Talvez sim. Se publicares é possível que muita gente fique confusa :lol:
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Como siempre hay alguien a quien no le gusta algún sample del modelo, y como soy como una madre, le dí lo que pedía, más un cambio que no pidió de regalo, porque me equivoqué.
Por si queréis probarlo. Sigue siendo UNESCALED:
Code:Europe:Dutch,0.0111359,0.0129297,0.0162,0.0142875,0.01315,0.0059609,0.0027844,0.0035016,0.0017484,0.0001797,-0.0039688,0.0030609,-0.0058578,-0.006425,0.0128531,0.0040312,-0.0063,0.001,0.0033969,0.00225,0.0037594,0.0023188,0.0002172,0.0127422,-0.0004109
Oceania:AustralianAborigen,-0.0037,-0.02315,-0.05665,0.0726,0.045,-0.122,-0.00135,0.00325,-0.00405,0.00045,-0.0038,8e-04,0.00055,-0.00195,-0.0026,-1e-04,0.0077,0.0016,-0.0019,0.00485,0.00285,-3e-04,-0.00275,0.00105,-0.0038
America:AmerindianNorth,0.0046,-0.0323,0.0291,0.0228,-0.034,-0.006,-0.0861,-0.1051,-0.0013,-0.0086,0.0042,-0.0033,0.0038,0.0003,-0.0108,-0.002,-0.0002,0.0046,0.01,0.0051,0.0019,-0.008,-0.0034,0.0048,0.0061
Africa:Yoruba,-0.0554,0.0066,0.0055,0.005,0.0006,0.0054,-0.02,0.0221,-0.0257,0.0193,0.0027,0.0033,0.0169,0.001,0.0102,-0.0053,0.0076,0.0034,0.0061,-0.0017,-0.0003,0.0006,-0.0016,-0.0017,-0.0025
Asia:Japanese,0.0020167,-0.0438667,0.0034667,-0.0183,0.0117667,0.00335,0.0015,0.00025,-0.0031833,0.00585,-0.0456,-0.0049833,0.0077667,-0.0051333,-0.00815,-0.0033667,0.0002333,0.0028333,0.0013333,-0.0074,0.0216667,-0.0134167,0.0039833,0.0028,-0.03505
Quote:
Target: gixajo
Distance: 3.3897% / 0.03389681
87.6 Europe:Dutch
5.2 Asia:Japanese
5.0 Africa:Yoruba
2.2 Oceania:AustralianAborigen
Code:Europe:German,0.0114443,0.0135278,0.0153747,0.0119835,0.0129987,0.0056101,0.0017304,0.0025076,0.0017241,0.0010316,-0.0027177,0.0015835,-0.0036127,-0.0018468,0.0062722,0.0024823,-0.0025101,0.0013127,0.0026785,0.0013747,0.0025165,0.0016215,5.82e-05,0.0068924,0.0002316
Oceania:AustralianAborigen,-0.0037,-0.02315,-0.05665,0.0726,0.045,-0.122,-0.00135,0.00325,-0.00405,0.00045,-0.0038,8e-04,0.00055,-0.00195,-0.0026,-1e-04,0.0077,0.0016,-0.0019,0.00485,0.00285,-3e-04,-0.00275,0.00105,-0.0038
America:AmerindianNorth,0.0046,-0.0323,0.0291,0.0228,-0.034,-0.006,-0.0861,-0.1051,-0.0013,-0.0086,0.0042,-0.0033,0.0038,0.0003,-0.0108,-0.002,-0.0002,0.0046,0.01,0.0051,0.0019,-0.008,-0.0034,0.0048,0.0061
Africa:Yoruba,-0.0554,0.0066,0.0055,0.005,0.0006,0.0054,-0.02,0.0221,-0.0257,0.0193,0.0027,0.0033,0.0169,0.001,0.0102,-0.0053,0.0076,0.0034,0.0061,-0.0017,-0.0003,0.0006,-0.0016,-0.0017,-0.0025
Asia:Japanese,0.0020167,-0.0438667,0.0034667,-0.0183,0.0117667,0.00335,0.0015,0.00025,-0.0031833,0.00585,-0.0456,-0.0049833,0.0077667,-0.0051333,-0.00815,-0.0033667,0.0002333,0.0028333,0.0013333,-0.0074,0.0216667,-0.0134167,0.0039833,0.0028,-0.03505
Quote:
Target: gixajo
Distance: 3.0856% / 0.03085610
94.0 Europe:German
2.8 Asia:Japanese
1.8 Oceania:AustralianAborigen
1.4 Africa:Yoruba
Code:Europe:Norwegian,0.0117571,0.0126,0.0180143,0.0165429,0.0125571,0.0075429,0.0017857,0.0027286,0.0028,0.0002143,-0.0023,0.0024571,-0.0050571,-0.0085,0.0155286,0.0070857,-0.0041571,0.0020571,0.0005429,6e-04,0.0045143,0.0045,0.0034714,0.0147143,0.0009143
Oceania:AustralianAborigen,-0.0037,-0.02315,-0.05665,0.0726,0.045,-0.122,-0.00135,0.00325,-0.00405,0.00045,-0.0038,8e-04,0.00055,-0.00195,-0.0026,-1e-04,0.0077,0.0016,-0.0019,0.00485,0.00285,-3e-04,-0.00275,0.00105,-0.0038
America:AmerindianNorth,0.0046,-0.0323,0.0291,0.0228,-0.034,-0.006,-0.0861,-0.1051,-0.0013,-0.0086,0.0042,-0.0033,0.0038,0.0003,-0.0108,-0.002,-0.0002,0.0046,0.01,0.0051,0.0019,-0.008,-0.0034,0.0048,0.0061
