Genética de españoles e hispanoamericanos

[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.

[gixajo]

Si me da continuamente por lo de Iberian, no es porque quiera anular la identidad portuguesa diluyéndola con esa denominación, es que pienso en un calculador tipo MyHeritage.

Básicamente porque solo tiene ahora mismo 42 "etnias", y soy bastante vago.

[Defcon2]

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.

Las medias que hiciste de qué muestras se componen?

Para hacer la de España tuve que excluir a varias regiones de influencia vasca como La Rioja y Soria, por supuesto no tiene sentido meter a Canarias por el guanche.

[gixajo]

Si me da continuamente por lo de Iberian, no es porque quiera anular la identidad portuguesa diluyéndola con esa denominación, es que pienso en un calculador tipo MyHeritage.

Básicamente porque solo tiene ahora mismo 42 "etnias", y soy bastante vago.

[gixajo]

Las medias que hiciste de qué muestras se componen?

Para hacer la de España tuve que excluir a varias regiones de influencia vasca como La Rioja y Soria, por supuesto no tiene sentido meter a Canarias por el guanche.

Eso hice yo , en las East_Iberian, si creo que te lo comenté a tí cuando las hice...

Poner solo muestras claras orientales y occidentales que no interfieran entre sí ni con muestras vascas. De hecho no usé ninguna muestra Andaluza porque del datasheet que las cogí no venían separadas por provincias. Sólo usé una de Castilla y León que nos salía a todos en algún modelo como bastante cercana, para hacer una de las medias, cuando intenté separar los samples occidentales en Norte y Sur.

Portugal y Extremadura sobre todo y Galicia y Castilla y León menos, generalmente averages, a veces algunas muestras individuales, para las occidentales.

Para las del este, muestras catalanas, valencianas, y alguna balear, en alguna metí a Murcia, porque nadie les hace ningún caso.No metí Aragón porque el Norte puede interferir con vascos, tampoco Navarros por lo mismo, ni riojanos, ni castellano manchegos.Andaluces tampoco por lo mismo, no había por provincias.

Los canarios no los metí, pero igual no hubiera sido mala idea meter una muestra canaria entre las 9 o 10 que usé,para que suba algo el NA, está bastante bajo el promedio tanto de tu muestra de España como la mía de la península. Y muy alto el WHG.

[Defcon2]

Eso hice yo , en las East_Iberian, si creo que te lo comenté a tí cuando las hice...

Poner solo muestras claras orientales y occidentales que no interfieran entre sí ni con muestras vascas. De hecho no usé ninguna muestra Andaluza porque del datasheet que las cogí no venían separadas por provincias. Sólo usé una de Castilla y León que nos salía a todos en algún modelo como bastante cercana, para hacer una de las medias, cuando intenté separar los samples occidentales en Norte y Sur.

Portugal y Extremadura sobre todo y Galicia y Castilla y León menos, generalmente averages, a veces algunas muestras individuales, para las occidentales.

Para las del este, muestras catalanas, valencianas, y alguna balear, en alguna metí a Murcia, porque nadie les hace ningún caso.No metí Aragón porque el Norte puede interferir con vascos, tampoco Navarros por lo mismo, ni riojanos, ni castellano manchegos.Andaluces tampoco por lo mismo, no había por provincias.

Los canarios no los metí, pero igual no hubiera sido mala idea meter una muestra canaria entre las 9 o 10 que usé,para que suba algo el NA, está bastante bajo el promedio tanto de tu muestra de España como la mía de la península. Y muy alto el WHG.

Ya veremos mañana, de mis coordenadas ibéricas la media africana es de un 5.5, excluyendo a los nórdicos se queda en un 6.1 (más cercano a mi NA).

[Hibiscus]

99296
mía (MTA)
Ah, didn't work

Roman Hispania + Mayan (6.29)
Illyrian + Mayan (6.536)
Aquitani + Mayan (7.017)
Aquitani + Aztec (7.32)
Roman Hispania + Aztec (7.557)

Your closest genetic modern populations... 1. Mexican (6.986)
2. Miwok (7.731)
3. Serrano (13.58)
4. Cochimi (13.74)
5. Kumiai (22.52)
6. Tsimsian (22.79)
7. Puerto-Rican (24.41)
8. Colombian (24.71)

[Defcon2]

Bixajo quería una media con más moruno y menos europeo, pues ¡hágase!


Peninsula_Ibérica2,0.11052236,0.14672283,0.0399027 8,-0.00350091,0.04208276,-0.00241079,-0.00378331,0.00211558,0.02413561,0.03155374,0.0000 8948,0.00792472,-0.01400956,-0.01194213,0.01269087,-0.00039492,-0.00419512,-0.00011604,-0.00438525,-0.00011,0.00302089,-0.00127083,-0.0011265,-0.00352267,0.0027651


Target: Peninsula_Ibérica2
Distance: 2.2722% / 0.02272234
52.2 Anatolia_Barcin_N
31.4 Yamnaya_RUS_Samara
11.6 WHG
4.8 MAR_Taforalt

[Rocinante]

Ah, didn't work

Roman Hispania + Mayan (6.29)
Illyrian + Mayan (6.536)
Aquitani + Mayan (7.017)
Aquitani + Aztec (7.32)
Roman Hispania + Aztec (7.557)

Your closest genetic modern populations... 1. Mexican (6.986)
2. Miwok (7.731)
3. Serrano (13.58)
4. Cochimi (13.74)
5. Kumiai (22.52)
6. Tsimsian (22.79)
7. Puerto-Rican (24.41)
8. Colombian (24.71)

Interesting results!

Where you from? Do you have gedmatch?

[gixajo]

Bixajo quería una media con más moruno y menos europeo, pues ¡hágase!


Peninsula_Ibérica2,0.11052236,0.14672283,0.0399027 8,-0.00350091,0.04208276,-0.00241079,-0.00378331,0.00211558,0.02413561,0.03155374,0.0000 8948,0.00792472,-0.01400956,-0.01194213,0.01269087,-0.00039492,-0.00419512,-0.00011604,-0.00438525,-0.00011,0.00302089,-0.00127083,-0.0011265,-0.00352267,0.0027651


Target: Peninsula_Ibérica2
Distance: 2.2722% / 0.02272234
52.2 Anatolia_Barcin_N
31.4 Yamnaya_RUS_Samara
11.6 WHG
4.8 MAR_Taforalt

A mí al menos me funciona mejor la mía, la distancia de la tuya es bastante buena, y el resultado del modelo de antiguas poblaciones se parece más a la media que la mía, igual a la mayoría le funciona mejor.

Target: gixajo_scaled
Distance: 1.9253% / 0.01925276 | ADC: 0.25x
100.0 Iberian_Peninsula

Target: gixajo_scaled
Distance: 1.9253% / 0.01925276
100.0 Iberian_Peninsula

Distance to: gixajo_scaled
0.01925276 Iberian_Peninsula
0.02173211 Peninsula_Ibérica2

[Defcon2]

A mí al menos me funciona mejor la mía, la distancia de la tuya es bastante buena, y el resultado del modelo de antiguas poblaciones se parece más a la media que la mía, igual a la mayoría le funciona mejor.

Target: gixajo_scaled
Distance: 1.9253% / 0.01925276 | ADC: 0.25x
100.0 Iberian_Peninsula

Target: gixajo_scaled
Distance: 1.9253% / 0.01925276
100.0 Iberian_Peninsula

Distance to: gixajo_scaled
0.01925276 Iberian_Peninsula
0.02173211 Peninsula_Ibérica2

No había probado la distancia, pues no sé no sé. Utilicé la misma muestra canaria 5 veces con 7% de iberomaurusiano.

Distance to: Juan_scaled
0.03275287 Iberian_Peninsula
0.03444314 Peninsula_Ibérica2

[gixajo]

No había probado la distancia, pues no sé no sé. Utilicé la misma muestra canaria 5 veces con 7% de iberomaurusiano.

Distance to: Juan_scaled
0.03275287 Iberian_Peninsula
0.03444314 Peninsula_Ibérica2

No sé hasta que punto usar el resultado de los modelos de componentes antiguos como guía es buena idea. Para comprobar lo ya hecho sí viene bien como referencia.

Porque en teoría se parece bastante más a la media este último sample tuyo que los anteriores que hicimos,y sin embargo las distancias son peores no?

[Defcon2]

No sé hasta que punto usar el resultado de los modelos de componentes antiguos como guía es buena idea. Para comprobar lo ya hecho sí viene bien como referencia.

Porque en teoría se parece bastante más a la media este último sample tuyo que los anteriores que hicimos,y sin embargo las distancias son peores no?

No sé si ha sido por usar una muestra de Canarias con más posible influencia arabesca, estoy por usar mis coordenadas. El modelo quizá no lo haya captado como para verse.

[Hibiscus]

Interesting results!

Where you from? Do you have gedmatch?

I'm from Santa Ana, El Salvador, and yes I do! I'm not sure which is the best calculator to use on there though.

[Rocinante]

I'm from Santa Ana, El Salvador, and yes I do! I'm not sure which is the best calculator to use on there though.

You can start using gedmatch, search for it on internet, it's a free tool.

[Hibiscus]

You can start using gedmatch, search for it on internet, it's a free tool.

I know I'm just not sure whether to use Eurogenes, MDLP, etc. since I get wildly different results with them.

[Rocinante]

I know I'm just not sure whether to use Eurogenes, MDLP, etc. since I get wildly different results with them.

Could you share eurogenes k36 and eurogenes k15 with oracles? I can try.

[gixajo]

Tengo miedo...


Procesando el kit de ADN
El kit de ADN de María********* (MH-*******7) está siendo procesado en nuestro laboratorio.

Rastree su kit
y el otro también.



Procesando el kit de ADN
El kit de ADN de R********* (MH-*******) está siendo procesado en nuestro laboratorio.

Rastree su kit

[Hibiscus]

Could you share eurogenes k36 and eurogenes k15 with oracles? I can try.

K15 V2:

North_Sea 16.76 Pct
Atlantic 24.92 Pct
Baltic 5.35 Pct
Eastern_Euro -
West_Med 8.14 Pct
West_Asian 0.30 Pct
East_Med 6.50 Pct
Red_Sea 1.75 Pct
South_Asian 0.24 Pct
Southeast_Asian 0.20 Pct
Siberian 0.77 Pct
Amerindian 33.84 Pct
Oceanian -
Northeast_African 0.85 Pct
Sub-Saharan 0.37 Pct

K36:

Amerindian 35.63 Pct
Arabian 0.50 Pct
Armenian -
Basque 3.21 Pct
Central_African -
Central_Euro 5.16 Pct
East_African 0.20 Pct
East_Asian -
East_Balkan -
East_Central_Asian 1.04 Pct
East_Central_Euro 0.87 Pct
East_Med 4.05 Pct
Eastern_Euro -
Fennoscandian -
French 5.48 Pct
Iberian 16.44 Pct
Indo-Chinese -
Italian 2.26 Pct
Malayan -
Near_Eastern -
North_African 1.00 Pct
North_Atlantic 5.59 Pct
North_Caucasian 0.27 Pct
North_Sea 9.22 Pct
Northeast_African 0.97 Pct
Oceanian -
Omotic -
Pygmy -
Siberian 1.34 Pct
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural 0.29 Pct
West_African 1.64 Pct
West_Caucasian 0.54 Pct
West_Med 4.25 Pct

To me, K15 looked a lot more accurate to my actual DNA results with some minor differences.

[Rocinante]

K15 V2:

North_Sea 16.76 Pct
Atlantic 24.92 Pct
Baltic 5.35 Pct
Eastern_Euro -
West_Med 8.14 Pct
West_Asian 0.30 Pct
East_Med 6.50 Pct
Red_Sea 1.75 Pct
South_Asian 0.24 Pct
Southeast_Asian 0.20 Pct
Siberian 0.77 Pct
Amerindian 33.84 Pct
Oceanian -
Northeast_African 0.85 Pct
Sub-Saharan 0.37 Pct

K36:

Amerindian 35.63 Pct
Arabian 0.50 Pct
Armenian -
Basque 3.21 Pct
Central_African -
Central_Euro 5.16 Pct
East_African 0.20 Pct
East_Asian -
East_Balkan -
East_Central_Asian 1.04 Pct
East_Central_Euro 0.87 Pct
East_Med 4.05 Pct
Eastern_Euro -
Fennoscandian -
French 5.48 Pct
Iberian 16.44 Pct
Indo-Chinese -
Italian 2.26 Pct
Malayan -
Near_Eastern -
North_African 1.00 Pct
North_Atlantic 5.59 Pct
North_Caucasian 0.27 Pct
North_Sea 9.22 Pct
Northeast_African 0.97 Pct
Oceanian -
Omotic -
Pygmy -
Siberian 1.34 Pct
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural 0.29 Pct
West_African 1.64 Pct
West_Caucasian 0.54 Pct
West_Med 4.25 Pct

To me, K15 looked a lot more accurate to my actual DNA results with some minor differences.

Tienes 0% de SSA, esto es algo seguro. Veo que en efecto tienes ascendencia del Norte o Centro de Europa, porque tus niveles de componentes comunes con ellos, teniendo en cuenta de alto amerindio, son altos. Iberico tienes, pero la verdad que ni tanto.

Mira, cuando le des al K15, en la parte de abajo te sale Oracle y Oracle-4, dale y copia lo que dice.

