030804,-0.002591,0.006740,-0.014299,-0.011302,0.007289,0.000120,-0.000935,0.000312,-0.000230,-0.000542,0.004739,-0.000805,-0.001543,-0.002186,0.000788
Eastern_Iberia_C,0.116199,0.1470133,0.042622,-0.0028219,0.0400251,-0.0022293,-0.00053853,0.002461301,0.0193323,0.02958292,-0.0046045,0.0081411,-0.0148759,-0.01261152,0.0044135,0.0023003,0.0020513,0.0010494 7,0.00114143,-0.0044522,0.0004899,0.0006302,0.00123331,0.0003216 88,-0.00412023
Eastern_Iberia_D,0.118623,0.146511,0.040830,-0.000864,0.044471,-0.001771,-0.001364,0.001725,0.022721,0.032378,-0.002682,0.006962,-0.014377,-0.011684,0.007179,-0.000780,-0.001410,0.000075,-0.001211,-0.000411,0.003582,-0.000496,-0.002138,-0.003820,0.001196
Easterm_Iberia_A,0.120007,0.145737,0.041131,-0.001316,0.044655,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381

Target: gixajo_scaled
Distance: 1.6164% / 0.01616442
39.2 Easterm_Iberia_A
31.0 Western_Iberia_B
26.8 Basque_B
2.2 Western_Iberia_A
0.8 Eastern_Iberia_C

Distance to: gixajo_scaled
0.01798811 Easterm_Iberia_A
0.01846522 Eastern_Iberia_D
0.02028559 Eastern_Iberia_B
0.02509074 Eastern_Iberia_C
0.02621524 Western_Iberia_B
0.02876167 Western_Iberia_D
0.03186997 Basque_A
0.03332080 Western_Iberia_C
0.03341608 Basque_B
0.03374539 Western_Iberia_E
0.04430426 Western_Iberia_A

Western Iberia A es sospechoso de estar equivocado.

[Defcon2]

Quité la A vieja y puse la nueva.

Consideras que no son lógicos o razonables tus resultados, o estabas siendo irónico?

Irónico, pero si ya sabías que soy extremeño con un 7% bereber.

[gixajo]

Western Iberia A es sospechoso de estar equivocado.

Por la distancia sí, pero los primeros que hice los hice separados y no sé si encontraré el archivo donde lo guardé, soy bastante caótico y no tenía un método establecido al principio.

Si lo encuentro lo repaso.

El siguiente paso es poner a todos un Iberian: delante y hacer unas sources con poblaciones extranjeras para hacer un modelo tipo MyHeritage.

[gixajo]

Western Iberia A es sospechoso de estar equivocado.

Dos coordenadas mal, una el mismo error, suma de coordenadas, y la otra doble cero en vez de un cero. El cambio es increíble.

Esos promedios los hice a mano :picard2:


Western_IberiaA,0.105635,0.147286,0.034534,-0.002808,0.041534,-0.003419,-0.003868,0.00880,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666

Miraré después de comer Western E, porque aunque la hice con un método mejor, dos pasos requieren hacer cosas de uno en uno y puedo haberme equivocado igualmente.

Luego sigo.:thumb001:

[Defcon2]

Dos coordenadas mal, una el mismo error, suma de coordenadas, y la otra doble cero en vez de un cero. El cambio es increíble.

Esos promedios los hice a mano :picard2:


Western_IberiaA,0.105635,0.147286,0.034534,-0.002808,0.041534,-0.003419,-0.003868,0.00880,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666

Miraré después de comer Western E, porque aunque la hice con un método mejor, dos pasos requieren hacer cosas de uno en uno y puedo haberme equivocado igualmente.

Luego sigo.:thumb001:

Ahora mejor.

Distance to: Juan_scaled
0.02693757 Western_Iberia_D
0.02814198 Western_Iberia_E
0.03210017 Western_Iberia_C
0.03305533 Western_Iberia_B
0.03311984 Western_IberiaA
0.03574008 Eastern_Iberia_B
0.03635971 Eastern_Iberia_D
0.03702633 Eastern_Iberia_A2
0.03802339 Eastern_Iberia_C
0.05499325 Basque_A
0.05662888 Basque_B

[gixajo]

El Western E está bien.

Pues ya definitivamente(:rolleyes:), quedaría así.



Basque_A,0.129400,0.151363,0.056592,0.009969,0.055 369,0.001684,-0.001497,0.002219,0.029901,0.042217,-0.006567,0.010430,-0.021605,-0.014950,0.016526,-0.000228,-0.010023,0.002891,-0.000104,-0.003690,0.008894,0.000847,-0.007353,-0.008318,0.004371
Basque_B,0.129980,0.151218,0.056729,0.010916,0.056 997,0.001317,-0.002363,0.001867,0.030979,0.043402,-0.006901,0.010974,-0.021877,-0.016393,0.015582,0.000896,-0.008863,0.002900,-0.001266,-0.002242,0.009474,0.002486,-0.007764,-0.009103,0.004721
Western_Iberia_B,0.1059749,0.14389121,0.03570005,-0.00442911,0.0411317,-0.00399821,-0.00373312,0.0027618,0.0249777,0.0283415,-0.0007001,0.00755231,-0.01198001,-0.0111856,0.0124442,-0.0004008,-0.00113155,-0.000910169,-0.0058101,-0.000245201,0.00113802,-0.00256878,0.00130049,-0.00113333,-0.00009061
Western_Iberia_C,0.102371,0.14599836,0.03839654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Western_Iberia_D,0.102441,0.145094,0.036345,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Western_Iberia_E,0.09898026,0.14598236,0.03170178, 0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936
Eastern_Iberia_B,0.116763,0.145573,0.040169,-0.000895,0.043895,-0.001604,-0.001487,0.000867,0.022104,0.030804,-0.002591,0.006740,-0.014299,-0.011302,0.007289,0.000120,-0.000935,0.000312,-0.000230,-0.000542,0.004739,-0.000805,-0.001543,-0.002186,0.000788
Eastern_Iberia_C,0.116199,0.1470133,0.042622,-0.0028219,0.0400251,-0.0022293,-0.00053853,0.002461301,0.0193323,0.02958292,-0.0046045,0.0081411,-0.0148759,-0.01261152,0.0044135,0.0023003,0.0020513,0.0010494 7,0.00114143,-0.0044522,0.0004899,0.0006302,0.00123331,0.0003216 88,-0.00412023
Eastern_Iberia_D,0.118623,0.146511,0.040830,-0.000864,0.044471,-0.001771,-0.001364,0.001725,0.022721,0.032378,-0.002682,0.006962,-0.014377,-0.011684,0.007179,-0.000780,-0.001410,0.000075,-0.001211,-0.000411,0.003582,-0.000496,-0.002138,-0.003820,0.001196
Easterm_Iberia_A,0.120007,0.145737,0.041131,-0.001316,0.044655,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381
Western_IberiaA,0.105635,0.147286,0.034534,-0.002808,0.041534,-0.003419,-0.003868,0.00880,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666