Africa:Yoruba,-0.0554,0.0066,0.0055,0.005,0.0006,0.0054,-0.02,0.0221,-0.0257,0.0193,0.0027,0.0033,0.0169,0.001,0.0102,-0.0053,0.0076,0.0034,0.0061,-0.0017,-0.0003,0.0006,-0.0016,-0.0017,-0.0025
Asia:Japanese,0.0020167,-0.0438667,0.0034667,-0.0183,0.0117667,0.00335,0.0015,0.00025,-0.0031833,0.00585,-0.0456,-0.0049833,0.0077667,-0.0051333,-0.00815,-0.0033667,0.0002333,0.0028333,0.0013333,-0.0074,0.0216667,-0.0134167,0.0039833,0.0028,-0.03505
Quote:
Target: gixajo
Distance: 3.5940% / 0.03594028
82.2 Europe:Norwegian
8.2 Asia:Japanese
6.6 Africa:Yoruba
3.0 Oceania:AustralianAborigen
@Defcon
Code:Western_Europe:France,0.12805369,0.141295,0.04918951,0.02265938,0.04019089,0.0091258,0.00231129,0.00329077,0.00976047,0.01500455,-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
Western_Europe:Italy,0.11450407,0.14694516,0.01230272,-0.02408279,0.02467723,-0.00832835,0.00067162,0.00013059,0.00785524,0.02259551,-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
Western_Europe:Spain,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
Western_Europe:German,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
North_Europe:UK_&_Ireland,0.1317303,0.13647543,0.06162398,0.04562285,0.039644,0.017335,0.00374233,0.0055211,0.00461233,0.00454865,-0.00553933,0.00568705,-0.0130978,-0.0116248,0.02243548,0.00366758,-0.01130583,0.00279685,0.0026866,0.00224848,0.0050362,0.00295183,-0.00125998,0.01412093,0.0002548
North_Europe:Swedish,0.1339317,0.1282953,0.0720659,0.0563097,0.0409013,0.0214348,0.0070612,0.0092964,0.0049085,-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
North_Europe:Icelandic,0.1326987,0.1336267,0.067819,0.0563097,0.0393663,0.0229619,0.0033488,0.0085188,0.0026418,6.07e-05,-0.0054806,0.0051702,-0.0063675,-0.0090831,0.0230725,0.0052924,-0.0116909,0.0019109,0.0017389,0.0038873,0.0092545,0.0028028,-0.0008422,0.0140179,0.0008282
Balkan:Greek_Thessaly,0.119135,0.1452207,0.013702,-0.020026,0.0188753,-0.0051133,0.0005483,0.000769,0,0.01877,0.0026523,0.0040963,-0.0072843,0.0056883,-0.0090933,-0.0041987,0.0021297,-0.000549,0.0041483,-0.005336,-0.0069877,0.0012777,0.0035743,0.0014057,-0.003353
Balkan:Bosnian,0.1290754,0.1348622,0.0449528,0.0248064,0.0312058,0.0098726,0.004841,0.0052152,-0.0024136,-0.001859,0.0004224,-0.0028176,0.00556,0.0162396,-0.0125404,0.0010078,0.0066756,-0.000583,0.004827,0.0030266,-0.0050912,-0.0034376,0.0075182,0.001229,-0.0016286
Balkan:Slovenian,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
Balkan:Bulgarian,0.12475,0.1348622,0.0256442,0.0053618,0.02462,-0.0008368,0.005499,0.0030458,-0.0002862,0.0069978,-0.0033452,0.0008992,0.002111,0.0086426,-0.0143046,-0.0022274,0.0070928,0.0020016,0.0031424,-0.0037018,-0.0046168,-0.000544,0.00281,-0.0024824,-0.0010776
Eastern_Europe:Polish,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
Eastern_Europe:Russian_Smolensk,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
Eastern_Europe:Russian_Pinega,0.1248257,0.0636397,0.0945317,0.07752,0.02185,0.023241,0.0118287,0.0146147,0.0013637,-0.0311623,0.007091,-0.0119397,0.0239343,0.011331,-0.0102243,-0.0037567,-0.0039987,-0.0022803,-0.0051957,-0.001042,0.0076117,-0.0001233,0.0019717,-0.0024097,0.0020753
Eastern_Europe:Ukrainian,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
Target: Gallop_scaled
Distance: 2.2774% / 0.02277421
99.4 Western_Europe
0.6 North_Europe
Distance to: Gallop_scaled
0.02278176 Western_Europe:Spain
0.04881436 Western_Europe:France
0.05952716 Western_Europe:Italy
0.06786678 Balkan:Greek_Thessaly