[PT Tagus]

Mapas do ph2ter

K15

https://i.imgur.com/c44iQUa.png

https://i.imgur.com/hb6wF8e.png

https://i.imgur.com/X9NdgRF.png

[gixajo]

En el otro foro han puesto este modelo, en teoría llamado "Northern Mediterranean" o algo así, es básicamente un calculador de componentes antiguos, da resultados similares:


GEO_CHG,0.091058,0.102568,-0.083344,-0.00323,-0.08617,0.020638,0.024911,-0.001846,-0.128236,-0.074717,-0.006333,0.023979,-0.054856,0.004404,0.026601,-0.03275,0.02386,-0.013429,-0.022249,0.034767,0.033815,-0.007048,0.006532,-0.025787,-0.002036
IRN_Ganj_Dareh_N,0.0430252,0.0664158,-0.1550722,0.0047158,-0.122669,0.0235384,0.017109,-0.0011998,-0.082546,-0.0544158,-0.0028258,-0.0016186,0.0044896,-0.0062756,0.0316498,0.0561384,-0.0054242,0.0068664,0.0136508,-0.0334162,0.00856,-0.028836,-0.0110678,-0.039331,0.0222254
Levant_PPNB,0.072847,0.1639064,-0.0316026,-0.1361132,0.0332986,-0.0645352,-0.0134426,-0.0147684,0.0741604,0.03601,0.0188046,-0.0150764,0.035738,0.0025596,-0.0217696,0.006099,0.0098048,-0.0013176,-0.0047264,0.0188088,-0.001797,0.0071472,0.0008872,-0.0056874,-0.0037602
MAR_EN,-0.1735805,0.0919055,-0.0258325,-0.083657,0.0283125,-0.0596825,-0.079316,0.021461,0.1500185,0.0043735,0.0222475,-0.0264515,0.075148,-0.0461725,0.069353,-0.03381,0.0171455,-0.05549,-0.1487635,0.0340785,-0.038245,-0.118212,0.0826995,-0.009941,0.021615
RUS_Devils_Gate_Cave_N,0.0162197,-0.4440402,0.0722185,-0.0511148,-0.0373912,-0.0395328,0.0034075,0.0084802,0.0064935,0.019408,-0.048595,-0.004833,-0.0030848,0.0086702,-0.0096025,-0.0133915,-0.0007825,0.0089,0.0174408,0.0100362,0.008828,-0.027729,-0.0174702,-0.00244,-0.0145795
TUR_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
TUR_Tepecik_Ciftlik_N,0.108701,0.1731478,-0.0143308,-0.100534,0.0270818,-0.0402298,-0.0045828,-0.005019,0.02623,0.05745,0.008444,0.0080555,-0.0101832,0.0052298,-0.0352192,-0.0104748,0.0088662,0.0004432,0.005342,-0.0032828,0.0026827,0.0044515,-0.0071795,-0.0038258,-0.0045805
WHG,0.1246365,0.116278,0.184789,0.189279,0.1546445 ,0.0464355,0.0131605,0.0372675,0.0890705,0.017768,-0.0153455,-0.015811,0.0159065,-0.0030275,0.053338,0.0582065,0.00502,0.016343,-0.0093015,0.055589,0.0944585,0.0111905,-0.049607,-0.160866,0.0170045
Yamnaya_RUS_Samara,0.1255849,0.089028,0.0426986,0. 1153479,-0.0287232,0.0450564,0.0036033,-0.0025642,-0.0559032,-0.0728943,0.0018222,3.32e-05,-0.0026924,-0.0233041,0.0366141,0.0157633,-0.0012316,-0.0017879,-0.0038408,0.0137704,-0.0031749,0.0007557,0.0110649,0.0186102,-0.004537

Target: gixajo_scaled
Distance: 3.7441% / 0.03744113
54.6 TUR_Barcin_N
29.0 Yamnaya_RUS_Samara
14.2 WHG
2.2 MAR_EN

[Damião de Góis]

Target: Gil_Vicente
Distance: 4.1397% / 0.04139660
51.2 TUR_Barcin_N
33.0 Yamnaya_RUS_Samara
10.4 WHG
5.4 MAR_EN

[Pedro Ruben]

Target: Pedro_scaled
Distance: 4.1367% / 0.04136656
44.0 TUR_Barcin_N
31.8 Yamnaya_RUS_Samara
10.0 WHG
8.6 MAR_EN
5.6 TUR_Tepecik_Ciftlik_N

[gixajo]

¿La caja de 23andme con las muestras, se pueden echar directamente a un buzón de o mejor entregarlo en una oficina de Correos?

Sé que está prepagado, pero me da cosa meterlo ahí y ya está...

[Defcon2]

¿La caja de 23andme con las muestras, se pueden echar directamente a un buzón de o mejor entregarlo en una oficina de Correos?

Sé que está prepagado, pero me da cosa meterlo ahí y ya está...

Yo lo entregué a una oficina de Correos pero el astronauta intergaláctico con ascendencia escandinava e irlandesa lo puso en un buzón.

[mitalit]

¿La caja de 23andme con las muestras, se pueden echar directamente a un buzón de o mejor entregarlo en una oficina de Correos?

Sé que está prepagado, pero me da cosa meterlo ahí y ya está...

Yo la metí a un buzón directamente pero entra justito

[gixajo]

Yo la metí a un buzón directamente pero entra justito

¿Puedo pisarlo para que aplastado entre mejor?

[Defcon2]

Yo la metí a un buzón directamente pero entra justito

Se la metiste a un buzón? y eso entraba justito?

[gixajo]

Se la metiste a un buzón? y eso entraba justito?

Debe ser complicado meter algo de sección circular aproximada en un agujero rectangular. Salvo que Spaniard2.0 sea un personaje de Minecraft.

[gixajo]

¿Si meto dos lonchas de jamón serrano en la cajita, acelerarán el proceso y me darán antes los resultados?,¿O como son judíos, se ofenderán y me castigarán dándome un 18% de SSA extra?

[Defcon2]

¿Si meto dos lonchas de jamón serrano en la cajita, acelerarán el proceso y me darán antes los resultados?,¿O como son judíos, se ofenderán y me castigarán dándome un 18% de SSA extra?

Tengo que contar una cosa: con las prisas no sellé la cajita con el adhesivo que viene tirando de la cinta. Tal vez por eso me otorgaron un 1.1% SSA.

[gixajo]

Tengo que contar una cosa: con las prisas no sellé la cajita con el adhesivo que viene tirando de la cinta. Tal vez por eso me otorgaron un 1.1% SSA.

Puede ser. o el cartero era negro, como los huevos de un grillo negro, y la muestra se contaminó, por simpatía.

[mitalit]

Se la metiste a un buzón? y eso entraba justito?

Que va, eso no entra.

[Gallop]

https://www.theapricity.com/forum/showthread.php?324858-First-Dates-Calculator-(_Scaled)

New Calculator

[Rocinante]

Como tengo de abandonado esta seccion... madre mia.

[gixajo]

Hice este calculador:

https://www.theapricity.com/forum/showthread.php?325138-Only-5-components-from-Eurogenes-k13-based-G25-Model&p=6746765#post6746765

Pero a ver si alguien me dice como se cambia el título de un thread, porque es un poco engañoso el título y no sé como se cambia...:picard2:

[gixajo]

Copio y pego del otro foro:


Como siempre estamos con el recurrente debate de qué % de nuestro aporte NA es un aporte reciente o antiguo, aunque sé que no es determinante, se me ha ocurrido un método simplón para intentar discriminarlos.

Sería usar nuestras coordenadas , primero con estos dos samples:



Moroccan,-0.0853671,0.1302133,-0.0128221,-0.0708806,0.0211321,-0.03294,-0.0277833,0.0097687,0.0554032,0.0243993,0.0095087,-0.0090252,0.0269902,-0.0144658,0.0163016,-0.0061874,-0.0027669,-0.0170326,-0.0384216,0.0094351,-0.0098438,-0.0295119,0.0209111,-0.0011248,0.0059207
Basque,0.12997965,0.15121785,0.05672945,0.01091560 ,0.05699690,0.00131690,-0.00236310,0.00186655,0.03097855,0.04340165,-0.00690060,0.01097355,-0.02187710,-0.01639320,0.01558220,0.00089560,-0.00886335,0.00290045,-0.00126605,-0.00568710,0.00947355,0.00248615,-0.00776400,-0.00910345,0.00472095

Y luego con estos otros:


MAR_Taforalt,-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
Basque,0.12997965,0.15121785,0.05672945,0.01091560 ,0.05699690,0.00131690,-0.00236310,0.00186655,0.03097855,0.04340165,-0.00690060,0.01097355,-0.02187710,-0.01639320,0.01558220,0.00089560,-0.00886335,0.00290045,-0.00126605,-0.00568710,0.00947355,0.00248615,-0.00776400,-0.00910345,0.00472095

En distancias de 0.25X.

El % del Moroccan vendría a representar el total del aporte NA moderno+antiguo, y el MAR_TAFORALT el aporte antiguo del componente NA.

Así restando al % Moroccan el % MAR_TAFORALT nos daría el aporte moderno, y podríamos ver la proporción de uno u otro, en diferentes distancias, y calcular una media aproximada en ellas para tener una media general.

Por ejemplo:


Target: gixajo_scaled
Distance: 2.7839% / 0.02783920
92.6 Basque
7.4 Moroccan

Target: gixajo_scaled
Distance: 2.9121% / 0.02912123 | ADC: 0.5x
95.8 Basque
4.2 Moroccan

Target: gixajo_scaled
Distance: 2.7926% / 0.02792588 | ADC: 0.25x
93.4 Basque
6.6 Moroccan



Target: gixajo_scaled
Distance: 3.0099% / 0.03009887
96.6 Basque
3.4 MAR_Taforalt

Target: gixajo_scaled
Distance: 3.1540% / 0.03154013 | ADC: 0.5x
98.6 Basque
1.4 MAR_Taforalt

Target: gixajo_scaled
Distance: 3.0236% / 0.03023582 | ADC: 0.25x
97.2 Basque
2.8 MAR_Taforalt


DIST:NO=7.4 Moroccan-3.4 MAR_TAFORALT-----4 moderno/3.4 antiguo----54%moderno/46% antiguo
DIST:0.25X=6.6 Moroccan-2.8 MAR_TAFORALT-----3.8 moderno/2.8antiguo----57.7% moderno/42.3% antiguo
DIST:0.5X=4.2 Moroccan-1.4 MAR_TAFORALT-----2.8 moderno/ 1.4 antiguo---66.7% moderno/33.3% antiguo

La media sería 59.4% moderno y 40.6% antiguo.

Cosas que están mal?

Prácticamente todo, desde un sample muy moderno de Moroccan que tendrá bastante mezcla Ibérica, hasta usar un sample vasco como referente Ibérico, y unas cuantas cosas más.

Pero bueno, a día de hoy tampoco hay muchas mejores formas de separar aportes antiguos y modernos de un componente.

Otro método sería simplemente calcular proporciones observando la lista de distancias, pero este método es más entretenido, si os aburrís y os apetece jugar con números, es un buen entretenimiento, aunque no sirva para gran cosa.:)

Y como siempre, no es más que un juego.

[Pedro Ruben]

Basque/MAR_Taforalt
Target: Pedro_scaled
Distance: 4.5581% / 0.04558146
90.0 Basque
10.0 MAR_Taforalt

Target: Pedro_scaled
Distance: 4.5848% / 0.04584802 | ADC: 0.25x
91.0 Basque
9.0 MAR_Taforalt

Basque/Moroccan
Target: Pedro_scaled
Distance: 3.4317% / 0.03431675
78.8 Basque
21.2 Moroccan

Target: Pedro_scaled
Distance: 3.4489% / 0.03448899 | ADC: 0.25x
80.2 Basque
19.8 Moroccan

[gixajo]

Intento de modelar españoles y portugueses con solo 3 samples viejunos. Lo siento.:picard1:

Deberíamos obtener todos los españoles y portugueses distancias menores de 2 con esto:


MAR_Taforalt,-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
Iberia_Northeast_c.6-8CE_ES,0.118376,0.1457285,0.0446885,0.013566,0.044 6235,-0.000139,0.0005875,0.007615,0.024441,0.0266065,-0.0080385,0.008917,-0.0064665,-0.006675,0.012079,0.002055,-0.008279,0.004371,-0.000754,0.0027515,-0.0004995,-0.0009275,-0.0056695,0.00241,-0.0022755
CHE_IA,0.125205,0.153345,0.050534,-0.003876,0.049548,-0.005578,0.0047,-0.002077,0.014726,0.033896,0.001786,0.016335,-0.016353,-0.008945,0.001764,-0.001591,0.009518,0.001647,0.002514,-0.006128,0.005241,0.005688,-0.012078,-0.004338,0.000958

[mitalit]

Por poco
Target: Xabier_scaled
Distance: 3.0643% / 0.03064278
56.2 Iberia_Northeast_c.6-8CE_ES
40.8 CHE_IA
3.0 MAR_Taforalt

[gixajo]

Por poco
Target: Xabier_scaled
Distance: 3.0643% / 0.03064278
56.2 Iberia_Northeast_c.6-8CE_ES
40.8 CHE_IA
3.0 MAR_Taforalt

Intento modelar mis sentimientos ahora mismo con solo dos palabras:
Te odio

[gixajo]

¿Lo puede probar alguno cuyo apellido no empiece por "Mac" u "O´"?

[Defcon2]

Intento de modelar españoles y portugueses con solo 3 samples viejunos. Lo siento.:picard1:

Deberíamos obtener todos los españoles y portugueses distancias menores de 2 con esto:


MAR_Taforalt,-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
Iberia_Northeast_c.6-8CE_ES,0.118376,0.1457285,0.0446885,0.013566,0.044 6235,-0.000139,0.0005875,0.007615,0.024441,0.0266065,-0.0080385,0.008917,-0.0064665,-0.006675,0.012079,0.002055,-0.008279,0.004371,-0.000754,0.0027515,-0.0004995,-0.0009275,-0.0056695,0.00241,-0.0022755
CHE_IA,0.125205,0.153345,0.050534,-0.003876,0.049548,-0.005578,0.0047,-0.002077,0.014726,0.033896,0.001786,0.016335,-0.016353,-0.008945,0.001764,-0.001591,0.009518,0.001647,0.002514,-0.006128,0.005241,0.005688,-0.012078,-0.004338,0.000958


Conmigo lo tienes difícil, ni el gran Rocinante pudo bajar mis distancias:

Target: Juan_scaled
Distance: 3.5563% / 0.03556308
51.8 Iberia_Northeast_c.6-8CE_ES
42.2 CHE_IA
6.0 MAR_Taforalt

[mitalit]

¿Lo puede probar alguno cuyo apellido no empiece por "Mac" u "O´"?

:rolleyes:
No se que insinuas pero mi abuelo se apellida perez y es de Zaragoza...
Una fotico suya
https://encrypted-tbn0.gstatic.com/images?q=tbn%3AANd9GcTqxLZvAw4Ja4Hlgd0x0uRylk6kpn_ T5V8Wulc6CwKqhYyNA3j7&usqp=CAU

[Damião de Góis]

Target: Gil_Vicente
Distance: 2.7697% / 0.02769749
62.8 Iberia_Northeast_c.6-8CE_ES
32.6 CHE_IA
4.6 MAR_Taforalt

[gixajo]

:rolleyes:
No se que insinuas pero mi abuelo se apellida perez y es de Zaragoza...
Una fotico suya
G]

Te creo porque usaste "fotico", que es un diminutivo muy maño.

Se suelen usar orejas similares para las alubias...

Ahora en serio, para una vez que pruebo el modelo con varias muestras españolas y portuguesas y todas me salen menos de dos, vienes tú y me fastidias el invento.

No sé, mete uno de estos a ver si te baja:


Bell_Beaker_Scotland,0.122929,0.1228795,0.066562,0 .07106,0.027082,0.0280285,0.0005875,0.003461,-0.0002045,-0.010934,-0.006983,0.0065195,-0.011447,-0.0118355,0.0264655,0.001989,-0.0095835,0.00114,0.001571,0.000938,0.0085475,0.00 6739,-0.002095,0.010604,-0.000479


Bell_Beaker_England_EBA,0.130897,0.126941,0.070144 ,0.064923,0.030159,0.01757,0.00752,0.002077,0,-0.004374,-0.00406,-0.000749,-0.014123,-0.014588,0.039087,0.027844,0.003651,0.005321,-0.007793,-0.001501,0.012852,-0.006059,-0.001602,0.006989,0.013532

[mitalit]

Un poco
Target: Xabier_scaled
Distance: 2.8201% / 0.02820051
52.0 CHE_IA
29.4 Iberia_Northeast_c.6-8CE_ES
14.6 Bell_Beaker_England_EBA
4.0 MAR_Taforalt

[gixajo]

Un poco
Target: Xabier_scaled
Distance: 2.8201% / 0.02820051
52.0 CHE_IA
29.4 Iberia_Northeast_c.6-8CE_ES
14.6 Bell_Beaker_England_EBA
4.0 MAR_Taforalt

y si cambias la muestra Iberia_northeast por esta otra Iberia Northeast?