Target: gixajo_scaled
Distance: 1.6186% / 0.01618590
38.6 Easterm_Iberia_A
33.6 Western_Iberia_B
27.8 Basque_B

Distance to: gixajo_scaled
0.01798811 Easterm_Iberia_A
0.01846522 Eastern_Iberia_D
0.02028559 Eastern_Iberia_B
0.02509074 Eastern_Iberia_C
0.02621524 Western_Iberia_B
0.02685937 Western_IberiaA
0.02876167 Western_Iberia_D
0.03186997 Basque_A
0.03332080 Western_Iberia_C
0.03341608 Basque_B
0.03374539 Western_Iberia_E

[gixajo]

Prueba de calculador global :


West_African:C1,-0.622612,0.061947,0.030924,0.017119,0.007078,0.010 877,-0.027261,0.032306,-0.040496,0.015855,-0.001786,0.005695,0.003271,-0.001927,0.004072,-0.001989,0.002999,-0.004941,0.004399,-0.000125,-0.002745,0.004946,0.002588,0.001687,-0.000838
Berber:A1,-0.2936636,0.1051579,0.0019988,-0.0400681,0.0144488,-0.012341,-0.0366736,0.0210568,0.0269358,0.0215312,0.0057566,-0.0045259,0.021318,-0.0074316,0.0114277,-0.0088304,0.0031227,-0.011079,-0.023053,0.0049898,-0.0073621,-0.019636,0.0121769,-0.0003616,0.0026523
Berber:M1,-0.0923593,0.1309307,-0.0032863,-0.0711984,0.0256529,-0.0324909,-0.0312229,0.0101041,0.0673468,0.0299258,0.0098476,-0.0059732,0.021662,-0.0161411,0.0201934,-0.0141398,-0.005979,-0.0213652,-0.0461312,0.0094778,-0.0164531,-0.0416268,0.024808,-0.0020657,0.0053715
Berber:M2,-0.1025221,0.131656,-0.0023166,-0.0759511,0.0310606,-0.0356582,-0.0335058,0.012016,0.0766524,0.0315659,0.0088154,-0.0092596,0.0247308,-0.0204174,0.0203483,-0.0157212,0.0001119,-0.0288305,-0.0534217,0.0119165,-0.0208205,-0.0511129,0.0307414,-0.0051899,0.0074671
Berber:T1,-0.0279499,0.1390711,-0.0080871,-0.0764792,0.0277316,-0.0352023,-0.0313867,0.0052818,0.0684246,0.0297957,0.0040057,-0.0043877,0.0196314,-0.0161248,0.0140923,-0.0169052,0.0001521,-0.0232896,-0.0467247,0.0078579,-0.0168314,-0.0404275,0.0281347,-0.0044517,0.0063666
Berber:T2,-0.0391015,0.1347667,-0.0189668,-0.0779,0.0188088,-0.0355667,-0.0216624,0.005864,0.0576878,0.0205605,0.0056455,-0.0122362,0.0263216,-0.009407,0.0124783,-0.0050072,-0.0056909,-0.0131682,-0.0303375,0.0115203,-0.0085143,-0.0241851,0.0149999,-4.95e-05,0.0005494
Berber:MT,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
Amerindian:A1,0.0529278,-0.328016,0.1120048,0.0774392,-0.1061738,-0.0184068,-0.1983488,-0.2347978,-0.0037325,-0.020137,0.0082817,-0.0034098,0.0063925,6.87e-05,-0.0151328,-0.004508,-0.0005215,0.0032622,0.0115015,0.0073472,0.0038682,-0.0107578,0.0027115,0.0062055,0.0092805
Armenian,0.1028676,0.1379851,-0.0581239,-0.0608451,-0.0286976,-0.0158969,0.0046413,-0.0057114,-0.0304485,-0.0043964,0.0012991,-0.0002249,-0.003029,0.0024773,-0.0046145,-0.0014582,0.0004075,0.0008232,0.0025769,-0.0027984,0.0001561,0.0024885,-0.0022492,-0.0021838,-1.51e-05
Ashkenazi_Jew,0.1001169,0.1368425,-0.0073382,-0.0429994,0.0097966,-0.0154087,-0.0008812,-0.0008942,0.0081981,0.0142751,0.0011639,-0.0005932,0.0028802,0.0001662,-0.0041451,-0.001674,-0.0037648,3.18e-05,-0.0008065,-0.0040645,-0.0026776,-0.0022721,0.0016895,0.002169,0.0015267
Eskimo,0.0462298,-0.3635596,0.1205625,0.0443752,-0.1200932,-0.0424128,-0.1052488,-0.1222136,0.0062615,-0.0132332,0.0296172,-0.0048648,0.0103032,-0.0178062,-0.0326252,-0.0135751,0.0001303,0.0136335,0.0359594,0.0189128, 0.0284978,-0.0500224,0.0099641,0.0265932,0.0419768
French:A,0.1273112,0.1403715,0.0503172,0.0224324,0 .0384224,0.0089105,0.0029199,0.0048748,0.0068516,0 .010679,-0.0031341,0.0045785,-0.0094438,-0.0041699,0.0085606,0.0030662,-0.0048927,0.0024387,0.003243,-0.000716,0.0027639,0.0011562,-0.0013219,0.0071364,-0.0003143
French:B,0.1314657,0.1383406,0.0578504,0.0392849,0 .0391688,0.0158131,0.0031549,0.0042114,0.008186,0. 0094899,-0.0051314,0.00559,-0.014368,-0.0131017,0.0183426,0.0043987,-0.0073016,0.0012795,-0.000462,0.0017727,0.0044671,0.0017868,-0.001254,0.0105465,0.0006586
French:C,0.1282752,0.1405432,0.0513571,0.0256051,0 .0382728,0.0088906,0.0010967,0.0044194,0.008373,0. 0120166,-0.003484,0.0040328,-0.0108613,-0.0081823,0.0111991,0.0025432,-0.0046069,0.0022266,0.0040947,0.0010308,0.0021327, 0.0015249,-0.0015724,0.0074707,1.45e-05
French:D,0.1254161,0.1446566,0.0474194,0.0129918,0 .0434726,0.0039974,-0.0003394,0.0025128,0.0154076,0.0221721,-0.0024659,0.0073546,-0.0139686,-0.0096693,0.0082989,0.001483,-0.0007871,0.0014968,0.0030726,-0.000213,0.0018579,0.003737,-0.0022823,0.0018163,-8.87e-05
German:1,0.1302626,0.1373792,0.0579811,0.0387068,0 .0400035,0.0156461,0.0040665,0.0057865,0.003526,0. 00188,-0.0044133,0.0023732,-0.0053706,-0.0025417,0.0085125,0.0032913,-0.0032728,0.0016631,0.0033669,0.0017191,0.00314,0. 002005,7.18e-05,0.0083052,0.0002774