0.06888937 Balkan:Bulgarian
0.07141790 Western_Europe:German
0.07630511 North_Europe:UK_&_Ireland
0.08054410 Balkan:Slovenian
0.08055514 Balkan:Bosnian
0.08994037 North_Europe:Icelandic
0.09282465 North_Europe:Swedish
0.10899741 Eastern_Europe:Polish
0.11387907 Eastern_Europe:Ukrainian
0.12442018 Eastern_Europe:Russian_Smolensk
0.15817113 Eastern_Europe:Russian_Pinega
Puedes probar este "método" para tener unas coordenadas G25 provisionales para entretenerte:
https://www.theapricity.com/forum/sh...25-coordinates
Mi neolítico y bronce en Yourdnaportal
Tolan K16P7 Neolithic
Population
Percentage
European_EHG
0.00%
Caucasus
9.02%
Amerindian
0.00%
East_Asian
0.00%
East_African
0.00%
Oceanian
0.00%
Siberian
0.00%
South_Indian
0.00%
South_Chinese
0.00%
West_African
0.00%
Iberomaurusian
6.24%
Levant_Neolithic
0.30%
Anatolian_Farmers
0.00%
West_Farmers
49.96%
Iran_Neolithic
0.00%
European_WHG
34.49%
Tolan K20M12 Bronze Age
Population
Percentage
Amerindian
0.00%
East-Asian
0.00%
East-African
0.29%
Oceanian
0.00%
Siberian
0.00%
South-Asian
0.00%
South-Chinese
0.00%
West-Africa
0.00%
West-Euro
48.13%
Central-Euro
25.72%
North-East-Euro
0.00%
North-Africa
3.18%
Jordan_BA
0.00%
Mota
0.00%
Anatolian_CHL
0.00%
Armenia_CHL
0.00%
Iran_CHL
0.00%
West-Steppe
22.63%
East-Steppe
0.05%
Steppe_to_SCAsian
0.00%
Estás ocupado pero he encontrado algo interesante, puedo extraer un porcentaje específico de unas coordenadas concretas y restarsela a unas coordenadas, por ejemplo:
Saco un 10% de esto:
Y se lo resto a mis coordenadas, saliendo esto:Code:Moroccan_North,-0.0299735,0.1373221,-0.0030378,-0.0673993,0.0280564,-0.0319174,-0.0244542,0.0050512,0.0609822,0.0327317,0.0059091,-0.0065526,0.0185908,-0.0147102,0.0151403,-0.0105629,0.0012604,-0.0179828,-0.040747,0.0092961,-0.0121937,-0.0346297,0.0214382,-0.0055763,0.0043974
PCA básico.Code:JuanMenos10%MoroccanNorth_scaled,0.10088535,0.12437979,0.03198178,0.00706293,0.04428036,0.00430774,-0.00107958,0.00110988,0.01967178,0.03718283,-0.00578691,0.00859826,-0.01895508,-0.01504398,-0.00382103,-0.01405871,-0.01264304,0.00205128,0.0003037,-0.00755761,0.00209237,-0.00197803,-0.00177382,0.00561863,-0.00403174
Target: JuanMenos10%MoroccanNorth_scaled
Distance: 3.8206% / 0.03820629
50.6 Anatolia_Barcin_N
34.4 Yamnaya_RUS_Samara
10.0 WHG
3.0 MAR_Taforalt
2.0 SSA
Comparado con el original.
Target: Juan_scaled
Distance: 3.5087% / 0.03508710
52.4 Anatolia_Barcin_N
30.8 Yamnaya_RUS_Samara
10.2 WHG
5.2 MAR_Taforalt
1.4 SSA
Exceptuando un ligero aumento del SSA, creo que es coherente.
Tendría más utilidad si supiéramos a que componente concreto se refiere cada coordenada, y a que se refiere exactamente esa cifra en la coordenada.
Yo estuve probando algo similar hace tiempo para algo que Lukasz apuntó hoy en el thread del método ese de Gedmatch para las coordenadas del G25.
En el mixed populations del primer oracle, cuando salen las proporciones con dos poblaciones expresadas por ejemplo 91% Spanish y 9% Greek. Redondear a 90-10% y aplicar eso que tú has hecho.
Otra cosa, supongo que sabes que eso con un producto simple se hace directamente, me explico...
Si quieres sacar el 80% de una cifra (restarle un 20%) solo tienes que multiplicar esa cifra por 0,8, si quieres sacar el 120% de una cifra, solo tienes que multlicarlo por 1,2.
Edit: añado que no haría falta redondear en el caso del 91%-9%, solo multiplicar por 0,91 y por 0,09 ;)
reedito: a todas y cada una de las coordenadas de los dos samples., luego sumarlas directamente sin sacar medias, por supuesto.