Iberia_Northeast_c.8-12CE,0.1141078,0.1454745,0.033941,-0.0063792,0.0375455,-0.001046,0.0001175,0.0031728,0.0259233,0.033076,-0.0032475,0.003859,-0.0118182,-0.0116978,0.0027482,-0.0012927,6.5e-05,-0.0040538,-0.00088,-0.0025325,0.004336,0.000371,-0.0001847,-0.0011747,-0.0003592

[mitalit]

y si cambias la muestra Iberia_northeast por esta otra Iberia Northeast?


Iberia_Northeast_c.8-12CE,0.1141078,0.1454745,0.033941,-0.0063792,0.0375455,-0.001046,0.0001175,0.0031728,0.0259233,0.033076,-0.0032475,0.003859,-0.0118182,-0.0116978,0.0027482,-0.0012927,6.5e-05,-0.0040538,-0.00088,-0.0025325,0.004336,0.000371,-0.0001847,-0.0011747,-0.0003592

Sin el bell beaker iguales, con el bell beaker mejores
Target: Xabier_scaled
Distance: 2.3080% / 0.02308000
67.2 Iberia_Northeast_c.8-12CE
18.0 Bell_Beaker_England_EBA
13.2 CHE_IA
1.6 MAR_Taforalt

[Defcon2]

Con Iberia_Northeast_c.8-12CE y Bell Beaker, suerte en la próxima.

Target: Juan_scaled
Distance: 3.1372% / 0.03137186
94.6 Iberia_Northeast_c.8-12CE
2.8 MAR_Taforalt
2.6 CHE_IA

[gixajo]

Con Iberia_Northeast_c.8-12CE y Bell Beaker, suerte en la próxima.

Target: Juan_scaled
Distance: 3.1372% / 0.03137186
94.6 Iberia_Northeast_c.8-12CE
2.8 MAR_Taforalt
2.6 CHE_IA

Pero tú prueba con los primeros que posteé antes.

[Defcon2]

Pero tú prueba con los primeros que posteé antes.


Conmigo lo tienes difícil, ni el gran Rocinante pudo bajar mis distancias:

Target: Juan_scaled
Distance: 3.5563% / 0.03556308
51.8 Iberia_Northeast_c.6-8CE_ES
42.2 CHE_IA
6.0 MAR_Taforalt

[gixajo]

Con Iberia_Northeast_c.8-12CE y Bell Beaker, suerte en la próxima.

Target: Juan_scaled
Distance: 3.1372% / 0.03137186
94.6 Iberia_Northeast_c.8-12CE
2.8 MAR_Taforalt
2.6 CHE_IA

Estos:


MAR_Taforalt,-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
Iberia_Northeast_c.6-8CE_ES,0.118376,0.1457285,0.0446885,0.013566,0.044 6235,-0.000139,0.0005875,0.007615,0.024441,0.0266065,-0.0080385,0.008917,-0.0064665,-0.006675,0.012079,0.002055,-0.008279,0.004371,-0.000754,0.0027515,-0.0004995,-0.0009275,-0.0056695,0.00241,-0.0022755
CHE_IA,0.125205,0.153345,0.050534,-0.003876,0.049548,-0.005578,0.0047,-0.002077,0.014726,0.033896,0.001786,0.016335,-0.016353,-0.008945,0.001764,-0.001591,0.009518,0.001647,0.002514,-0.006128,0.005241,0.005688,-0.012078,-0.004338,0.000958

Te pasa algo?

Te veo un poco borde ultimamente, igual es solo impresión mía.:)

Si molesto con mis absurdos calculadores y chorradas ya lo siento, pero no estáis obligados a hacerlos si no queréis.

[Defcon2]

Estos:


MAR_Taforalt,-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
Iberia_Northeast_c.6-8CE_ES,0.118376,0.1457285,0.0446885,0.013566,0.044 6235,-0.000139,0.0005875,0.007615,0.024441,0.0266065,-0.0080385,0.008917,-0.0064665,-0.006675,0.012079,0.002055,-0.008279,0.004371,-0.000754,0.0027515,-0.0004995,-0.0009275,-0.0056695,0.00241,-0.0022755
CHE_IA,0.125205,0.153345,0.050534,-0.003876,0.049548,-0.005578,0.0047,-0.002077,0.014726,0.033896,0.001786,0.016335,-0.016353,-0.008945,0.001764,-0.001591,0.009518,0.001647,0.002514,-0.006128,0.005241,0.005688,-0.012078,-0.004338,0.000958

Te pasa algo?

Te veo un poco borde ultimamente, igual es solo impresión mía.:)

Si molesto con mis absurdos calculadores y chorradas ya lo siento, pero no estáis obligados a hacerlos si no queréis.

No me ocurre nada, por qué piensas eso? mis otros resultados están arriba. :)

[gixajo]

No me ocurre nada, por qué piensas eso? mis otros resultados están arriba. :)

Estoy buscando excusas para dejar de hacer calculadores absurdos y esa me venía bien.:picard1:

[Defcon2]

Estoy buscando excusas para dejar de hacer calculadores absurdos y esa me venía bien.:picard1:

V1
Target: Juan_scaled
Distance: 3.5563% / 0.03556308
51.8 Iberia_Northeast_c.6-8CE_ES
42.2 CHE_IA
6.0 MAR_Taforalt

V2
Target: Juan_scaled
Distance: 3.1372% / 0.03137186
94.6 Iberia_Northeast_c.8-12CE
2.8 MAR_Taforalt
2.6 CHE_IA

Le añado Etruscan por que suele irme bien, aún así no baja de 3%.

V3
Target: Juan_scaled
Distance: 3.0897% / 0.03089747
70.0 Iberia_Northeast_c.8-12CE
25.0 ITA_Etruscan
3.8 MAR_Taforalt
1.2 Bell_Beaker_England_EBA

[gixajo]

Hubiera sido mejor dejar deberes con el siguiente enunciado:


Intentad modelaros con un resultado con una distancia menor de 2 con solo 3 muestras antiguas

[Damião de Góis]

Consigo baixar um pouco com o outro Iberia Northeast e com os Bell Beakers. Penso que no meu caso seria melhor um Iberia Southwest ou mesmo Iberia Northwest da idade do ferro.
De onde é o CHE_IA?

Target: Gil_Vicente
Distance: 2.6032% / 0.02603235
56.4 Iberia_Northeast_c.8-12CE
24.6 CHE_IA
15.0 Bell_Beaker_Scotland
4.0 MAR_Taforalt

[Defcon2]

Hubiera sido mejor dejar deberes con el siguiente enunciado:

Dudo que pueda bajar de 2, y el iberia northeast ese "antiguo" que estamos usando es prácticamente un castellano leonés actual.

[PT Tagus]

Intento de modelar españoles y portugueses con solo 3 samples viejunos. Lo siento.:picard1:

Deberíamos obtener todos los españoles y portugueses distancias menores de 2 con esto:


MAR_Taforalt,-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
Iberia_Northeast_c.6-8CE_ES,0.118376,0.1457285,0.0446885,0.013566,0.044 6235,-0.000139,0.0005875,0.007615,0.024441,0.0266065,-0.0080385,0.008917,-0.0064665,-0.006675,0.012079,0.002055,-0.008279,0.004371,-0.000754,0.0027515,-0.0004995,-0.0009275,-0.0056695,0.00241,-0.0022755
CHE_IA,0.125205,0.153345,0.050534,-0.003876,0.049548,-0.005578,0.0047,-0.002077,0.014726,0.033896,0.001786,0.016335,-0.016353,-0.008945,0.001764,-0.001591,0.009518,0.001647,0.002514,-0.006128,0.005241,0.005688,-0.012078,-0.004338,0.000958


Target: Endovelicus_scaled
Distance: 3.0646% / 0.03064623
47.0 Iberia_Northeast_c.6-8CE_ES
45.4 CHE_IA
7.6 MAR_Taforalt

Que amostra é CHE_IA?

[gixajo]

Dudo que pueda bajar de 2, y el iberia northeast ese "antiguo" que estamos usando es prácticamente un castellano leonés actual.

Pues yo bajé de 2, y usé los average pop portugués, el de Castilla y León , Extremadura y la media catalana, y todos bajaban de 2, el único que era poco más de 3 era el sample de Basque_Spanish, por eso pensé que los tres primeros eran suficientes.

igual como estuve un rato poniendo y quitando samples en el mismo calculador, me despisté ?

Voy a probarlo, igual es eso.

[gixajo]

Target: Spanish_Murcia
Distance: 1.8690% / 0.01868999
59.2 CHE_IA
36.0 Iberia_Northeast_c.6-8CE_ES
4.8 MAR_Taforalt

Target: Spanish_Menorca
Distance: 1.9806% / 0.01980611
59.2 CHE_IA
38.0 Iberia_Northeast_c.6-8CE_ES
2.8 MAR_Taforalt

Target: Spanish_Mallorca
Distance: 1.5999% / 0.01599933
51.6 Iberia_Northeast_c.6-8CE_ES
46.8 CHE_IA
1.6 MAR_Taforalt

Target: Spanish_Extremadura
Distance: 1.7639% / 0.01763850
48.0 CHE_IA
46.4 Iberia_Northeast_c.6-8CE_ES
5.6 MAR_Taforalt

Target: Spanish_Cataluna
Distance: 1.2819% / 0.01281941
49.4 CHE_IA
48.0 Iberia_Northeast_c.6-8CE_ES
2.6 MAR_Taforalt

Target: Spanish_Castilla_Y_Leon
Distance: 1.6262% / 0.01626168
58.8 Iberia_Northeast_c.6-8CE_ES
36.6 CHE_IA
4.6 MAR_Taforalt

Target: Spanish_Castilla_La_Mancha
Distance: 1.7095% / 0.01709548
51.2 CHE_IA
46.0 Iberia_Northeast_c.6-8CE_ES
2.8 MAR_Taforalt

Target: Portuguese
Distance: 1.4314% / 0.01431421
47.8 CHE_IA
46.6 Iberia_Northeast_c.6-8CE_ES
5.6 MAR_Taforalt

Target: gixajo_scaled
Distance: 1.6105% / 0.01610547
62.2 Iberia_Northeast_c.6-8CE_ES
36.4 CHE_IA
1.4 MAR_Taforalt


Y probé que no funcionara:


Target: Spanish_Pais_Vasco
Distance: 3.0093% / 0.03009301
60.0 Iberia_Northeast_c.6-8CE_ES
40.0 CHE_IA

Target: Spanish_Navarra
Distance: 2.1978% / 0.02197780
52.2 Iberia_Northeast_c.6-8CE_ES
46.2 CHE_IA
1.6 MAR_Taforalt

[Pedro Ruben]

Target: Pedro_scaled
Distance: 3.0599% / 0.03059927
61.2 Iberia_Northeast_c.6-8CE_ES
30.8 CHE_IA
8.0 MAR_Taforalt

[Damião de Góis]

Que amostra é CHE_IA?

Che_Guevara_Iron_Age

[Defcon2]

Che_Guevara_Iron_Age

My closest ancient sample is SPARTAN_LeonidasI_Thermopylae:480BC :D

[PT Tagus]

Che_Guevara_Iron_Age

https://media.giphy.com/media/W3CLbW0KY3RtjsqtYO/giphy.gif

:rofl:

[gixajo]

Acabo de ver que los resultados de mi padre están listos, no los he visto aún.

¿Hacemos una porra?;)

Esta es mi apuesta:

88% Ibérico, 7% Italiano, 3% Norteafricano, 2% Balcánico.

[gixajo]

No he podido resistirme.

:eek:

:eek2:

[mitalit]

Acabo de ver que los resultados de mi padre están listos, no los he visto aún.

¿Hacemos una porra?;)

Esta es mi apuesta:

88% Ibérico, 7% Italiano, 3% Norteafricano, 2% Balcánico.

90% iberico, 6% italiano, 2 frances, 1 judio
y los de tu madre?? postealo que ilusion jaja

[gixajo]

90% iberico, 6% italiano, 2 frances, 1 judio
y los de tu madre?? postealo que ilusion jaja

Los de mi madre aún están sin procesar, no creo que tarden mucho, pero llevan un retraso de cosa de dos días respecto a el de mi padre. El correo avisándome es de las 21:30 de hoy.

Estoy subiendo el raw data a Gedmatch.

[Rocinante]

Quiero ver YSEQ, K15, K36 ya mismo!

[mitalit]

Los de mi madre aún están sin procesar, no creo que tarden mucho, pero llevan un retraso de cosa de dos días respecto a el de mi padre. El correo avisándome es de las 21:30 de hoy.

Estoy subiendo el raw data a Gedmatch.

Pon el haplo y los resultados no te hagas de rogar amijo

[gixajo]

Abro hilo nuevo o pongo aquí todo?

Ya tengo subí el raw data a gedmatch.

[mitalit]

Abro hilo nuevo o pongo aquí todo?

Ya tengo subí el raw data a gedmatch.

Haz un hilo

[gixajo]

Aquí lo dejo:

https://www.theapricity.com/forum/showthread.php?325305-Gixajo-father-results&p=6749977#post6749977

[Defcon2]

Calcu-pastiche pero es lo que hay, podríamos intentar hacer uno entre todos que cubra todos los periodos históricos de España y la peninsula.


Romano:ITA_Rome_Imperial,0.1039821,0.1495156,-0.0235307,-0.0574065,0.0045265,-0.0204055,-0.0011946,-0.0051488,0.0006604,0.0196549,0.0034575,0.0025539,-0.0040602,-0.0014737,-0.0081715,-0.0014474,0.0035992,0.000454,0.0012178,-0.0032854,-0.0025579,0.0020454,-0.0006985,-0.0004845,0.0004141
Almoravide:MAR_Taforalt,-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
Celtíbero:Iberia_North_IA,0.125205,0.1431895,0.065 053,0.0114665,0.058011,0.003347,-0.0034075,0.0045,0.026077,0.034989,-0.002192,0.0088425,-0.0169475,-0.0085325,0.0107215,6.65e-05,-0.008279,0.0008865,-0.000126,-0.00075,0.0082355,0.0023495,-0.0070865,-0.0118085,-0.0061075
Visigodo,0.12662825,0.136081,0.04714025,0.0250325, 0.034237,0.009064,0.0059925,0.0054805,0.00480625,0 .00574025,-0.007145,0.004121,-0.010852,-0.00536725,0.00339275,0.00440875,0.0075295,0.00481 425,0.00078575,0.00740975,0.006551,0.00102025,-0.002126,0.00659725,-0.003323
Cartaginés:ITA_Sardinia_Punic,0.0795134,0.1579873, 0.012391,-0.0638156,0.0412384,-0.0280086,-0.0088966,0.0012526,0.0387426,0.0475637,0.0031781, 0.0010707,-0.0048633,-0.0122287,-0.0029276,-0.0048679,0.0030734,-0.005737,-0.0058001,-0.0065389,-0.0079324,-0.0094509,0.0016023,-0.0119636,0.0051663
Corona_Castellana,0.11160965,0.1455309,0.04288695, 0.00069088,0.04587175,-0.00285858,-0.00375345,0.00397103,0.02567633,0.03133453,-0.00333353,0.0075787,-0.01559083,-0.0125351,0.01172078,-0.00442718,-0.00761113,-0.00033958,-0.00509413,-0.00224233,0.0027036,-0.00228068,-0.00176298,-0.0016736,0.00142353
Corona_Aragonesa,0.1191831,0.14645989,0.04160343,0 .00074048,0.04520211,-0.00064633,-0.00122714,0.00232275,0.02319292,0.03345229,-0.00287268,0.00859119,-0.01579023,-0.01272138,0.01008395,0.00025091,-0.00238241,-0.00021987,-0.00149904,-0.00084847,0.00404733,-0.00018416,-0.00253481,-0.00227678,0.00062552


Target: Juan_scaled
Distance: 2.8523% / 0.02852253
91.8 Corona_Castellana
4.0 Romano
2.4 Cartaginés
1.8 Almoravide

[mitalit]

Target: Xabier_scaled
Distance: 2.3151% / 0.02315131
66.4 Corona_Aragonesa
30.0 Visigodo
2.2 Almoravide
1.4 Romano

[Pedro Ruben]

Target: Pedro_scaled
Distance: 2.4618% / 0.02461790
71.2 Corona_Castellana
16.6 Visigodo
6.6 Romano
5.4 Almoravide
0.2 Celtíbero

[PT Tagus]

Calcu-pastiche pero es lo que hay, podríamos intentar hacer uno entre todos que cubra todos los periodos históricos de España y la peninsula.