German:3,0.1267359,0.130439,0.061171,0.0486973,0.0 417911,0.0199408,0.011073,0.0052151,0.00133549,-0.0025616,-0.003734,0.0011101,-0.0091476,-0.0038398,0.0161643,-0.0008352,-0.0133511,0.0032684,0.0041354,0.0040271,0.0060019, 0.0037342,-0.0007273,0.011146,-0.0004429
German:2,0.1308965,0.1384928,0.0610936,0.0499842,0 .0381225,0.0161408,0.0063158,0.007038,0.0021988,-0.0049205,-0.0052168,-0.0017799,-3.71e-05,0.008223,0.0013064,-0.0031324,-0.0079045,0.0011876,0.0053106,-0.0007504,0.0006239,-0.0011128,0.0017716,0.0016118,-0.0003142
Greek:South,0.118376,0.1438667,0.0037713,-0.0325153,0.0159003,-0.010412,0.001645,-0.000923,-0.000409,0.018102,0.000108,0.0039467,-0.0058967,0.0037157,-0.016377,0.0023863,0.0134297,0.0003377,0.009176,-0.0007083,-0.0092753,0.003998,0.0013967,-0.0001203,-0.0033927
Amerindian:Z1,0.0539522,-0.2983626,0.1125328,0.0919258,-0.1038348,-0.0159524,-0.267254,-0.3242634,-0.0066264,-0.0142508,-0.0050014,-0.0057552,0.0030028,0.0200376,-0.0058362,0.0001592,0.0028166,-0.0007856,0.0026146,0.0012506,-0.0024708,0.0052428,9.86e-05,0.0003858,-0.0012694
Balkan:North,0.128051,0.1338467,0.0518917,0.031492 5,0.035822,0.0125223,0.0060161,0.0067381,0.0018408 ,-0.0058862,-0.001153,-0.0023827,0.0047275,0.0127851,-0.0066365,-0.0022011,0.0027512,-0.0007223,0.0018101,-0.0007503,-0.005166,-0.0024236,0.0044246,-0.0010966,0.0001796
Finnish,0.1305931,0.0918715,0.0899057,0.0766156,0. 0317187,0.0232595,0.0087265,0.013184,0.0031769,-0.023071,0.0036809,-0.0060345,0.0119227,0.0058077,0.0021081,-0.0012815,-0.008136,0.0006589,0.0012905,0.0027597,0.0070458,0 .0011706,0.0027937,0.0056955,0.0021076
West_Africa:G1,-0.6064875,0.0671942,0.0197362,0.0114665,0.0021028, 0.0055777,-0.0358392,0.0387677,-0.0317353,0.0241463,0.0054132,-0.0036467,0.0162287,-0.0009865,0.011016,-0.0153362,0.009692,-0.0011823,-0.002116,-0.0032307,-0.001643,-0.0018137,0.0043958,-0.0001005,0.001377
Chinese,0.0220816,-0.454551,-0.0059588,-0.067184,0.0749678,0.03224,0.000235,-0.0044306,-0.0137848,0.0022232,-0.0520616,-0.0056348,0.0087414,-0.0073766,-0.005293,0.000106,0.0019038,0.0009374,-0.004148,-0.0133564,0.0203392,0.0022008,0.0134092,-0.0006268,-0.005173
India:A,0.064737,-0.0336392,-0.1301538,0.1126068,-0.0731289,0.0650512,0.0003525,0.0089997,0.0287868, 0.0123239,-0.0062315,0.0016672,-0.0046456,-0.0012385,0.008805,-0.0048561,-0.0096485,0.0011716,-0.0023569,-0.010974,-0.00078,0.0001081,0.0026806,0.0032082,-0.0081579
Iran,0.0813834,0.0918039,-0.0670521,-0.0250971,-0.0456393,-0.001255,0.0037131,-0.0039691,-0.0256882,-0.0161279,0.0009419,-0.0049007,0.007106,-0.0033718,0.005836,0.0132854,-0.0052543,0.0026733,0.0015334,-0.0073411,0.0014723,-0.0024483,0.0010722,-0.0061093,0.0049216
Italian:A,0.1028203,0.1462363,-0.011942,-0.0466197,0.0125147,-0.0117133,-0.0024283,-0.0031537,0.0044993,0.0215037,0.000433,0.0027977,-0.0055003,-0.000963,-0.009636,-0.0052593,0.0068237,0.0009713,0.0051537,-0.003043,-0.0026203,-0.0023907,-0.0001643,0.0037753,0.00012
Italian:B,0.1256322,0.1482672,0.0303111,-0.0061572,0.0342755,-0.0004532,0.0020416,0.0020047,0.0100346,0.0230415,-0.0022328,0.0054889,-0.0105363,-0.0038189,-0.0026974,0.000953,0.0034796,0.0019557,0.0028518,-0.0042286,-0.0009982,0.0028594,-0.0001309,0.001318,-0.0021479
Italian:C,0.1146768,0.1525832,0.006694,-0.0350455,0.0213115,-0.0115738,0.0024675,0.000519,0.0068512,0.0234627,0 .001299,0.0028475,-0.007656,-0.0070875,-0.0068538,0.0041432,-0.000228,-0.0005068,0.0018225,-0.005065,-0.002745,0.0033695,-0.0003697,-0.0003613,-0.000479
Irish,0.1334042,0.134875,0.0610876,0.0482532,0.038 3388,0.0188992,0.003,0.0047738,0.0031318,0.002725,-0.00714,0.005606,-0.0143759,-0.0139278,0.0253478,0.0048208,-0.0110725,0.0022052,0.0007502,0.0013385,0.0051745, 0.0012249,-0.0003563,0.0147667,0.0010665
Baltic:A,0.135108,0.1240977,0.083306,0.0805239,0.0 431158,0.0294229,0.0123146,0.015207,-0.0044994,-0.0323469,-0.0030203,-0.012469,0.0240532,0.0300018,-0.0152957,0.0017237,0.0070014,-0.0013936,0.00494,0.0030138,-0.0053282,-0.0060342,0.010057,-0.0066392,-0.0003714
Baltic:B,0.135449,0.119832,0.096166,0.096254,0.049 24,0.038487,0.014101,0.016153,-0.002045,-0.040456,-0.005684,-0.018434,0.024975,0.029314,-0.010586,0.016706,0.024121,-0.001774,-0.002137,0.008879,-0.000749,-0.001731,0.01368,-0.004217,0.000359
Baltic:C,0.130897,0.118817,0.090886,0.077843,0.040 931,0.033746,0.00846,0.017538,-0.001432,-0.032802,0.001786,-0.007643,0.013379,0.015001,0.000814,0.000796,0.002 217,-0.003041,0.005531,0.001251,0.003119,-0.005564,-0.005423,0.009037,0.002155
Balkan:U1,0.12862,0.139128,0.04186,0.025517,0.0304 67,0.011156,0.00423,0.008077,0.002454,0.00328,-0.001299,-0.000899,0.003568,0.020643,-0.010043,-0.016043,-0.009127,0.001267,0.009553,-0.002626,-0.008984,-0.002844,0.003081,-0.004699,-0.002515
Balkan:U2,0.126344,0.141159,0.033564,0.010982,0.02 7697,-0.001116,0.003525,0.006,0.007158,0.004009,-0.003897,-0.00015,0.008325,0.009496,-0.012079,-0.004243,0.014081,-0.00266,0.002263,-0.011631,-0.00549,0.000866,0.010723,-0.002892,-0.001557
Slavic:R1,0.131181,0.1155162,0.069673,0.065892,0.0 326215,0.0221718,0.0107517,0.0129802,-0.0040395,-0.0257865,-0.0018675,-0.0072685,0.0188058,0.0195768,-0.013097,0.0020885,0.0036507,0.0008865,0.0025453,0 .0006252,-0.0037432,-0.0080992,0.005854,-0.0047598,-0.001377
Slavic:P1,0.1318405,0.1292694,0.0698685,0.0577382, 0.0406754,0.0217127,0.0086781,0.0108626,-0.0009329,-0.0185524,-0.0043488,-0.0064187,0.013093,0.0186295,-0.0070244,-0.0005595,0.0015455,-7.41e-05,0.0026948,0.0012872,-0.0031286,-0.0031185,0.0056063,-0.0033328,-8.76e-05
Slavic:R3,0.1344536,0.12326,0.0721244,0.0663361,0. 0391226,0.0249958,0.0116038,0.0126919,0.0001025,-0.0253992,-0.003532,-0.0088234,0.0168916,0.0290039,-0.0098056,-0.0078226,-0.0033411,-0.0008392,4.72e-05,0.0017821,0.0001091,-0.004235,0.0059004,-0.0064014,0.0003291
Slavic:R2,0.1308965,0.1216098,0.0735385,0.0608855, 0.0360838,0.0225205,0.009694,0.011711,-0.0024542,-0.0240098,0.0008118,-0.0079052,0.017282,0.024359,-0.0136402,-0.0037125,0.0012385,0.0011085,0.0028285,0.0034392,-0.0023708,-0.0032148,0.0023725,-0.0050305,-0.0019758
Saami,0.1115467,-0.0240343,0.1130107,0.0793503,-0.006668,0.0071583,0.0083817,0.0118457,0.002727,-0.0331063,0.0231673,-0.008043,0.0200197,-0.014221,-0.0065597,-0.0019887,-0.0032597,8.43e-05,-0.0041063,0.0047523,0.01984,-0.0002887,-0.0057923,0.0005223,-0.0006387
Scottish,0.1314657,0.1342312,0.0622654,0.0470426,0 .039106,0.0172812,0.0035502,0.0051756,0.0035719,0. 0028246,-0.005614,0.0050473,-0.0116806,-0.0119731,0.023024,0.0031254,-0.0112549,0.0027736,0.0025499,0.0014516,0.0042246, 0.0033076,-0.0006559,0.0135561,-0.0007698
Balkan:S1,0.1288476,0.1352686,0.056191,0.0338504,0 .0349602,0.0126616,0.0065332,0.0069688,0.0031086,-0.004483,-0.0031828,-0.0022482,0.0022298,0.0151936,-0.0086318,-0.002201,0.0002086,0.0013682,0.0078184,-0.0011508,-0.004018,-0.0027946,0.0014052,-0.001976,0.0021792
Scandinavian:S1,0.1339317,0.1282953,0.0720659,0.05 63097,0.0409013,0.0214348,0.0070612,0.0092964,0.00 49085,-0.0065951,-0.0048022,0.001513,-0.004651,-0.0038337,0.0150003,0.0040156,-0.0072332,0.0020029,0.0034837,0.0048772,0.0070768, 0.0022787,0.0011269,0.0106612,-0.0009751
Tajik,0.0928895,0.013246,-0.0298254,0.0209107,-0.0438208,0.0167213,0.0048738,-0.000642,-0.0280643,-0.0221773,-0.0075193,0.000417,-0.0007433,-0.0081197,0.0114714,0.0104573,-0.0048413,-8.27e-05,0.0011095,-0.0082376,-0.0067489,-0.0024892,0.0013665,0.0017708,0.003405
Tibetan,0.0227647,-0.4129819,0.0071652,-0.0389753,0.0143617,0.0048961,0.0089042,0.0071023, 0.0037042,0.0135664,-0.0834497,-0.0072601,0.0091674,-0.0055814,-0.0115816,-0.0037124,0.000478,-0.003674,-0.0106703,0.0051133,0.0009151,0.0225871,0.0048476,-0.0014862,0.0358982
Turkish:North,0.1008472,0.0560572,-0.0221744,-0.0341734,-0.027205,-0.011825,0.007473,-0.0003694,-0.022743,-0.0023692,-0.0030204,0.0035968,-0.0066006,0.004184,-0.0076818,-0.0048526,0.0003132,0.0012414,0.0013324,-0.004027,-0.0065134,0.0032148,-0.0026866,0.0006024,-0.0022994
Turkish:Northwest,0.0995953,0.0639783,-0.0138275,-0.0285855,-0.0186187,-0.01255,0.00517,-0.000846,-0.0172822,-0.0011238,-0.0024087,0.0017485,-0.0036422,0.0019955,-0.0031895,0.0003317,0.0080838,-0.0008237,-0.0006075,0.0012715,-0.004596,0.000742,-0.0013147,0.0004418,0.0007983
Turkish:South,0.094018,0.0497608,-0.0207418,-0.0324292,-0.0293592,-0.0107652,0.0080372,-0.0001386,-0.0207388,-0.0028794,-0.0017862,0.0001498,-0.0032408,-0.0026976,-0.0009226,0.0042428,0.0062844,0.0012162,-0.0004524,-0.0002252,-0.0030694,0.0021762,-0.0051516,0.004338,0.0039756
Turkish:Southwest,0.0954045,0.0585314,-0.0177931,-0.0312429,-0.0223256,-0.0116374,0.0053836,0.0006084,-0.0149116,0.0018555,-0.0011515,0.0007358,-0.002973,-0.0010509,-0.0048735,0.007859,0.0102175,0.0007485,0.0005829,-0.0003978,-0.0040155,-0.0021471,-0.003395,0.0007012,-0.0018289
Slavic:U1,0.1309273,0.1240867,0.0683506,0.0575551, 0.0376867,0.0212936,0.0087651,0.0113072,-0.002891,-0.0210999,-0.0016327,-0.0076594,0.0153563,0.0216328,-0.0112354,-0.0010965,0.0046903,-0.0006985,0.0025989,0.0017002,-0.0044989,-0.003479,0.0067387,-0.0040578,0.0007217