Romano:ITA_Rome_Imperial,0.1039821,0.1495156,-0.0235307,-0.0574065,0.0045265,-0.0204055,-0.0011946,-0.0051488,0.0006604,0.0196549,0.0034575,0.0025539,-0.0040602,-0.0014737,-0.0081715,-0.0014474,0.0035992,0.000454,0.0012178,-0.0032854,-0.0025579,0.0020454,-0.0006985,-0.0004845,0.0004141
Almoravide:MAR_Taforalt,-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
Celtíbero:Iberia_North_IA,0.125205,0.1431895,0.065 053,0.0114665,0.058011,0.003347,-0.0034075,0.0045,0.026077,0.034989,-0.002192,0.0088425,-0.0169475,-0.0085325,0.0107215,6.65e-05,-0.008279,0.0008865,-0.000126,-0.00075,0.0082355,0.0023495,-0.0070865,-0.0118085,-0.0061075
Visigodo,0.12662825,0.136081,0.04714025,0.0250325, 0.034237,0.009064,0.0059925,0.0054805,0.00480625,0 .00574025,-0.007145,0.004121,-0.010852,-0.00536725,0.00339275,0.00440875,0.0075295,0.00481 425,0.00078575,0.00740975,0.006551,0.00102025,-0.002126,0.00659725,-0.003323
Cartaginés:ITA_Sardinia_Punic,0.0795134,0.1579873, 0.012391,-0.0638156,0.0412384,-0.0280086,-0.0088966,0.0012526,0.0387426,0.0475637,0.0031781, 0.0010707,-0.0048633,-0.0122287,-0.0029276,-0.0048679,0.0030734,-0.005737,-0.0058001,-0.0065389,-0.0079324,-0.0094509,0.0016023,-0.0119636,0.0051663
Corona_Castellana,0.11160965,0.1455309,0.04288695, 0.00069088,0.04587175,-0.00285858,-0.00375345,0.00397103,0.02567633,0.03133453,-0.00333353,0.0075787,-0.01559083,-0.0125351,0.01172078,-0.00442718,-0.00761113,-0.00033958,-0.00509413,-0.00224233,0.0027036,-0.00228068,-0.00176298,-0.0016736,0.00142353
Corona_Aragonesa,0.1191831,0.14645989,0.04160343,0 .00074048,0.04520211,-0.00064633,-0.00122714,0.00232275,0.02319292,0.03345229,-0.00287268,0.00859119,-0.01579023,-0.01272138,0.01008395,0.00025091,-0.00238241,-0.00021987,-0.00149904,-0.00084847,0.00404733,-0.00018416,-0.00253481,-0.00227678,0.00062552


Target: Juan_scaled
Distance: 2.8523% / 0.02852253
91.8 Corona_Castellana
4.0 Romano
2.4 Cartaginés
1.8 Almoravide


Target: Endovelicus_scaled
Distance: 2.5322% / 0.02532167
38.4 Corona_Castellana
30.2 Celtíbero
21.2 Romano
5.4 Visigodo
4.8 Almoravide


Distance to: Endovelicus_scaled
0.03503456 Corona_Castellana
0.04084601 Corona_Aragonesa
0.06148783 Celtíbero:Iberia_North_IA
0.06989602 Visigodo
0.07925756 Cartaginés:ITA_Sardinia_Punic
0.09407429 Romano:ITA_Rome_Imperial
0.42714547 Almoravide:MAR_Taforalt

[gixajo]

Calcu-pastiche pero es lo que hay, podríamos intentar hacer uno entre todos que cubra todos los periodos históricos de España y la peninsula.


Romano:ITA_Rome_Imperial,0.1039821,0.1495156,-0.0235307,-0.0574065,0.0045265,-0.0204055,-0.0011946,-0.0051488,0.0006604,0.0196549,0.0034575,0.0025539,-0.0040602,-0.0014737,-0.0081715,-0.0014474,0.0035992,0.000454,0.0012178,-0.0032854,-0.0025579,0.0020454,-0.0006985,-0.0004845,0.0004141
Almoravide:MAR_Taforalt,-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
Celtíbero:Iberia_North_IA,0.125205,0.1431895,0.065 053,0.0114665,0.058011,0.003347,-0.0034075,0.0045,0.026077,0.034989,-0.002192,0.0088425,-0.0169475,-0.0085325,0.0107215,6.65e-05,-0.008279,0.0008865,-0.000126,-0.00075,0.0082355,0.0023495,-0.0070865,-0.0118085,-0.0061075
Visigodo,0.12662825,0.136081,0.04714025,0.0250325, 0.034237,0.009064,0.0059925,0.0054805,0.00480625,0 .00574025,-0.007145,0.004121,-0.010852,-0.00536725,0.00339275,0.00440875,0.0075295,0.00481 425,0.00078575,0.00740975,0.006551,0.00102025,-0.002126,0.00659725,-0.003323
Cartaginés:ITA_Sardinia_Punic,0.0795134,0.1579873, 0.012391,-0.0638156,0.0412384,-0.0280086,-0.0088966,0.0012526,0.0387426,0.0475637,0.0031781, 0.0010707,-0.0048633,-0.0122287,-0.0029276,-0.0048679,0.0030734,-0.005737,-0.0058001,-0.0065389,-0.0079324,-0.0094509,0.0016023,-0.0119636,0.0051663
Corona_Castellana,0.11160965,0.1455309,0.04288695, 0.00069088,0.04587175,-0.00285858,-0.00375345,0.00397103,0.02567633,0.03133453,-0.00333353,0.0075787,-0.01559083,-0.0125351,0.01172078,-0.00442718,-0.00761113,-0.00033958,-0.00509413,-0.00224233,0.0027036,-0.00228068,-0.00176298,-0.0016736,0.00142353
Corona_Aragonesa,0.1191831,0.14645989,0.04160343,0 .00074048,0.04520211,-0.00064633,-0.00122714,0.00232275,0.02319292,0.03345229,-0.00287268,0.00859119,-0.01579023,-0.01272138,0.01008395,0.00025091,-0.00238241,-0.00021987,-0.00149904,-0.00084847,0.00404733,-0.00018416,-0.00253481,-0.00227678,0.00062552




Target: gixajo_scaled
Distance: 1.6003% / 0.01600312
82.6 Corona_Aragonesa
16.6 Celtíbero
0.4 Almoravide
0.2 Romano
0.2 Visigodo

:rolleyes:

https://i.imgur.com/aYgo0wY.jpg

[gixajo]

Los resultados de mi madre están a punto caramelo.

¿Nueva porra?

96.8% Ibérica 3.2% Noroeste de Europa.

Me da que no da 100% como creía antes de tener los resultados de mi padre.

[gixajo]

No puede faltar mucho.

https://i.imgur.com/2L72HT0.png

[Defcon2]

No puede faltar mucho.


Qué recuerdos, estuve nervioso la primera vez.

[mitalit]

Los resultados de mi madre están a punto caramelo.

¿Nueva porra?

96.8% Ibérica 3.2% Noroeste de Europa.

Me da que no da 100% como creía antes de tener los resultados de mi padre.
Okay, por 1 centimo de euro apuesto por que tu madre no es tu madre

[Defcon2]

Okay, por 1 centimo de euro apuesto por que tu madre no es tu madre

Añado medio céntimo más apostando que su madre en realidad no es una mujer y por tanto no pudo parirlo. Eso sí que sería una sorpresa.

[gixajo]

Añado medio céntimo más apostando que su madre en realidad no es una mujer y por tanto no pudo parirlo. Eso sí que sería una sorpresa.

No puedo seguir vuestras apuestas, son demasiado altas.


Okay, por 1 centimo de euro apuesto por que tu madre no es tu madre

Mi padre me parió, soy un hijo secreto suyo.

Yo en realidad nací así:


https://www.youtube.com/watch?v=JakK5YWNfWk

[mitalit]

No puedo seguir vuestras apuestas, son demasiado altas.



Mi padre me parió, soy un hijo secreto suyo.

Yo en realidad nací así:


https://www.youtube.com/watch?v=JakK5YWNfWk

Que suerte, yo me agoste

[gixajo]

Que suerte, yo me agoste

Pero me arrancó antes de tiempo y me quedé cojo de un pie.

[gixajo]

Creo que no puse el mapa del k36 de mi padre.

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

Y ya puestos pongo el mío para comparar:

https://i.imgur.com/hRx4r1J.png

[gixajo]

Pues ya tengo los resultados de mi madre...

[Rocinante]

Creo que no puse el mapa del k36 de mi padre.

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

Y ya puestos pongo el mío para comparar:

https://i.imgur.com/hRx4r1J.png


Pues ya tengo los resultados de mi madre...

Tu eres mas vasco que tu padre, por muy poco, lo que significa, y tiene sentido, que el aporte vasco de tu madre sera mayor. Enhorabuena tio.

Ahora, crea el thread de los resultados, venga!

[gixajo]

Bueeeeno...:picard1:
Estimación de MH.
https://i.imgur.com/uUdoQ5f.png
K13
Admix Results (sorted):

# Population Percent
1 North_Atlantic 45.20
2 West_Med 29.98
3 Baltic 11.73
4 East_Med 8.19
5 Red_Sea 2.57
6 Sub-Saharan 1.17


Finished reading population data. 204 populations found.
13 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Southwest_French @ 4.184535
2 Spanish_Cantabria @ 4.508697
3 Spanish_Aragon @ 5.694510
4 Spanish_Castilla_La_Mancha @ 7.285783
5 Spanish_Castilla_Y_Leon @ 8.128925
6 Spanish_Cataluna @ 8.242651
7 Spanish_Valencia @ 8.857804
8 Spanish_Galicia @ 9.141484
9 Spanish_Murcia @ 9.802100
10 Spanish_Andalucia @ 10.178864
11 Spanish_Extremadura @ 10.428010
12 Portuguese @ 10.448254
13 French_Basque @ 12.427133
14 French @ 13.439066
15 South_Dutch @ 18.799765
16 North_Italian @ 19.487694
17 West_German @ 20.044811
18 Southwest_English @ 20.810539
19 Southeast_English @ 21.333063
20 Orcadian @ 23.738483

Using 2 populations approximation:
1 50% French_Basque +50% Spanish_Galicia @ 3.314202


Using 3 populations approximation:
1 50% French_Basque +25% Spanish_Galicia +25% Spanish_Galicia @ 3.314202


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++
1 French_Basque + Southwest_French + Southwest_French + Spanish_Castilla_Y_Leon @ 2.358597
2 French_Basque + Southwest_French + Southwest_French + Spanish_Galicia @ 2.377140
3 French_Basque + Southwest_French + Spanish_Cantabria + Spanish_Galicia @ 2.483349
4 French_Basque + Southwest_French + Spanish_Cantabria + Spanish_Castilla_Y_Leon @ 2.497691
5 French_Basque + Portuguese + Southwest_French + Southwest_French @ 2.525757
6 French_Basque + Southwest_French + Southwest_French + Spanish_Cataluna @ 2.544287
7 French_Basque + Southwest_French + Spanish_Cantabria + Spanish_Cantabria @ 2.570020
8 French_Basque + Southwest_French + Spanish_Cantabria + Spanish_Cataluna @ 2.580953
9 French_Basque + Spanish_Cantabria + Spanish_Cantabria + Spanish_Cantabria @ 2.699245
10 French_Basque + Southwest_French + Southwest_French + Spanish_Cantabria @ 2.699492
11 French_Basque + Portuguese + Southwest_French + Spanish_Cantabria @ 2.752028
12 French_Basque + Southwest_French + Southwest_French + Spanish_Murcia @ 2.752836
13 French + French_Basque + Southwest_French + Spanish_Aragon @ 2.768519
14 French_Basque + Southwest_French + Spanish_Aragon + Spanish_Galicia @ 2.781211
15 French_Basque + Southwest_French + Southwest_French + Spanish_Valencia @ 2.801213
16 French_Basque + Spanish_Cantabria + Spanish_Cantabria + Spanish_Galicia @ 2.806288
17 French + French_Basque + Southwest_French + Spanish_Cantabria @ 2.825404
18 French_Basque + Southwest_French + Spanish_Cataluna + Spanish_Galicia @ 2.853733
19 French_Basque + Southwest_French + Southwest_French + Spanish_Extremadura @ 2.856899
20 French_Basque + Southwest_French + Spanish_Castilla_Y_Leon + Spanish_Galicia @ 2.868630
K15
Admix Results (sorted):

# Population Percent
1 Atlantic 37.78
2 West_Med 22.72
3 North_Sea 18.64
4 Baltic 7.28
5 East_Med 6.17
6 Eastern_Euro 3.26
7 Red_Sea 2.54
8 Sub-Saharan 1.02
9 Oceanian 0.41
10 South_Asian 0.18

Single Population Sharing:

# Population (source) Distance
1 Spanish_Aragon 4.44
2 Southwest_French 4.52
3 Spanish_Cantabria 5.8
4 Spanish_Castilla_La_Mancha 6.41
5 Spanish_Valencia 6.65
6 French_Basque 8.22
7 Spanish_Castilla_Y_Leon 8.39
8 Spanish_Andalucia 8.42
9 Spanish_Cataluna 8.76
10 Spanish_Murcia 9.18
11 Spanish_Extremadura 9.95
12 Portuguese 11.09
13 Spanish_Galicia 12.42
14 French 15.32
15 North_Italian 15.92
16 South_Dutch 18.33
17 Southwest_English 20.34
18 Southeast_English 21.42
19 Tuscan 21.9
20 Austrian 22.63