Welsh,0.1319779,0.1381628,0.0601319,0.0430236,0.04 05922,0.0166218,0.0033135,0.006392,0.0062789,0.004 3372,-0.0042302,0.0059122,-0.0129112,-0.0109754,0.0205954,0.005708,-0.0087032,0.0023564,0.003086,0.0020072,0.0049849,0 .0038518,-1.24e-05,0.0112243,0.0008083
English:E1,0.1318551,0.137043,0.0617883,0.044013,0 .0392299,0.0167481,0.0049845,0.0057448,0.0052637,0 .0056781,-0.0047691,0.0056161,-0.0125892,-0.0103507,0.0206153,0.0035521,-0.0103689,0.004094,0.003685,0.0029619,0.0059369,0. 0034036,-0.0032693,0.0137938,3.16e-05
English:C1,0.1301962,0.1397525,0.0613546,0.0431826 ,0.0419013,0.0164115,0.0034346,0.0063902,0.0064819 ,0.0069669,-0.0046342,0.0064788,-0.0137455,-0.0102476,0.0207548,0.003172,-0.012527,0.0021146,0.0037613,0.0032419,0.0048088,0 .0038712,-0.0007584,0.0143671,0.0006909
India:G1,0.0662308,-0.0119959,-0.1247796,0.0851711,-0.0769759,0.0505314,0.0026291,0.0083362,0.0064552,-0.0010593,-0.0048717,-0.0012364,0.0010592,-0.0041717,0.0077021,0.0109138,-0.0036019,0.0018845,0.0026631,-0.0099658,-0.0013024,-0.0072259,0.0020028,-0.0022743,0.0017364
India:P1,0.0519316,-0.0642322,-0.1506595,0.107923,-0.0675126,0.0628202,0.0019388,0.0111341,0.0398566, 0.0192716,-0.0027402,9.36e-05,-0.0005761,0.0002754,-0.0065655,0.0010606,0.0043025,-0.000459,-0.0002514,-0.0004847,0.0022929,-0.0010202,-0.0018793,0.0002109,-0.0025298
Iberian:Basque_A,0.129400,0.151363,0.056592,0.0099 69,0.055369,0.001684,-0.001497,0.002219,0.029901,0.042217,-0.006567,0.010430,-0.021605,-0.014950,0.016526,-0.000228,-0.010023,0.002891,-0.000104,-0.003690,0.008894,0.000847,-0.007353,-0.008318,0.004371
Iberian:Basque_B,0.129980,0.151218,0.056729,0.0109 16,0.056997,0.001317,-0.002363,0.001867,0.030979,0.043402,-0.006901,0.010974,-0.021877,-0.016393,0.015582,0.000896,-0.008863,0.002900,-0.001266,-0.002242,0.009474,0.002486,-0.007764,-0.009103,0.004721
Iberian:Western_Iberia_B,0.1059749,0.14389121,0.03 570005,-0.00442911,0.0411317,-0.00399821,-0.00373312,0.0027618,0.0249777,0.0283415,-0.0007001,0.00755231,-0.01198001,-0.0111856,0.0124442,-0.0004008,-0.00113155,-0.000910169,-0.0058101,-0.000245201,0.00113802,-0.00256878,0.00130049,-0.00113333,-0.00009061
Iberian:Western_Iberia_C,0.102371,0.14599836,0.038 39654,-0.001609,0.03899084,-0.00194992,-0.00259015,0.00669191,0.02371925,0.0289806,-0.00097474,0.0046501,-0.009812,-0.00449542,0.01059016,-0.008751,-0.0151195,0.0007601,-0.00553231,-0.00175110,0.0043702,-0.00123745,0.0030881,-0.00549543,0.00319898
Iberian:Western_Iberia_D,0.102441,0.145094,0.03634 5,-0.001454,0.039276,-0.000802,-0.002850,0.000692,0.026026,0.031231,-0.002395,0.008542,-0.011354,-0.011526,0.010943,-0.004293,-0.007383,-0.000350,-0.006128,-0.004971,0.002308,-0.003849,0.000786,-0.003223,0.00000102
Iberian:Western_Iberia_E,0.09898026,0.14598236,0.0 3170178,0.001938,0.03908402,-0.00140014,-0.0042311,-0.00323121,0.024499543,0.03479807,-0.001624,0.008692,-0.01169744,-0.01623922,0.00778872,-0.000265,-0.001825,-0.0019001,-0.007416,-0.001982751,0.005004991,-0.00531731,-0.0016925,-0.00011992,0.00199936
Iberian:Eastern_Iberia_B,0.116763,0.145573,0.04016 9,-0.000895,0.043895,-0.001604,-0.001487,0.000867,0.022104,0.030804,-0.002591,0.006740,-0.014299,-0.011302,0.007289,0.000120,-0.000935,0.000312,-0.000230,-0.000542,0.004739,-0.000805,-0.001543,-0.002186,0.000788
Iberian:Eastern_Iberia_C,0.116199,0.1470133,0.0426 22,-0.0028219,0.0400251,-0.0022293,-0.00053853,0.002461301,0.0193323,0.02958292,-0.0046045,0.0081411,-0.0148759,-0.01261152,0.0044135,0.0023003,0.0020513,0.0010494 7,0.00114143,-0.0044522,0.0004899,0.0006302,0.00123331,0.0003216 88,-0.00412023
Iberian:Eastern_Iberia_D,0.118623,0.146511,0.04083 0,-0.000864,0.044471,-0.001771,-0.001364,0.001725,0.022721,0.032378,-0.002682,0.006962,-0.014377,-0.011684,0.007179,-0.000780,-0.001410,0.000075,-0.001211,-0.000411,0.003582,-0.000496,-0.002138,-0.003820,0.001196
Iberian:Easterm_Iberia_A,0.120007,0.145737,0.04113 1,-0.001316,0.044655,-0.002924,-0.001069,0.003079,0.020969,0.033103,-0.003142,0.008077,-0.014740,-0.011730,0.009619,-0.002122,-0.004994,-0.001202,-0.000417,-0.000296,0.004234,-0.000314,-0.002809,-0.005270,0.000381
Iberian:Western_IberiaA,0.105635,0.147286,0.034534 ,-0.002808,0.041534,-0.003419,-0.003868,0.00880,0.025139,0.030482,-0.001017,0.006233,-0.011671,-0.011756,0.010056,0.001105,-0.001739,-0.002090,-0.006086,0.0000860,0.0016300,-0.0036560,-0.0000890,-0.0019520,0.000666