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.6% French_Basque + 49.4% Spanish_Castilla_Y_Leon @ 2.48
2 51.8% French_Basque + 48.2% Spanish_Cataluna @ 2.69
3 61% French_Basque + 39% Spanish_Galicia @ 2.78
4 68.7% Southwest_French + 31.3% French_Basque @ 2.83
5 58.2% French_Basque + 41.8% Portuguese @ 2.87
6 60.8% Spanish_Cantabria + 39.2% French_Basque @ 3.06
7 55.4% French_Basque + 44.6% Spanish_Extremadura @ 3.06
8 53.2% French_Basque + 46.8% Spanish_Murcia @ 3.13
9 70.8% Spanish_Aragon + 29.2% French_Basque @ 3.16
10 56.5% Spanish_Valencia + 43.5% French_Basque @ 3.19
11 58.3% Spanish_Castilla_La_Mancha + 41.7% French_Basque @ 3.64
12 76.8% French_Basque + 23.2% Serbian @ 3.81
13 68% French_Basque + 32% North_Italian @ 3.84
14 51.6% Spanish_Aragon + 48.4% Southwest_French @ 3.87
15 67.2% French_Basque + 32.8% French @ 3.93
16 80.1% French_Basque + 19.9% Greek_Thessaly @ 4
17 78.2% French_Basque + 21.8% Romanian @ 4.04
18 50.8% French_Basque + 49.2% Spanish_Andalucia @ 4.08
19 78.4% French_Basque + 21.6% Hungarian @ 4.09
20 94.5% Spanish_Aragon + 5.5% Irish @ 4.24

K36
Population
Amerindian -
Arabian -
Armenian -
Basque 14.07 Pct
Central_African -
Central_Euro -
East_African -
East_Asian -
East_Balkan 2.08 Pct
East_Central_Asian -
East_Central_Euro 6.72 Pct
East_Med -
Eastern_Euro 0.08 Pct
Fennoscandian 0.42 Pct
French 5.26 Pct
Iberian 30.38 Pct
Indo-Chinese -
Italian 8.40 Pct
Malayan -
Near_Eastern 2.16 Pct
North_African 1.91 Pct
North_Atlantic 13.48 Pct
North_Caucasian -
North_Sea 6.64 Pct
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural 0.43 Pct
West_African -
West_Caucasian -
West_Med 7.92 Pct

[Rocinante]

Bueeeeno...:picard1:
Estimación de MH.
https://i.imgur.com/uUdoQ5f.png
K13
Admix Results (sorted):

# Population Percent
1 North_Atlantic 45.20
2 West_Med 29.98
3 Baltic 11.73
4 East_Med 8.19
5 Red_Sea 2.57
6 Sub-Saharan 1.17


Finished reading population data. 204 populations found.
13 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 Southwest_French @ 4.184535
2 Spanish_Cantabria @ 4.508697
3 Spanish_Aragon @ 5.694510
4 Spanish_Castilla_La_Mancha @ 7.285783
5 Spanish_Castilla_Y_Leon @ 8.128925
6 Spanish_Cataluna @ 8.242651
7 Spanish_Valencia @ 8.857804
8 Spanish_Galicia @ 9.141484
9 Spanish_Murcia @ 9.802100
10 Spanish_Andalucia @ 10.178864
11 Spanish_Extremadura @ 10.428010
12 Portuguese @ 10.448254
13 French_Basque @ 12.427133
14 French @ 13.439066
15 South_Dutch @ 18.799765
16 North_Italian @ 19.487694
17 West_German @ 20.044811
18 Southwest_English @ 20.810539
19 Southeast_English @ 21.333063
20 Orcadian @ 23.738483

Using 2 populations approximation:
1 50% French_Basque +50% Spanish_Galicia @ 3.314202


Using 3 populations approximation:
1 50% French_Basque +25% Spanish_Galicia +25% Spanish_Galicia @ 3.314202


Using 4 populations approximation:
++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++
1 French_Basque + Southwest_French + Southwest_French + Spanish_Castilla_Y_Leon @ 2.358597
2 French_Basque + Southwest_French + Southwest_French + Spanish_Galicia @ 2.377140
3 French_Basque + Southwest_French + Spanish_Cantabria + Spanish_Galicia @ 2.483349
4 French_Basque + Southwest_French + Spanish_Cantabria + Spanish_Castilla_Y_Leon @ 2.497691
5 French_Basque + Portuguese + Southwest_French + Southwest_French @ 2.525757
6 French_Basque + Southwest_French + Southwest_French + Spanish_Cataluna @ 2.544287
7 French_Basque + Southwest_French + Spanish_Cantabria + Spanish_Cantabria @ 2.570020
8 French_Basque + Southwest_French + Spanish_Cantabria + Spanish_Cataluna @ 2.580953
9 French_Basque + Spanish_Cantabria + Spanish_Cantabria + Spanish_Cantabria @ 2.699245
10 French_Basque + Southwest_French + Southwest_French + Spanish_Cantabria @ 2.699492
11 French_Basque + Portuguese + Southwest_French + Spanish_Cantabria @ 2.752028
12 French_Basque + Southwest_French + Southwest_French + Spanish_Murcia @ 2.752836
13 French + French_Basque + Southwest_French + Spanish_Aragon @ 2.768519
14 French_Basque + Southwest_French + Spanish_Aragon + Spanish_Galicia @ 2.781211
15 French_Basque + Southwest_French + Southwest_French + Spanish_Valencia @ 2.801213
16 French_Basque + Spanish_Cantabria + Spanish_Cantabria + Spanish_Galicia @ 2.806288
17 French + French_Basque + Southwest_French + Spanish_Cantabria @ 2.825404
18 French_Basque + Southwest_French + Spanish_Cataluna + Spanish_Galicia @ 2.853733
19 French_Basque + Southwest_French + Southwest_French + Spanish_Extremadura @ 2.856899
20 French_Basque + Southwest_French + Spanish_Castilla_Y_Leon + Spanish_Galicia @ 2.868630
K15
Admix Results (sorted):

# Population Percent
1 Atlantic 37.78
2 West_Med 22.72
3 North_Sea 18.64
4 Baltic 7.28
5 East_Med 6.17
6 Eastern_Euro 3.26
7 Red_Sea 2.54
8 Sub-Saharan 1.02
9 Oceanian 0.41
10 South_Asian 0.18

Single Population Sharing:

# Population (source) Distance
1 Spanish_Aragon 4.44
2 Southwest_French 4.52
3 Spanish_Cantabria 5.8
4 Spanish_Castilla_La_Mancha 6.41
5 Spanish_Valencia 6.65
6 French_Basque 8.22
7 Spanish_Castilla_Y_Leon 8.39
8 Spanish_Andalucia 8.42
9 Spanish_Cataluna 8.76
10 Spanish_Murcia 9.18
11 Spanish_Extremadura 9.95
12 Portuguese 11.09
13 Spanish_Galicia 12.42
14 French 15.32
15 North_Italian 15.92
16 South_Dutch 18.33
17 Southwest_English 20.34
18 Southeast_English 21.42
19 Tuscan 21.9
20 Austrian 22.63

Mixed Mode Population Sharing:

# Primary Population (source) Secondary Population (source) Distance
1 50.6% French_Basque + 49.4% Spanish_Castilla_Y_Leon @ 2.48
2 51.8% French_Basque + 48.2% Spanish_Cataluna @ 2.69
3 61% French_Basque + 39% Spanish_Galicia @ 2.78
4 68.7% Southwest_French + 31.3% French_Basque @ 2.83
5 58.2% French_Basque + 41.8% Portuguese @ 2.87
6 60.8% Spanish_Cantabria + 39.2% French_Basque @ 3.06
7 55.4% French_Basque + 44.6% Spanish_Extremadura @ 3.06
8 53.2% French_Basque + 46.8% Spanish_Murcia @ 3.13
9 70.8% Spanish_Aragon + 29.2% French_Basque @ 3.16
10 56.5% Spanish_Valencia + 43.5% French_Basque @ 3.19
11 58.3% Spanish_Castilla_La_Mancha + 41.7% French_Basque @ 3.64
12 76.8% French_Basque + 23.2% Serbian @ 3.81
13 68% French_Basque + 32% North_Italian @ 3.84
14 51.6% Spanish_Aragon + 48.4% Southwest_French @ 3.87
15 67.2% French_Basque + 32.8% French @ 3.93
16 80.1% French_Basque + 19.9% Greek_Thessaly @ 4
17 78.2% French_Basque + 21.8% Romanian @ 4.04
18 50.8% French_Basque + 49.2% Spanish_Andalucia @ 4.08
19 78.4% French_Basque + 21.6% Hungarian @ 4.09
20 94.5% Spanish_Aragon + 5.5% Irish @ 4.24

K36
Population
Amerindian -
Arabian -
Armenian -
Basque 14.07 Pct
Central_African -
Central_Euro -
East_African -
East_Asian -
East_Balkan 2.08 Pct
East_Central_Asian -
East_Central_Euro 6.72 Pct
East_Med -
Eastern_Euro 0.08 Pct
Fennoscandian 0.42 Pct
French 5.26 Pct
Iberian 30.38 Pct
Indo-Chinese -
Italian 8.40 Pct
Malayan -
Near_Eastern 2.16 Pct
North_African 1.91 Pct
North_Atlantic 13.48 Pct
North_Caucasian -
North_Sea 6.64 Pct
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian -
South_Central_Asian -
South_Chinese -
Volga-Ural 0.43 Pct
West_African -
West_Caucasian -
West_Med 7.92 Pct



Hostia macho :lmao!!! 100% iberica, madre mia!

Pero si somos unos jodidos monos en comparacion hombre...

[gixajo]

Ahora tiene más sentido todo!!!

Mapa del K36

https://i.imgur.com/R7JpPax.png

[gixajo]

Hostia macho :lmao!!! 100% iberica, madre mia!

Pero si somos unos jodidos monos en comparacion hombre...

Yo pensé que no llegaría por muy poco.

Aún así plotearía más como Navarrica que como vasca, nos ha ganado por poco en el K36 a mi padre y a mí.

A ver cuando puedo pedir los G25.

[Rocinante]

Yo pensé que no llegaría por muy poco.

Aún así plotearía más como Navarrica que como vasca, nos ha ganado por poco en el K36 a mi padre y a mí.

A ver cuando puedo pedir los G25.

Que dices, si en los oracles le pone directo como primera opcion Southwest Frech, es demasiado vasca. Ya veras, tu madre tendra como minimo 16 de WHG de Loschbour

[gixajo]

Como no tengo sus G25 a ver las comparaciones del Vahaduo para los k13 y k15, updated.

K13


Target: gixajo
Distance: 1.5808% / 1.58081268
67.8 French_Basque
9.0 Saudi
8.0 Cossacks_Kuban
6.8 Sardinian
6.2 Latvian
1.4 Somali
0.4 Papuan
0.4 Sakilli

Target: gixajo_dad
Distance: 1.0261% / 1.02612051
44.0 French_Basque
20.2 Southwest_French
9.8 Sardinian
8.2 Latvian
6.2 Moroccan
5.6 Saudi
4.8 Algerian
1.0 Yemenite_Jewish
0.2 Papuan

Target: gixajo_mom
Distance: 1.6979% / 1.69791125
45.6 French_Basque
31.0 Spanish_Aragon
7.2 Latvian
6.2 Southwest_French
4.0 Spanish_Galicia
3.2 Swiss_Italian
2.0 Yemenite_Jewish
0.8 Yoruban


Target: gixajo
Distance: 3.3480% / 3.34797355 | ADC: 0.25x
58.6 Southwest_French
25.0 Spanish_Galicia
13.6 French_Basque
2.0 Somali
0.6 Balochi
0.2 Papuan

Target: gixajo_dad
Distance: 2.1897% / 2.18967153 | ADC: 0.25x
52.4 Spanish_Cantabria
19.2 Spanish_Galicia
15.2 Southwest_French
6.6 Moroccan
6.6 Sardinian

Target: gixajo_mom
Distance: 2.1462% / 2.14615770 | ADC: 0.25x
35.4 Southwest_French
33.4 Spanish_Cantabria
18.6 French_Basque
7.6 Spanish_Aragon
4.8 Southwest_English
0.2 Yoruban


Distance to: gixajo
4.47476256 Spanish_Cantabria
4.94969696 Southwest_French
6.53212064 Spanish_Castilla_La_Mancha
6.91217766 Spanish_Galicia
7.33265982 Spanish_Aragon
7.38237089 Spanish_Castilla_Y_Leon
8.40199976 Spanish_Cataluna
8.42181097 Spanish_Extremadura
8.92045402 Portuguese
8.98541596 Spanish_Andalucia
9.14169022 Spanish_Valencia
9.27604981 Spanish_Murcia
12.41451570 AostaValley
13.17520778 French
13.64840650 Swiss-Italian
15.04626864 Swiss_Italian
15.54981029 Piedmont
15.58537776 French_Basque
16.26816831 Swiss_French
16.30778342 Trentino
16.98894346 Lombardy
17.36129027 Veneto
17.72955724 Swiss_German
18.92868194 Friuli-VG
18.97834029 South_Dutch

Distance to: gixajo_dad
5.47158112 Spanish_Galicia
5.63896267 Spanish_Extremadura
5.65494474 Spanish_Castilla_La_Mancha
5.71759565 Spanish_Cantabria
6.39323862 Spanish_Andalucia
6.42649204 Spanish_Castilla_Y_Leon
6.72057289 Portuguese
7.14322756 Spanish_Valencia
7.17960305 Spanish_Murcia
7.45360986 Southwest_French
7.67737585 Spanish_Aragon
8.19502288 Spanish_Cataluna
11.15051568 Swiss-Italian
12.30191042 Piedmont
12.34307093 Swiss_Italian
12.93301976 AostaValley
12.99031947 Lombardy
13.99316976 Trentino
14.50250323 Veneto
15.16349894 French
15.47028765 Liguria
16.42473744 Emilia
16.54350023 Friuli-VG
17.14200397 Swiss_French
17.66732294 Tuscany

Distance to: gixajo_mom
4.17798995 Southwest_French
4.52274253 Spanish_Cantabria
5.70534837 Spanish_Aragon
7.29109731 Spanish_Castilla_La_Mancha
8.12211179 Spanish_Castilla_Y_Leon
8.23931429 Spanish_Cataluna
8.85090956 Spanish_Valencia
9.13772948 Spanish_Galicia
9.79952040 Spanish_Murcia
10.17484152 Spanish_Andalucia
10.42481655 Spanish_Extremadura
10.44518071 Portuguese
12.43723844 French_Basque
13.43407608 French
13.65749245 AostaValley
15.13576889 Swiss-Italian
16.05159494 Swiss_Italian
17.75004789 Swiss_French
17.82006453 Piedmont
18.11902591 Trentino
18.52054805 Swiss_German
18.79839621 South_Dutch
18.93596314 Lombardy
19.52630277 Veneto
20.04284411 West_German

[gixajo]

K15

Target: gixajo
Distance: 3.4839% / 3.48394996
41.4 French_Basque
35.0 Spanish_Galicia
7.8 Ukrainian_Lviv
7.4 Spanish_Castilla_Y_Leon
6.2 Sardinian
1.4 Somali
0.4 North_Ossetian
0.4 Papuan

Target: gixajo_dad
Distance: 2.5346% / 2.53459411
40.8 French_Basque
30.2 Spanish_Castilla_Y_Leon
10.8 Sardinian
8.6 Moroccan
6.6 Lithuanian
3.0 Saudi