[Hibiscus]

99296
mía (MTA)

[gixajo]

99296
mía (MTA)


Invalid Attachment specified. If you followed a valid link, please notify the administrator

[gixajo]

Hoy me ha llegado a casa el kit de 23andme, y acabo de ver que están procesando,( por fin), las muestras de mis padres de MyHeritage.

Por cierto, Defcon2, tenías razón, son muy poco discretos enviando el kit los de 23andme, podrían por lo menos poner un plástico translúcido en vez de uno transparente que disimule un poco lo que es. MH en eso mucho mejor.

Hasta el lunes no me lo hago, que Correos no abre.

[Defcon2]

Hoy me ha llegado a casa el kit de 23andme, y acabo de ver que están procesando,( por fin), las muestras de mis padres de MyHeritage.

Por cierto, Defcon2, tenías razón, son muy poco discretos enviando el kit los de 23andme, podrían por lo menos poner un plástico translúcido en vez de uno transparente que disimule un poco lo que es. MH en eso mucho mejor.

Hasta el lunes no me lo hago, que Correos no abre.

Si, el paquete va diciendo implícitamente MIRA ESTE PAVO HACIÉNDOSE UNA PRUEBA DE ADN.

[gixajo]

Si, el paquete va diciendo implícitamente MIRA ESTE PAVO HACIÉNDOSE UNA PRUEBA DE ADN.

Yo creo que la cartera ha leido el "saliva test " que pone claramente en la caja y se piensa que me voy a hacer un test privado de coronavirus.

Todavía no lo he abierto, algún consejo sobre cómo se hace y cómo se envía ?

[Defcon2]

Yo creo que la cartera ha leido el "saliva test " que pone claramente en la caja y se piensa que me voy a hacer un test privado de coronavirus.

Todavía no lo he abierto, algún consejo sobre cómo se hace y cómo se envía ?

Escupe saliva llenándolo hasta una línea, luego lo cierras con el tapón. Metes el tubo en una bolsa incluida dentro de la caja y quita el plástico con las instrucciones que viene dentro.

Viene prepagado a diferencia del de MH, una vez hecho el test entregas la caja a pelo sin nada más al de correos, o lo depositas en un buzón.

[gixajo]

Escupe saliva llenándolo hasta una línea, luego lo cierras con el tapón. Metes el tubo en una bolsa incluida dentro de la caja y quita el plástico con las instrucciones que viene dentro.

Viene prepagado a diferencia del de MH, una vez hecho el test entregas la caja a pelo sin nada más al de correos, o lo depositas en un buzón.

Perfecto, el Domingo lo haré, y el Lunes o Martes lo enviaré.

Al final los de tus padres y los test de Mh, lo has descartado?

[Defcon2]

Perfecto, el Domingo lo haré, y el Lunes o Martes lo enviaré.

Al final los de tus padres y los test de Mh, lo has descartado?

Hazlo mejor el mismo día de cuando lo envíes, a saber cuánto tarda y la saliva puede perder eficacia. Registra tu cuenta utilizando el código en 23andme una vez hecho el test y antes de enviarlo mejor, aunque se puede hacer después.

De momento he descartado hacerles el test.

[gixajo]

Hazlo mejor el mismo día de cuando lo envíes, a saber cuánto tarda y la saliva puede perder eficacia. Registra tu cuenta utilizando el código en 23andme una vez hecho el test y antes de enviarlo mejor, aunque se puede hacer después.

De momento he descartado hacerles el test.

Si tiene líquido conservador, el Adn de esa saliva se mantiene perfectamente varios años. Por dos o tres días no pasa nada. No viene con líquido conservador???

[Defcon2]

Si tiene líquido conservador, el Adn de esa saliva se mantiene perfectamente varios años. Por dos o tres días no pasa nada. No viene con líquido conservador???

Si, pero dura unos meses la saliva en buen estado aunque dicen que es mejor enviarlo cuanto antes. Por dos o tres días tampoco creo que sea importante.

[gixajo]

Respondiendo a un thread, se me han ocurrido varios juegos juego, por ejemplo, modelarnos usando como refrencia solo dos o cuatro samples, y que esos samples sean los del origen de nuestras familias paternas y maternas.

Por ejemplo, mi padre es de Jaén y mi madre alavesa, sus padres eran de donde ean ellos, así que solo usaría 2.


Spanish_Andalucia,0.1081318,0.1460759,0.0357074,-0.003434,0.0452553,-0.0058567,-0.0019295,0.0026598,0.0247151,0.0311624,-0.0021538,0.0072724,-0.0132072,-0.0114083,0.0102433,-0.0024984,-0.0061762,-0.0011002,-0.0042604,-0.0021325,0.0029291,-0.0013016,-0.0019719,-0.0053334,0.0018844
Spanish_Pais_Vasco,0.128241,0.1516523,0.0563163,0. 008075,0.052112,0.0024173,0.000235,0.002923,0.0277 467,0.039849,-0.0059003,0.0093417,-0.02106,-0.012065,0.0184127,-0.002475,-0.0123433,0.0028713,0.0022207,-0.0065867,0.0077363,-0.002432,-0.006532,-0.006748,0.003672


Target: gixajo_scaled
Distance: 1.8395% / 0.01839496
63.0 Spanish_Andalucia
37.0 Spanish_Pais_Vasco

Si vuestros abuelos son de varios sitios usad hasta 4 samples.

[Defcon2]

Respondiendo a un thread, se me han ocurrido varios juegos juego, por ejemplo, modelarnos usando como refrencia solo dos o cuatro samples, y que esos samples sean los del origen de nuestras familias paternas y maternas.

Por ejemplo, mi padre es de Jaén y mi madre alavesa, sus padres eran de donde ean ellos, así que solo usaría 2.


Spanish_Andalucia,0.1081318,0.1460759,0.0357074,-0.003434,0.0452553,-0.0058567,-0.0019295,0.0026598,0.0247151,0.0311624,-0.0021538,0.0072724,-0.0132072,-0.0114083,0.0102433,-0.0024984,-0.0061762,-0.0011002,-0.0042604,-0.0021325,0.0029291,-0.0013016,-0.0019719,-0.0053334,0.0018844
Spanish_Pais_Vasco,0.128241,0.1516523,0.0563163,0. 008075,0.052112,0.0024173,0.000235,0.002923,0.0277 467,0.039849,-0.0059003,0.0093417,-0.02106,-0.012065,0.0184127,-0.002475,-0.0123433,0.0028713,0.0022207,-0.0065867,0.0077363,-0.002432,-0.006532,-0.006748,0.003672


Target: gixajo_scaled
Distance: 1.8395% / 0.01839496
63.0 Spanish_Andalucia
37.0 Spanish_Pais_Vasco

Si vuestros abuelos son de varios sitios usad hasta 4 samples.

Interesante.

Target: Juan_scaled
Distance: 3.3214% / 0.03321372
100.0 Spanish_Extremadura

[Defcon2]

Promedio total de España.


España,0.1144025,0.14661262,0.04157889,-0.00047692,0.04559043,-0.00239672,-0.00271566,0.00175494,0.02497745,0.03341936,-0.00325408,0.00789498,-0.01521062,-0.01265773,0.01085992,-0.0012558,-0.00526959,-0.00013733,-0.00296474,-0.00156674,0.0038362,-0.00100913,-0.0024281,-0.00270632,0.0012605


Estaría bien promediar todos los países o zonas y hacer uno para toda Europa pero no tengo ganas de hacerlo yo solo. Lo dejo como idea.

[mitalit]

Respondiendo a un thread, se me han ocurrido varios juegos juego, por ejemplo, modelarnos usando como refrencia solo dos o cuatro samples, y que esos samples sean los del origen de nuestras familias paternas y maternas.

Por ejemplo, mi padre es de Jaén y mi madre alavesa, sus padres eran de donde ean ellos, así que solo usaría 2.


Spanish_Andalucia,0.1081318,0.1460759,0.0357074,-0.003434,0.0452553,-0.0058567,-0.0019295,0.0026598,0.0247151,0.0311624,-0.0021538,0.0072724,-0.0132072,-0.0114083,0.0102433,-0.0024984,-0.0061762,-0.0011002,-0.0042604,-0.0021325,0.0029291,-0.0013016,-0.0019719,-0.0053334,0.0018844
Spanish_Pais_Vasco,0.128241,0.1516523,0.0563163,0. 008075,0.052112,0.0024173,0.000235,0.002923,0.0277 467,0.039849,-0.0059003,0.0093417,-0.02106,-0.012065,0.0184127,-0.002475,-0.0123433,0.0028713,0.0022207,-0.0065867,0.0077363,-0.002432,-0.006532,-0.006748,0.003672


Target: gixajo_scaled
Distance: 1.8395% / 0.01839496
63.0 Spanish_Andalucia
37.0 Spanish_Pais_Vasco

Si vuestros abuelos son de varios sitios usad hasta 4 samples.

Italian_Campania:NaN43TC,0.106994,0.147252,-0.00528,-0.040375,0.024004,-0.016733,-0.000235,0.001385,0.005113,0.025331,0.002111,0.000 899,-0.005054,-0.002064,-0.005565,-0.006629,0.002868,-0.001267,-0.005782,-0.004877,-0.004243,-0.000866,0.005916,-0.001928,-0.002515
Spanish_Castilla_Y_Leon:HG01506,0.113823,0.148267, 0.038089,0.001292,0.044931,0.002789,-0.001175,0.002769,0.02577,0.032438,-0.002436,0.007793,-0.016799,-0.017616,0.013029,-0.000928,0.001304,-0.003674,-0.003645,0.006003,0.000374,-0.000618,-0.005176,-0.000241,-0.002155
Spanish_Pais_Vasco:HG01518,0.126344,0.151314,0.054 682,0.00646,0.051086,0.006136,-0.000705,0.003231,0.024747,0.040821,0.000812,0.011 39,-0.023488,-0.009909,0.016829,-0.005834,-0.013821,0.000633,0.00352,-0.011005,0.006364,-0.004822,-0.002218,-0.003133,0.001676


Target: Xabier_scaled
Distance: 2.6747% / 0.02674665
96.0 Spanish_Castilla_Y_Leon
4.0 Italian_Campania


Distance to: Xabier_scaled
0.02692006 Spanish_Castilla_Y_Leon:HG01506
0.04790564 Spanish_Pais_Vasco:HG01518
0.07948496 Italian_Campania:NaN43TC

[gixajo]

Promedio total de España.


España,0.1144025,0.14661262,0.04157889,-0.00047692,0.04559043,-0.00239672,-0.00271566,0.00175494,0.02497745,0.03341936,-0.00325408,0.00789498,-0.01521062,-0.01265773,0.01085992,-0.0012558,-0.00526959,-0.00013733,-0.00296474,-0.00156674,0.0038362,-0.00100913,-0.0024281,-0.00270632,0.0012605


Estaría bien promediar todos los países o zonas y hacer uno para toda Europa pero no tengo ganas de hacerlo yo solo. Lo dejo como idea.

Si ponemos de acuerdo en cómo y con qué samples hacerlo, nos podemos repartir el trabajo, yo algo cada día puedo hacer.

Yo me ofrezco como peón, dirige tú.

[Defcon2]

Si ponemos de acuerdo en cómo y con qué samples hacerlo, nos podemos repartir el trabajo, yo algo cada día puedo hacer.

Yo me ofrezco como peón, dirige tú.

Sería con los promedios oficiales, y los países que sean cercanos genéticamente juntarlos en un mismo promedio para no desvirtuar demasiado los porcentajes.

Esto es lo que tengo:


España,0.1144025,0.14661262,0.04157889,-0.00047692,0.04559043,-0.00239672,-0.00271566,0.00175494,0.02497745,0.03341936,-0.00325408,0.00789498,-0.01521062,-0.01265773,0.01085992,-0.0012558,-0.00526959,-0.00013733,-0.00296474,-0.00156674,0.0038362,-0.00100913,-0.0024281,-0.00270632,0.0012605
UK_Irlanda,0.1317303,0.13647543,0.06162398,0.04562 285,0.039644,0.017335,0.00374233,0.0055211,0.00461 233,0.00454865,-0.00553933,0.00568705,-0.0130978,-0.0116248,0.02243548,0.00366758,-0.01130583,0.00279685,0.0026866,0.00224848,0.00503 62,0.00295183,-0.00125998,0.01412093,0.0002548
Francia,0.12805369,0.141295,0.04918951,0.02265938, 0.04019089,0.0091258,0.00231129,0.00329077,0.00976 047,0.01500455,-0.00453609,0.00576136,-0.0118134,-0.00884415,0.01164184,0.00388236,-0.00338416,0.00187468,0.00146148,-0.00014712,0.00361639,0.00265615,-0.00128249,0.006167,-0.00078943
Italia,0.11450407,0.14694516,0.01230272,-0.02408279,0.02467723,-0.00832835,0.00067162,0.00013059,0.00785524,0.0225 9551,-0.00066486,0.00440753,-0.00878827,-0.00175749,-0.00392629,-0.00311087,0.00097506,0.00043229,0.00325976,-0.00372443,-0.00153899,0.0013535,-0.00042867,0.00235124,-0.00022037


Queda por estudiar los molestos países pequeños pero debería estar equilibrado.

[Damião de Góis]

Sería con los promedios oficiales, y los países que sean cercanos genéticamente juntarlos en un mismo promedio para no desvirtuar demasiado los porcentajes.

Esto es lo que tengo:


España,0.1144025,0.14661262,0.04157889,-0.00047692,0.04559043,-0.00239672,-0.00271566,0.00175494,0.02497745,0.03341936,-0.00325408,0.00789498,-0.01521062,-0.01265773,0.01085992,-0.0012558,-0.00526959,-0.00013733,-0.00296474,-0.00156674,0.0038362,-0.00100913,-0.0024281,-0.00270632,0.0012605
UK_Irlanda,0.1317303,0.13647543,0.06162398,0.04562 285,0.039644,0.017335,0.00374233,0.0055211,0.00461 233,0.00454865,-0.00553933,0.00568705,-0.0130978,-0.0116248,0.02243548,0.00366758,-0.01130583,0.00279685,0.0026866,0.00224848,0.00503 62,0.00295183,-0.00125998,0.01412093,0.0002548
Francia,0.12805369,0.141295,0.04918951,0.02265938, 0.04019089,0.0091258,0.00231129,0.00329077,0.00976 047,0.01500455,-0.00453609,0.00576136,-0.0118134,-0.00884415,0.01164184,0.00388236,-0.00338416,0.00187468,0.00146148,-0.00014712,0.00361639,0.00265615,-0.00128249,0.006167,-0.00078943
Italia,0.11450407,0.14694516,0.01230272,-0.02408279,0.02467723,-0.00832835,0.00067162,0.00013059,0.00785524,0.0225 9551,-0.00066486,0.00440753,-0.00878827,-0.00175749,-0.00392629,-0.00311087,0.00097506,0.00043229,0.00325976,-0.00372443,-0.00153899,0.0013535,-0.00042867,0.00235124,-0.00022037


Queda por estudiar los molestos países pequeños pero debería estar equilibrado.