Target: gixajo_mom
Distance: 1.9885% / 1.98845072
61.4 French_Basque
11.8 Spanish_Castilla_Y_Leon
7.6 Spanish_Aragon
5.8 West_Norwegian
4.0 Sardinian
3.8 Latvian
2.6 Yemenite_Jewish
2.4 France-South
0.6 Yoruban


Target: gixajo
Distance: 3.8128% / 3.81277721 | ADC: 0.25x
43.6 Southwest_French
40.8 Spanish_Cantabria
14.6 Spanish_Castilla_Y_Leon
1.0 Somali

Target: gixajo_dad
Distance: 3.4028% / 3.40278745 | ADC: 0.25x
53.4 Southwest_French
34.0 Spanish_Aragon
10.8 Moroccan
1.8 Sardinian

Target: gixajo_mom
Distance: 2.3360% / 2.33601446 | ADC: 0.25x
35.0 Southwest_French
32.8 Spanish_Aragon
28.6 French_Basque
3.2 Irish
0.4 Yoruban


Distance to: gixajo
4.33181255 Spanish_Cantabria
4.90172419 Southwest_French
6.25872990 Spanish_Castilla_Y_Leon
6.43763155 Spanish_Aragon
6.44364804 Spanish_Castilla_La_Mancha
7.62068238 Spanish_Valencia
7.75565600 Spanish_Cataluna
8.21763956 Spanish_Andalucia
8.31696459 Spanish_Extremadura
8.74255112 Spanish_Murcia
8.99834429 Portuguese
9.45528424 France-South
9.87673023 Spanish_Galicia
12.68365484 Italy_Piedmont
14.02670311 Italy_Aostavalley
14.81813416 French
14.94477835 French_Basque
15.85601779 Italy_Trentino
16.63125070 Italy_Lombardy
16.63299131 Italy_Veneto
17.15039650 Italy_Friuli
17.94237442 Italy_Liguria
18.17595390 Austria-Tyrol
18.75963752 German_Bavarian
19.16963223 South_Dutch

Distance to: gixajo_dad
5.85457086 Spanish_Andalucia
6.13258510 Spanish_Castilla_La_Mancha
6.31063388 Spanish_Aragon
6.53153887 Spanish_Valencia
6.81593721 Spanish_Cantabria
6.94536536 Southwest_French
7.16129178 Spanish_Castilla_Y_Leon
8.02436913 Spanish_Extremadura
8.19637725 Spanish_Murcia
9.26407038 Spanish_Cataluna
9.63290195 Portuguese
11.32269403 Spanish_Galicia
12.10124787 France-South
13.15144479 Italy_Piedmont
15.90563737 Italy_Lombardy
16.12146395 French_Basque
16.34143507 Italy_Trentino
16.49746041 Italy_Liguria
16.52944645 Italy_Aostavalley
16.55501737 Italy_Veneto
16.72794369 Italy_Friuli
18.06313096 French
18.52499393 Italy_Tuscany
19.01673211 France_Corsica
19.45984327 Italy_Emiliaromagna

Distance to: gixajo_mom
5.08452554 Spanish_Aragon
5.13929956 Southwest_French
6.71973958 Spanish_Cantabria
7.37571014 Spanish_Castilla_La_Mancha
7.77531350 Spanish_Valencia
9.48384416 French_Basque
9.68433787 Spanish_Castilla_Y_Leon
9.82608264 Spanish_Andalucia
10.21733331 Spanish_Cataluna
10.64307756 Spanish_Murcia
11.55112116 Spanish_Extremadura
11.95655887 France-South
12.89467720 Portuguese
14.47389029 Spanish_Galicia
16.38782475 Italy_Piedmont
17.60701281 Italy_Aostavalley
17.75696483 French
19.81302602 Italy_Trentino
20.14161860 Italy_Lombardy
20.56523037 Italy_Veneto
20.96536668 Italy_Friuli
21.05613687 German_Bavarian
21.09348004 South_Dutch
21.57672589 Italy_Liguria
21.76161299 Austria-Tyrol

[gixajo]

Voy a hacer unas cosas, y abriré un thread con todo el resumen.

[gixajo]

Aquí iré poniendo lo que vaya saliendo.

https://www.theapricity.com/forum/showthread.php?325804-Gixajo-mother-results&p=6758654#post6758654

[Defcon2]

Hostia macho :lmao!!! 100% iberica, madre mia!

Pero si somos unos jodidos monos en comparacion hombre...

Sí, estoy dispuesto a pedir la deportación a otro país, no encajo en este.

[gixajo]

Sí, estoy dispuesto a pedir la deportación a otro país, no encajo en este.

Yo tampoco.

Creo que puedo pasar aceptablemente bien en Turquía, Chechenia y Marruecos.

[gixajo]

Mirad la estimación de mi madre de Dnaland.:D

Le dan menos Souhwestern European que a mi padre y a mí:
https://i.imgur.com/1381wQc.png

[Defcon2]

Mirad la estimación de mi madre de Dnaland.:D

Le dan menos Souhwestern European que a mi padre y a mí:
https://i.imgur.com/1381wQc.png

Dna land es peor que MH.

[gixajo]

Dna land es peor que MH.

Y las de LivingDna qué te parecen?

LivingDna results (with MyHeritage raw data).

Me.

https://i.imgur.com/byzWD8E.png

My father.

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

My mother.

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

[mitalit]

Y las de LivingDna qué te parecen?

LivingDna results (with MyHeritage raw data).

Me.

https://i.imgur.com/byzWD8E.png

My father.

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

My mother.

https://i.imgur.com/spHEFIF.png
Has pagado todas esas?

[gixajo]

Has pagado todas esas?

Sí, no pude resistir la curiosidad.:picard1:

Pero cuando le dí a pagar, miré hacia otro lado.

La mía la obtuve gratis en su día, la de mis padres las he pagado.

[mitalit]

Sí, no pude resistir la curiosidad.:picard1:

Pero cuando le dí a pagar, miré hacia otro lado.

La mía la obtuve gratis en su día, la de mis padres las he pagado.

jajaj
Pero la tuya no la obtuviste gratis, recuerdo cuando la pagaste

[gixajo]

jajaj
Pero la tuya no la obtuviste gratis, recuerdo cuando la pagaste

Me suena que una de estas estimaciones mías fué gratis, no sería la de FTDNA la que pagué?

Prefiero no saberlo, la verdad...:picard1:

Menos mal que gracias a mi edad avanzada, olvido cosas.

[gixajo]

Por cierto, el polaco de los G25 respondió mi correo con una respuesta automática que dice que hasta el 1 de Julio no hace G25.

Mejor, con un poco de suerte me dan los resultados los de 23andMe y me hace 3 a la vez.

Hará descuento por pedidos grandes?:p

[mitalit]

Me suena que una de estas estimaciones mías fué gratis, no sería la de FTDNA la que pagué?

Prefiero no saberlo, la verdad...:picard1:

Menos mal que gracias a mi edad avanzada, olvido cosas.
https://www.ecestaticos.com/imagestatic/clipping/25e/e7f/25ee7fd0fe637c2d908cb57f62ebaace/asi-es-la-derecha-pastilla-roja-el-mundo-no-es-un-lugar-seguro-para-los-hombres.jpg?mtime=1579565836


Fue esa lo recuerdo bien jaja, te excusabas diciendo que myheritage te había salido mas barata y tenias mucha intriga en ese componente no europeo. Cuando viste los resultado dijiste algo sobre que tu hermana tenia rasgos asiáticos, yo estuve apunto de pagarlos.

[Rocinante]

Sí, no pude resistir la curiosidad.:picard1:

Pero cuando le dí a pagar, miré hacia otro lado.

La mía la obtuve gratis en su día, la de mis padres las he pagado.

Cuanto es que cuesta la subida de LivingDNA? Quiero pagarlas la verdad... Tengo muchisimas ganas de hacerlo, no miento.

Que por cierto, en la paga de LvingDNA no te arrojaron haplogrupos?

[gixajo]

https://www.ecestaticos.com/imagestatic/clipping/25e/e7f/25ee7fd0fe637c2d908cb57f62ebaace/asi-es-la-derecha-pastilla-roja-el-mundo-no-es-un-lugar-seguro-para-los-hombres.jpg?mtime=1579565836


Fue esa lo recuerdo bien jaja, te excusabas diciendo que myheritage te había salido mas barata y tenias mucha intriga en ese componente no europeo. Cuando viste los resultado dijiste algo sobre que tu hermana tenia rasgos asiáticos, yo estuve apunto de pagarlos.


No sé de qué me hablas, yo no recuerdo nada, te lo estás inventando todo, te voy a denunciar por delito contra mi honor, eso es incierto.

Tiene razón, pero eres un maldito chivato. ¿No ves que me da cargo de conciencia haber pagado por eso e intento disimular? :mad:

[gixajo]

Cuanto es que cuesta la subida de LivingDNA? Quiero pagarlas la verdad... Tengo muchisimas ganas de hacerlo, no miento.

Que por cierto, en la paga de LvingDNA no te arrojaron haplogrupos?

No te dan haplogrupos.

Prefiero no recordar lo que he pagado. ¿Porqué seguís hurgando en la herida?

Demasiado, por las dos estimaciones podría haber comprado otro kit de MH, y me hubiera sobrado casi para pagar otro G25.

[gixajo]

De hecho creo que hacer el test de saliva de LivingDna salía igual ahora mismo que un kit de Myheritage.

[Rocinante]

No te dan haplogrupos.

Prefiero no recordar lo que he pagado. ¿Porqué seguís hurgando en la herida?

Demasiado, por las dos estimaciones podría haber comprado otro kit de MH, y me hubiera sobrado casi para pagar otro G25.

Jajajaja, es enserio tio, cuanto cuesta, venga. Yo quiero hacerlo porque la estimacion que me dieron con la raw data de mierda que tenia, era interesante.

[Defcon2]

€29.00

Mejor invertirlo en frutitas.

[Defcon2]

A mi en Living me saldría West Iberia + East Iberia + Toscano + Cerdeña, chorrada.

[gixajo]

Jajajaja, es enserio tio, cuanto cuesta, venga. Yo quiero hacerlo porque la estimacion que me dieron con la raw data de mierda que tenia, era interesante.


€29.00

Eso.

[gixajo]

Mejor invertirlo en frutitas.

Yo como recojo frutitas en mi huerto, puedo invertirlo en esto.:rolleyes:

[gixajo]

Yo me hice el test hace tiempo, de hecho fue ese el que me dió mi haplogrupo U152 y luego 23andme.

Mis resultados (actualizados) son:

West Iberian, Tuscany, United Kingdom (South Central England, Central England, East Anglia, South England, Cornwall & Aberdeenshire), Ireland, South Caucasus.

Y los porcentajes de cada cuáles son?

[gixajo]

Estos son los resultados actualizados:

]

Y ese 11% South Caucasus tiene algún sentido o forma parte de esos resultados extraños que a veces nos salen de repente?

Por cierto aprovecho para decir a todos que creo que YourDnaPortal ha puesto nuevos calculadores.

https://i.imgur.com/QWrm7Ic.png

[gixajo]

Pues yo no le veo el sentido.

Es más le veo más sentido al North Turkey antes que al South Caucasus.
Sobretodo por lo de la región de Galatia.

Bueno, a mi en LivingDna me dieron un 2.3% del Norte del Cáucaso, con datos en crudo de MH, y a mis padres absolutamente nada, pero yo que sé, tampoco conzoco tus orígenes igual para tí tenían algún sentido.

Lo de yourdnaportal, ya te comenté en el otro hilo, los estoy probando, pero no sé como tomarme lo que veo hasta ahora.

[Defcon2]

Inspirándome en este post: https://www.theapricity.com/forum/showthread.php?326028-My-eurogenes-k15-plot-map-results

Plot de miembros en K15:

https://i.imgur.com/DWAy2H3.jpg

[mitalit]

Inspirándome en este post: https://www.theapricity.com/forum/showthread.php?326028-My-eurogenes-k15-plot-map-results

Plot de miembros en K15:

https://i.imgur.com/DWAy2H3.jpg

que bueno jajaj

[Rocinante]

Inspirándome en este post: https://www.theapricity.com/forum/showthread.php?326028-My-eurogenes-k15-plot-map-results

Plot de miembros en K15:

https://i.imgur.com/DWAy2H3.jpg

El mas sureño en el K15 soy yo, hay que sentirse orgulloso de ser algo en la vida.

[mitalit]

El mas sureño en el K15 soy yo, hay que sentirse orgulloso de ser algo en la vida.

Y el mas norteño (evidentemente) soy y... la madre de gixajo.
Pero esto que es!

[Rocinante]

Y el mas norteño (evidentemente) soy y... la madre de gixajo.
Pero esto que es!

Tu eres el mas norteño, la mas occidental es gixajo Madre, yo soy el mas sureño (me pueden llamar El Moro de ahora en adelante si quieren), y el mas oriental... Tambien soy yo (me pueden llamar El Hebreo de ahora en adelante si quieren).

[mitalit]

Tu eres el mas norteño, la mas occidental es gixajo Madre, yo soy el mas sureño (me pueden llamar El Moro de ahora en adelante si quieren), y el mas oriental... Tambien soy yo (me pueden llamar El Hebreo de ahora en adelante si quieren).

Igual me estoy sobrepasando pero te podría llamar el moro hebreo?

[Rocinante]

Igual me estoy sobrepasando pero te podría llamar el moro hebreo?

Coño tío... No te mides o no me tienes respeto alguno, al parecer.

[mitalit]

Coño tío... No te mides o no me tienes respeto alguno, al parecer.

Bueno, tu yo yo sabemos que para ser el moro hebreo tendrias que tener un e1b como haplo

[Luso]

Inspirándome en este post: https://www.theapricity.com/forum/showthread.php?326028-My-eurogenes-k15-plot-map-results

Plot de miembros en K15:

https://i.imgur.com/DWAy2H3.jpg

you can add me:

North_Sea 20.90 Pct
Atlantic 29.70 Pct
Baltic 6.02 Pct
Eastern_Euro 2.38 Pct
West_Med 20.85 Pct
West_Asian 0.86 Pct
East_Med 10.70 Pct
Red_Sea 3.12 Pct
South_Asian -
Southeast_Asian -
Siberian 0.84 Pct
Amerindian 0.10 Pct
Oceanian -
Northeast_African 3.14 Pct
Sub-Saharan 1.38

[Defcon2]

you can add me:

North_Sea 20.90 Pct
Atlantic 29.70 Pct
Baltic 6.02 Pct
Eastern_Euro 2.38 Pct
West_Med 20.85 Pct
West_Asian 0.86 Pct
East_Med 10.70 Pct
Red_Sea 3.12 Pct
South_Asian -
Southeast_Asian -
Siberian 0.84 Pct
Amerindian 0.10 Pct
Oceanian -
Northeast_African 3.14 Pct
Sub-Saharan 1.38

https://i.imgur.com/Vb95dl2.png

[Rocinante]

Bueno, tu yo yo sabemos que para ser el moro hebreo tendrias que tener un e1b como haplo

Es la verdad... pero no el E1b que tiene Ruderico o Juan, el propio es el ev13. xD

[Rocinante]

Tú siempre serás el puto buen y fiel corcel

Joder tio, por fin alguien que me llama por mi nombre y no un negro-med ev13 como Xabi pretende llamarme, COMO TE QUIERO HOMBRE!