Juntei Portugal e obtive isto:

Distance to: Gil_Vicente
0.02597823 Portuguese
0.02757243 España
0.04816333 Francia
0.05230155 Italia
0.07450308 UK_Irlanda

Target: Gil_Vicente
Distance: 2.4327% / 0.02432748
66.2 Portuguese
13.4 España
10.4 UK_Irlanda
10.0 Italia

[Defcon2]

Juntei Portugal e obtive isto:

Distance to: Gil_Vicente
0.02597823 Portuguese
0.02757243 España
0.04816333 Francia
0.05230155 Italia
0.07450308 UK_Irlanda

Target: Gil_Vicente
Distance: 2.4327% / 0.02432748
66.2 Portuguese
13.4 España
10.4 UK_Irlanda
10.0 Italia

Distance to: Juan_scaled
0.03254586 Portuguese
0.03310249 España
0.05791440 Italia
0.06054790 Francia
0.08686850 UK_Irlanda

Target: Juan_scaled
Distance: 3.1912% / 0.03191246
52.8 Portuguese
44.2 España
3.0 Italia

[Damião de Góis]

Distance to: Juan_scaled
0.03254586 Portuguese
0.03310249 España
0.05791440 Italia
0.06054790 Francia
0.08686850 UK_Irlanda

Target: Juan_scaled
Distance: 3.1912% / 0.03191246
52.8 Portuguese
44.2 España
3.0 Italia

Espanha inclui as Canárias?

[Defcon2]

Espanha inclui as Canárias?

No por que desvirtuaban la media nacional, a los vascos solo los he incluido en el promedio español y no en el de Francia por las mismas razones.

[gixajo]

Target: gixajo_scaled
Distance: 1.7359% / 0.01735925
87.6 España
12.4 Francia

Me sale el mismo resultado poniendo Portugal o no poniéndolo, las distancias son éstas:

Distance to: gixajo_scaled
0.01810916 España
0.02532658 Portuguese
0.04062266 Francia
0.05962406 Italia
0.06988582 UK_Irlanda

[Damião de Góis]

Target: gixajo_scaled
Distance: 1.7359% / 0.01735925
87.6 España
12.4 Francia

Me sale el mismo resultado poniendo Portugal o no poniéndolo, las distancias son éstas:

Distance to: gixajo_scaled
0.01810916 España
0.02532658 Portuguese
0.04062266 Francia
0.05962406 Italia
0.06988582 UK_Irlanda

Estás mais perto de Portugal do que eu :D

[gixajo]

Hice la media con los samples que hice yo, pero dejando solo un sample Basque, me sale esto:


Iberian_Peninsula,0.113046,0.146496,0.040702,-0.000692,0.043261,-0.001890,-0.002111,0.003255,0.023877,0.031902,-0.002741,0.007481,-0.013857,-0.011249,0.009896,-0.001450,-0.004520,0.000059,-0.002709,-0.001808,0.003487,-0.001272,-0.000836,-0.003453,0.000710

Me sale una distancia un poco peor que la España de Defcon2, sin embargo se me anula totalmente en los resultados de Single, y me da exactamente el mismo resultado que con los samples que puso él.

Quitando el sample de España y Portugal que puso Defcon, me cambia el resultado, y la distancia es algo peor:

Target: gixajo_scaled
Distance: 1.8601% / 0.01860131
88.0 Iberian_Peninsula
12.0 Francia

[mitalit]

Target: Xabier_scaled
Distance: 2.5853% / 0.02585335
62.0 España
19.6 UK_Irlanda
17.2 Italia
1.2 Francia

[gixajo]

En el Ultimate Ancient Components de Celti da esto:

Target: España
Distance: 2.3097% / 0.02309692
54.4 Early_European_Farmer
29.2 Steppe_Pastoralist
13.2 Western_Hunter-Gatherer
3.2 Iberomaurusian

Target: Iberian_Peninsula
Distance: 2.0204% / 0.02020372
54.0 Early_European_Farmer
30.0 Steppe_Pastoralist
12.8 Western_Hunter-Gatherer
3.2 Iberomaurusian

:rolleyes:

[gixajo]

Y una media entre La España de Defcon y Portugal?

[Defcon2]

Hice la media con los samples que hice yo, pero dejando solo un sample Basque, me sale esto:


Iberian_Peninsula,0.113046,0.146496,0.040702,-0.000692,0.043261,-0.001890,-0.002111,0.003255,0.023877,0.031902,-0.002741,0.007481,-0.013857,-0.011249,0.009896,-0.001450,-0.004520,0.000059,-0.002709,-0.001808,0.003487,-0.001272,-0.000836,-0.003453,0.000710

Me sale una distancia un poco peor que la España de Defcon2, sin embargo se me anula totalmente en los resultados de Single, y me da exactamente el mismo resultado que con los samples que puso él.

Quitando el sample de España y Portugal que puso Defcon, me cambia el resultado, y la distancia es algo peor:

Target: gixajo_scaled
Distance: 1.8601% / 0.01860131
88.0 Iberian_Peninsula
12.0 Francia

0.03254586 Portuguese
0.03275287 Iberian_Peninsula
0.03310249 España

Me quita italiano, probablemente tus medias contengan influencia de las baleares. Supongo.

Target: Juan_scaled
Distance: 3.2029% / 0.03202935
53.2 Portuguese
46.0 Iberian_Peninsula
0.8 Italia

Target: Juan_scaled
Distance: 3.1912% / 0.03191246
52.8 Portuguese
44.2 España
3.0 Italia


Y una media entre La España de Defcon y Portugal?

No lo haría directamente, estarías haciendo un combo de Iberia Occidental con Iberia Oriental + Occidental.

[gixajo]

0.03254586 Portuguese
0.03275287 Iberian_Peninsula
0.03310249 España

Me quita italiano, probablemente tus medias contengan influencia de las baleares. Supongo.

Target: Juan_scaled
Distance: 3.2029% / 0.03202935
53.2 Portuguese
46.0 Iberian_Peninsula
0.8 Italia

Target: Juan_scaled
Distance: 3.1912% / 0.03191246
52.8 Portuguese
44.2 España
3.0 Italia



No lo haría directamente, estarías haciendo un combo de Iberia Occidental con Iberia Oriental + Occidental.

A ver, hacemos medias con los mismos samples, y son la media de todos los samples que hice de western y eastern Iberia mas uno solo de los dos samples vascos, al final va a salir algo muy similar. Mi Iberian penisnula es eso, Iberia oriental e Iberia occidental mas 1/10 vasco.

Habria que sumarle algo mas de castellano y andaluz, y como han dicho, supongo que ni tú ni yo pensamos en los canarios.