PD: No he contestado ningun PM que me ha mandado nadie, solo vi uno de reojo de Eronkarri y no, para que sepais, Eronkarri no mando nada y era obvio, pero bueno.

[Rocinante]

Mis PMs eran también mandándote resultados de las nuevas calculadoras de YourDNAPortal, seguro que no respondiste porque te viciaste a algún juego

No lo he abierto tío, a pesar de que ando viciao si, pero decidí darle unas vacas al PM.

[Rocinante]

Coño, podrías haber avisado, ya pensaba que me estabas ignorando por ser un pesao xD

No para nada tío, el único PM que cuando llegó a juro lo tenía que ver era el de Eronkarri y bueno, ni le respondí pero mañana pienso hacerlo.

[Helen]

Puedes añadirme?
Soy de la C.Valenciana con un abuelo andaluz y abuela manchega

North_Sea 16.49 Pct
Atlantic 31.42 Pct
Baltic 5.49 Pct
Eastern_Euro 2.67 Pct
West_Med 22.08 Pct
West_Asian 4.15 Pct
East_Med 11.75 Pct
Red_Sea 3.17 Pct
South_Asian-
Southeast_Asian-
Siberian-
Amerindian-
Oceanian 0.67 Pct
Northeast_African 2.06 Pct
Sub-Saharan-




Enviado desde mi Redmi Note 7 mediante Tapatalk

[Defcon2]

Puedes añadirme?
Soy de la C.Valenciana con un abuelo andaluz y abuela manchega

North_Sea 16.49 Pct
Atlantic 31.42 Pct
Baltic 5.49 Pct
Eastern_Euro 2.67 Pct
West_Med 22.08 Pct
West_Asian 4.15 Pct
East_Med 11.75 Pct
Red_Sea 3.17 Pct
South_Asian-
Southeast_Asian-
Siberian-
Amerindian-
Oceanian 0.67 Pct
Northeast_African 2.06 Pct
Sub-Saharan-




Enviado desde mi Redmi Note 7 mediante Tapatalk

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

[Rocinante]

Puedes añadirme?
Soy de la C.Valenciana con un abuelo andaluz y abuela manchega

North_Sea 16.49 Pct
Atlantic 31.42 Pct
Baltic 5.49 Pct
Eastern_Euro 2.67 Pct
West_Med 22.08 Pct
West_Asian 4.15 Pct
East_Med 11.75 Pct
Red_Sea 3.17 Pct
South_Asian-
Southeast_Asian-
Siberian-
Amerindian-
Oceanian 0.67 Pct
Northeast_African 2.06 Pct
Sub-Saharan-




Enviado desde mi Redmi Note 7 mediante Tapatalk

Helen no has pensando en sacar el G25?

[Helen]

Pues me gustaría, pero no sé ni cuanto vale, ni donde se puede comprar, no me he informado, si me lo decís a lo mejor lo pido si no es caro

[Rocinante]

Pues me gustaría, pero no sé ni cuanto vale, ni donde se puede comprar, no me he informado, si me lo decís a lo mejor lo pido si no es caro

Cuesta 12 EUR, mira es sencillo, le mandas un correo a eurogenesblog@gmail.com diciendole que quieres las coordenadas, en inglés claro, y solo ten el paypal a la mano.

[gixajo]

Pues me gustaría, pero no sé ni cuanto vale, ni donde se puede comprar, no me he informado, si me lo decís a lo mejor lo pido si no es caro

Hasta el 1 de Julio no se pone a hacer de nuevo G25 el que los hace, son 12 dólares, pagados por paypal, y tienes que enviarle un correo con el archivo de tus raw data a David Wesolowski al correo : eurogenesblog@gmail.com.

Hace una semana mandé un correo para ver si ya emepzaba a hacerlos, y me envió una respuesta automática prefabricada diciendo que eso, hasta el 1 de Julio nada.

[Helen]

Hasta el 1 de Julio no se pone a hacer de nuevo G25 el que los hace, son 12 dólares, pagados por paypal, y tienes que enviarle un correo con el archivo de tus raw data a David Wesolowski al correo : eurogenesblog@gmail.com.

Hace una semana mandé un correo para ver si ya emepzaba a hacerlos, y me envió una respuesta automática prefabricada diciendo que eso, hasta el 1 de Julio nada.
Ah, gracias, ya estaba yendo a ello, esperaré entonces

[gixajo]

A ver que nos sale, unscaled con todas las muestras antiguas Ibéricas que ví.

https://www.theapricity.com/forum/showthread.php?326146-Only-Ancient-Iberian-Samples-Unscaled-G25-calculator&p=6765475#post6765475

[Helen]

Algo curioso, es que a pesar de solo tener un abuelo andaluz, en las calculadoras me suele aproximar a Andalucía y Extremadura, incluso Portugal, más que Albacete, Alicante o Murcia

[Rocinante]

Algo curioso, es que a pesar de solo tener un abuelo andaluz, en las calculadoras me suele aproximar a Andalucía y Extremadura, incluso Portugal, más que Albacete, Alicante o Murcia

Esto podría cambiar en el G25, por ejemplo mi primer plot en eurogenes siempre era north italian, siempre, y con el G25 me da primero Extremadura y luego Portugal. Es más acordé a lo que soy.

[Helen]

Esto podría cambiar en el G25, por ejemplo mi primer plot en eurogenes siempre era north italian, siempre, y con el G25 me da primero Extremadura y luego Portugal. Es más acordé a lo que soy.Cuando lo tenga ya lo compartiré por aquí, de todas formas mi madre me ha dicho muchas veces que parezco andaluza pero no sé muy bien a que se refiere, no creo que el fenotipo de Córdoba sea muy distinto al de Alicante, pura sugestión

Enviado desde mi Redmi Note 7 mediante Tapatalk

[Rocinante]

Cuando lo tenga ya lo compartiré por aquí, de todas formas mi madre me ha dicho muchas veces que parezco andaluza pero no sé muy bien a que se refiere, no creo que el fenotipo de Córdoba sea muy distinto al de Alicante, pura sugestión

Enviado desde mi Redmi Note 7 mediante Tapatalk

Yo creo que son estereotipos nacionales que se inventa la gente con el tiempo, porque la verdad es muy difícil identificar a una andaluza, a no ser que sea o por el acento (esta es la manera más fácil), o por el bronceado (todas las que vienen a Madrid estan espectacularmente bronceadas). Por cierto las andaluzas, y espero no sonar incongruente, son las más hermosas de este país.

[Helen]

Yo creo que son estereotipos nacionales que se inventa la gente con el tiempo, porque la verdad es muy difícil identificar a una andaluza, a no ser que sea o por el acento (esta es la manera más fácil), o por el bronceado (todas las que vienen a Madrid estan espectacularmente bronceadas). Por cierto las andaluzas, y espero no sonar incongruente, son las más hermosas de este país.

Claro, son los estereotipos, no he estado en el norte de España, pero por estos lares hay un poco de todo.
Encontré este vídeo por si os gusta

https://youtu.be/k-70aIw4THc

[Rocinante]

Claro, son los estereotipos, no he estado en el norte de España, pero por estos lares hay un poco de todo.
Encontré este vídeo por si os gusta

https://youtu.be/k-70aIw4THc

Tienes que ir al Norte de España, es sumamente diferente al Sur por lo que he podido ver, y en estos momentos el clima es mucho mejor :lol: ya en invierno la cosa podria variar.

Que por cierto, el acento que me pone a temblar a mi es el andaluz en una mujer, a mi me encanta, no se porque a varias personas de este pais no les gusta.

[Helen]

Tienes que ir al Norte de España, es sumamente diferente al Sur por lo que he podido ver, y en estos momentos el clima es mucho mejor :lol: ya en invierno la cosa podria variar.

Que por cierto, el acento que me pone a temblar a mi es el andaluz en una mujer, a mi me encanta, no se porque a varias personas de este pais no les gusta.

Lo más al norte que he estado ha sido Madrid, ya he estado tres veces pero nunca me termina de convencer, todo demasiado caro para lo que es...

[Helen]

¿Tú de qué provincia de Andalucía eres?No soy de Andalucía, solo mi abuelo es de Belalcázar un pueblecito de Córdoba, mi familia materna y yo somos de Alicante
Mi padre es andaluz/manchego

Enviado desde mi Redmi Note 7 mediante Tapatalk

[Defcon2]

Western_Europe:France,0.12805369,0.141295,0.049189 51,0.02265938,0.04019089,0.0091258,0.00231129,0.00 329077,0.00976047,0.01500455,-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,0.11450407,0.14694516,0.01230 272,-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
Western_Europe:Spain,0.1144025,0.14661262,0.041578 89,-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,0.1302626,0.1373792,0.057981 1,0.0387068,0.0400035,0.0156461,0.0040665,0.005786 5,0.003526,0.00188,-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,0.1317303,0.13647543,0.06162398,0.0456228 5,0.039644,0.017335,0.00374233,0.0055211,0.0046123 3,0.00454865,-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
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,0.1326987,0.1336267,0.06781 9,0.0563097,0.0393663,0.0229619,0.0033488,0.008518 8,0.0026418,6.07e-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,0.1290754,0.1348622,0.0449528,0.024 8064,0.0312058,0.0098726,0.004841,0.0052152,-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,0.1288476,0.1352686,0.056191,0.03 38504,0.0349602,0.0126616,0.0065332,0.0069688,0.00 31086,-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,0.12475,0.1348622,0.0256442,0.005 3618,0.02462,-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,0.1318405,0.1292694,0.069868 5,0.0577382,0.0406754,0.0217127,0.0086781,0.010862 6,-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, 0.0945317,0.07752,0.02185,0.023241,0.0118287,0.014 6147,0.0013637,-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,0.1309273,0.1240867,0.068 3506,0.0575551,0.0376867,0.0212936,0.0087651,0.011 3072,-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: Juan_scaled
Distance: 3.2619% / 0.03261896
100.0 Western_Europe

Target: Juan_scaled
Distance: 3.2619% / 0.03261896
89.4 Western_Europe:Spain
10.6 Western_Europe:Italy

Más interesante son las distancias.


Distance to: Juan_scaled
0.03310249 Western_Europe:Spain
0.05791440 Western_Europe:Italy
0.06054790 Western_Europe:France
0.06683231 Balkan:Greek_Thessaly
0.07152943 Balkan:Bulgarian
0.08153223 Western_Europe:German
0.08659765 Balkan:Bosnian
0.08686850 North_Europe:UK_&_Ireland
0.08815161 Balkan:Slovenian
0.10046650 North_Europe:Icelandic
0.10396131 North_Europe:Swedish
0.11790783 Eastern_Europe:Polish
0.12199376 Eastern_Europe:Ukrainian
0.13229789 Eastern_Europe:Russian_Smolensk
0.16404555 Eastern_Europe:Russian_Pinega


Tengo a un franchute que le sale estas distancias, joer que morro las mías son una puta mierda en comparación:

0.02502624 Western_Europe:France
0.03868918 Western_Europe:German
0.04149558 Western_Europe:Spain
0.04474383 North_Europe:UK_&_Ireland
0.05173742 Balkan:Slovenian
0.05761211 Balkan:Bosnian
0.05783949 North_Europe:Icelandic
0.05829546 Balkan:Bulgarian
0.06111719 North_Europe:Swedish
0.07010122 Western_Europe:Italy
0.07213626 Balkan:Greek_Thessaly
0.07804938 Eastern_Europe: Polish
0.08409049 Eastern_Europe:Ukrainian
0.09373105 Eastern_Europe:Russian_Smolensk
0.13297547 Eastern_Europe:Russian_Pinega

[Damião de Góis]

Target: Gil_Vicente
Distance: 2.5643% / 0.02564303
93.6 Western_Europe
5.0 North_Europe
1.4 Eastern_Europe

Target: Gil_Vicente
Distance: 2.5643% / 0.02564303
75.4 Western_Europe:Spain
18.2 Western_Europe:Italy
5.0 North_Europe:Icelandic
1.0 Eastern_Europe:Russian_Smolensk
0.4 Eastern_Europe:Russian_Pinega

Distance to: Gil_Vicente
0.02757243 Western_Europe:Spain
0.04816333 Western_Europe:France
0.05230155 Western_Europe:Italy
0.06041713 Balkan:Greek_Thessaly
0.06179170 Balkan:Bulgarian
0.06872701 Western_Europe:German
0.07450308 North_Europe:UK_&_Ireland
0.07581731 Balkan:Bosnian
0.07611874 Balkan:Slovenian
0.08810445 North_Europe:Icelandic
0.09268305 North_Europe:Swedish
0.10601414 Eastern_Europe:Polish
0.11055711 Eastern_Europe:Ukrainian
0.12137539 Eastern_Europe:Russian_Smolensk
0.15743714 Eastern_Europe:Russian_Pinega

[PT Tagus]

Target: Endovelicus_scaled
Distance: 3.3044% / 0.03304429
72.0 Western_Europe:Spain
28.0 Western_Europe:Italy


Distance to: Endovelicus_scaled
0.03627322 Western_Europe:Spain
0.05076016 Western_Europe:Italy
0.06076277 Balkan:Greek_Thessaly
0.06185027 Western_Europe:France
0.06899541 Balkan:Bulgarian
0.08201316 Western_Europe:German
0.08459362 Balkan:Bosnian
0.08768085 Balkan:Slovenian
0.08888651 North_Europe:UK_&_Ireland
0.10135484 North_Europe:Icelandic
0.10532447 North_Europe:Swedish
0.11730246 Eastern_Europe:Polish
0.12129741 Eastern_Europe:Ukrainian
0.13215159 Eastern_Europe:Russian_Smolensk
0.16582730 Eastern_Europe:Russian_Pinega

[gixajo]

Western_Europe:France,0.12805369,0.141295,0.049189 51,0.02265938,0.04019089,0.0091258,0.00231129,0.00 329077,0.00976047,0.01500455,-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,0.11450407,0.14694516,0.01230 272,-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
Western_Europe:Spain,0.1144025,0.14661262,0.041578 89,-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,0.1302626,0.1373792,0.057981 1,0.0387068,0.0400035,0.0156461,0.0040665,0.005786 5,0.003526,0.00188,-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,0.1317303,0.13647543,0.06162398,0.0456228 5,0.039644,0.017335,0.00374233,0.0055211,0.0046123 3,0.00454865,-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
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,0.1326987,0.1336267,0.06781 9,0.0563097,0.0393663,0.0229619,0.0033488,0.008518 8,0.0026418,6.07e-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,0.1290754,0.1348622,0.0449528,0.024 8064,0.0312058,0.0098726,0.004841,0.0052152,-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,0.1288476,0.1352686,0.056191,0.03 38504,0.0349602,0.0126616,0.0065332,0.0069688,0.00 31086,-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,0.12475,0.1348622,0.0256442,0.005 3618,0.02462,-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,0.1318405,0.1292694,0.069868 5,0.0577382,0.0406754,0.0217127,0.0086781,0.010862 6,-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, 0.0945317,0.07752,0.02185,0.023241,0.0118287,0.014 6147,0.0013637,-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,0.1309273,0.1240867,0.068 3506,0.0575551,0.0376867,0.0212936,0.0087651,0.011 3072,-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: gixajo_scaled
Distance: 1.7359% / 0.01735925
100.0 Western_Europe

Target: gixajo_scaled
Distance: 1.7359% / 0.01735925
87.6 Western_Europe:Spain
12.4 Western_Europe:France

Distance to: gixajo_scaled
0.01810916 Western_Europe:Spain
0.04062266 Western_Europe:France
0.05962406 Western_Europe:Italy
0.06458197 Western_Europe:German
0.06547996 Balkan:Bulgarian
0.06683258 Balkan:Greek_Thessaly
0.06988582 North_Europe:UK_&_Ireland
0.07480439 Balkan:Bosnian
0.07495092 Balkan:Slovenian
0.08398012 North_Europe:Icelandic
0.08765597 North_Europe:Swedish
0.10386202 Eastern_Europe:Polish
0.10929737 Eastern_Europe:Ukrainian
0.11973639 Eastern_Europe:Russian_Smolensk
0.15848719 Eastern_Europe:Russian_Pinega

[gixajo]

Western_Europe:France,0.12805369,0.141295,0.049189 51,0.02265938,0.04019089,0.0091258,0.00231129,0.00 329077,0.00976047,0.01500455,-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,0.11450407,0.14694516,0.01230 272,-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
Western_Europe:Spain,0.1144025,0.14661262,0.041578 89,-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,0.1302626,0.1373792,0.057981 1,0.0387068,0.0400035,0.0156461,0.0040665,0.005786 5,0.003526,0.00188,-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,0.1317303,0.13647543,0.06162398,0.0456228 5,0.039644,0.017335,0.00374233,0.0055211,0.0046123 3,0.00454865,-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
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,0.1326987,0.1336267,0.06781 9,0.0563097,0.0393663,0.0229619,0.0033488,0.008518 8,0.0026418,6.07e-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,0.1290754,0.1348622,0.0449528,0.024 8064,0.0312058,0.0098726,0.004841,0.0052152,-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,0.1288476,0.1352686,0.056191,0.03 38504,0.0349602,0.0126616,0.0065332,0.0069688,0.00 31086,-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,0.12475,0.1348622,0.0256442,0.005 3618,0.02462,-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,0.1318405,0.1292694,0.069868 5,0.0577382,0.0406754,0.0217127,0.0086781,0.010862 6,-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, 0.0945317,0.07752,0.02185,0.023241,0.0118287,0.014 6147,0.0013637,-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,0.1309273,0.1240867,0.068 3506,0.0575551,0.0376867,0.0212936,0.0087651,0.011 3072,-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





Esa muestra española es buenísima, con cuantos samples la has hecho?

[Defcon2]

Esa muestra española es buenísima, con cuantos samples la has hecho?

Creo que reuniendo todas las CCAA lo tenía por ahí.

[Damião de Góis]

Edit - Segunda tentativa. Source editada.



NorthAtlantic_Islander:Orcadian,0.1306689,0.134252 8,0.0629793,0.04845,0.0387149,0.0175423,0.001786,0 .0039229,0.0050312,0.001786,-0.0068367,0.0048108,-0.0119078,-0.0108308,0.0223531,0.0030364,-0.0123864,0.0034712,0.0026774,0.0003001,0.0049539, 0.0022504,-0.0021567,0.0100374,-0.0005988
Catalan_Islander:Spanish_Mallorca,0.1176172,0.1479 288,0.0389273,0.0010767,0.039392,-0.0013632,0.0003917,0.0030768,0.0174073,0.0279429,-0.0030313,0.0062778,-0.0155598,-0.0084102,0.0064392,0.0025192,0.0013618,0.001464,-0.0008798,-0.0013479,0.0009703,0.0007558,-0.0017529,0.0002009,-0.0002394
EastMed_Islander:Cypriot,0.0997375,0.146744,-0.0378534,-0.0702525,-0.0070011,-0.0242986,0.001645,-0.0047594,0.0029656,0.0138728,0.0044454,-0.0001499,0.0025459,0.0018234,-0.0086014,0.0008947,0.0023631,0.0009978,0.0022469,-0.0012506,-0.0024489,0.0011438,-0.0027115,0.0017774,-0.0020656
Scandinavian_Islander:Icelandic,0.1326987,0.133626 7,0.067819,0.0563097,0.0393663,0.0229619,0.0033488 ,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
Greek_Islander:Greek_Crete,0.1070972,0.1463285,-0.0168335,-0.0466295,0.0057632,-0.0153645,0.0022005,-0.0013009,-0.0029936,0.0129388,0.0013876,0.0027794,-0.0009596,0.0043915,-0.0122765,-0.0038692,0.001529,0.0008983,0.0040565,-0.0055482,-0.0050935,0.0014165,-0.0007506,-0.0012051,-0.0019595
CentralMed_Islander:Sardinian,0.1216872,0.1672855, 0.0284897,-0.0506523,0.060151,-0.0221337,-0.0039523,0.0024964,0.0415743,0.077351,-5.9e-05,0.0166487,-0.0286645,-0.012974,-0.013572,-0.0030013,0.0114027,-0.0013475,0.0016798,-0.0129947,-0.0021212,-0.0011018,-0.010084,-0.021383,0.0003375
FrancoItalian_Islander:French_Corsica,0.1203273,0. 1518216,0.0195294,-0.0230022,0.0350394,-0.0100401,-0.0018464,-0.0005604,0.0157044,0.0337918,-0.0006031,0.0074612,-0.0132308,-0.0071074,-0.004537,-0.0005968,0.0040419,0.0012489,0.0024511,-0.0030461,-0.0003923,0.0002474,-0.0025793,-0.0013858,-0.0005303
Guanche_Islander:Spanish_Canarias,0.0812937,0.1457 017,0.0302689,-0.012903,0.0378369,-0.0062237,-0.0064936,0.0008137,0.0316044,0.0290523,-0.0004957,0.0052611,-0.0071748,-0.0136175,0.0110221,-0.0021982,-0.0027382,-0.0034873,-0.0108431,0.0009874,0.0006041,-0.0064299,0.0016412,-0.0034183,0.0017017
SouthItalian_Islander:Sicilian_East,0.1031997,0.14 65747,-0.007291,-0.0411287,0.0178493,-0.0153393,-0.0019583,7.7e-05,0.0075673,0.0213217,0.0073073,0.0038967,-0.0061447,0.0031193,-0.0059263,-0.006497,-0.0028683,-0.00114,0.0044833,-0.003877,-4.13e-05,0.0026793,-0.0018897,0.0022893,0.000399
SouthItalian_Islander:Sicilian_West,0.1001643,0.14 55593,-0.0003773,-0.03553,0.019388,-0.0098543,-0.0006267,0.0005383,0.013362,0.0222937,0.00341,0.0 030973,-0.00223,0.0018807,-0.002262,-0.003182,-0.0018687,-4.23e-05,-0.00088,-0.006128,0.000832,0.0008243,-0.0032043,-0.0034943,0.0002393


Target: Gil_Vicente
Distance: 1.9956% / 0.01995589
48.0 Guanche_Islander
32.4 NorthAtlantic_Islander
10.2 SouthItalian_Islander
9.4 CentralMed_Islander

Distance to: Gil_Vicente
0.03034411 Catalan_Islander:Spanish_Mallorca
0.03757494 Guanche_Islander:Spanish_Canarias
0.04900982 FrancoItalian_Islander:French_Corsica
0.06444127 SouthItalian_Islander:Sicilian_West
0.07516474 SouthItalian_Islander:Sicilian_East
0.07603541 NorthAtlantic_Islander:Orcadian
0.08810445 Scandinavian_Islander:Icelandic
0.09339380 Greek_Islander:Greek_Crete
0.10080325 CentralMed_Islander:Sardinian
0.12428273 EastMed_Islander:Cypriot

[Defcon2]

Edit - Segunda tentativa. Source editada.



NorthAtlantic_Islander:Orcadian,0.1306689,0.134252 8,0.0629793,0.04845,0.0387149,0.0175423,0.001786,0 .0039229,0.0050312,0.001786,-0.0068367,0.0048108,-0.0119078,-0.0108308,0.0223531,0.0030364,-0.0123864,0.0034712,0.0026774,0.0003001,0.0049539, 0.0022504,-0.0021567,0.0100374,-0.0005988
Catalan_Islander:Spanish_Mallorca,0.1176172,0.1479 288,0.0389273,0.0010767,0.039392,-0.0013632,0.0003917,0.0030768,0.0174073,0.0279429,-0.0030313,0.0062778,-0.0155598,-0.0084102,0.0064392,0.0025192,0.0013618,0.001464,-0.0008798,-0.0013479,0.0009703,0.0007558,-0.0017529,0.0002009,-0.0002394
EastMed_Islander:Cypriot,0.0997375,0.146744,-0.0378534,-0.0702525,-0.0070011,-0.0242986,0.001645,-0.0047594,0.0029656,0.0138728,0.0044454,-0.0001499,0.0025459,0.0018234,-0.0086014,0.0008947,0.0023631,0.0009978,0.0022469,-0.0012506,-0.0024489,0.0011438,-0.0027115,0.0017774,-0.0020656
Scandinavian_Islander:Icelandic,0.1326987,0.133626 7,0.067819,0.0563097,0.0393663,0.0229619,0.0033488 ,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
Greek_Islander:Greek_Crete,0.1070972,0.1463285,-0.0168335,-0.0466295,0.0057632,-0.0153645,0.0022005,-0.0013009,-0.0029936,0.0129388,0.0013876,0.0027794,-0.0009596,0.0043915,-0.0122765,-0.0038692,0.001529,0.0008983,0.0040565,-0.0055482,-0.0050935,0.0014165,-0.0007506,-0.0012051,-0.0019595
CentralMed_Islander:Sardinian,0.1216872,0.1672855, 0.0284897,-0.0506523,0.060151,-0.0221337,-0.0039523,0.0024964,0.0415743,0.077351,-5.9e-05,0.0166487,-0.0286645,-0.012974,-0.013572,-0.0030013,0.0114027,-0.0013475,0.0016798,-0.0129947,-0.0021212,-0.0011018,-0.010084,-0.021383,0.0003375
FrancoItalian_Islander:French_Corsica,0.1203273,0. 1518216,0.0195294,-0.0230022,0.0350394,-0.0100401,-0.0018464,-0.0005604,0.0157044,0.0337918,-0.0006031,0.0074612,-0.0132308,-0.0071074,-0.004537,-0.0005968,0.0040419,0.0012489,0.0024511,-0.0030461,-0.0003923,0.0002474,-0.0025793,-0.0013858,-0.0005303
Guanche_Islander:Spanish_Canarias,0.0812937,0.1457 017,0.0302689,-0.012903,0.0378369,-0.0062237,-0.0064936,0.0008137,0.0316044,0.0290523,-0.0004957,0.0052611,-0.0071748,-0.0136175,0.0110221,-0.0021982,-0.0027382,-0.0034873,-0.0108431,0.0009874,0.0006041,-0.0064299,0.0016412,-0.0034183,0.0017017
SouthItalian_Islander:Sicilian_East,0.1031997,0.14 65747,-0.007291,-0.0411287,0.0178493,-0.0153393,-0.0019583,7.7e-05,0.0075673,0.0213217,0.0073073,0.0038967,-0.0061447,0.0031193,-0.0059263,-0.006497,-0.0028683,-0.00114,0.0044833,-0.003877,-4.13e-05,0.0026793,-0.0018897,0.0022893,0.000399
SouthItalian_Islander:Sicilian_West,0.1001643,0.14 55593,-0.0003773,-0.03553,0.019388,-0.0098543,-0.0006267,0.0005383,0.013362,0.0222937,0.00341,0.0 030973,-0.00223,0.0018807,-0.002262,-0.003182,-0.0018687,-4.23e-05,-0.00088,-0.006128,0.000832,0.0008243,-0.0032043,-0.0034943,0.0002393


Target: Gil_Vicente
Distance: 1.9956% / 0.01995589
48.0 Guanche_Islander
32.4 NorthAtlantic_Islander
10.2 SouthItalian_Islander
9.4 CentralMed_Islander

Distance to: Gil_Vicente
0.03034411 Catalan_Islander:Spanish_Mallorca
0.03757494 Guanche_Islander:Spanish_Canarias
0.04900982 FrancoItalian_Islander:French_Corsica
0.06444127 SouthItalian_Islander:Sicilian_West
0.07516474 SouthItalian_Islander:Sicilian_East
0.07603541 NorthAtlantic_Islander:Orcadian
0.08810445 Scandinavian_Islander:Icelandic
0.09339380 Greek_Islander:Greek_Crete
0.10080325 CentralMed_Islander:Sardinian
0.12428273 EastMed_Islander:Cypriot

Target: Juan_scaled
Distance: 2.9761% / 0.02976064
53.4 Guanche_Islander:Spanish_Canarias
25.2 NorthAtlantic_Islander:Orcadian
20.2 CentralMed_Islander:Sardinian
1.2 SouthItalian_Islander:Sicilian_East

Distance to: Juan_scaled
0.04023849 Catalan_Islander:Spanish_Mallorca
0.04029485 Guanche_Islander:Spanish_Canarias
0.05066392 FrancoItalian_Islander:French_Corsica
0.06939643 SouthItalian_Islander:Sicilian_West
0.07871621 SouthItalian_Islander:Sicilian_East
0.08893569 NorthAtlantic_Islander:Orcadian
0.09147850 CentralMed_Islander:Sardinian
0.09846071 Greek_Islander:Greek_Crete
0.10046650 Scandinavian_Islander:Icelandic
0.12766919 EastMed_Islander:Cypriot

[gixajo]

Creo que reuniendo todas las CCAA lo tenía por ahí.

La distancia a uno de mis samples de la península ibérica, es cortísima.:rolleyes:

[gixajo]

Muy buena idea, solo con islas. :thumb001:


Edit - Segunda tentativa. Source editada.



NorthAtlantic_Islander:Orcadian,0.1306689,0.134252 8,0.0629793,0.04845,0.0387149,0.0175423,0.001786,0 .0039229,0.0050312,0.001786,-0.0068367,0.0048108,-0.0119078,-0.0108308,0.0223531,0.0030364,-0.0123864,0.0034712,0.0026774,0.0003001,0.0049539, 0.0022504,-0.0021567,0.0100374,-0.0005988
Catalan_Islander:Spanish_Mallorca,0.1176172,0.1479 288,0.0389273,0.0010767,0.039392,-0.0013632,0.0003917,0.0030768,0.0174073,0.0279429,-0.0030313,0.0062778,-0.0155598,-0.0084102,0.0064392,0.0025192,0.0013618,0.001464,-0.0008798,-0.0013479,0.0009703,0.0007558,-0.0017529,0.0002009,-0.0002394
EastMed_Islander:Cypriot,0.0997375,0.146744,-0.0378534,-0.0702525,-0.0070011,-0.0242986,0.001645,-0.0047594,0.0029656,0.0138728,0.0044454,-0.0001499,0.0025459,0.0018234,-0.0086014,0.0008947,0.0023631,0.0009978,0.0022469,-0.0012506,-0.0024489,0.0011438,-0.0027115,0.0017774,-0.0020656
Scandinavian_Islander:Icelandic,0.1326987,0.133626 7,0.067819,0.0563097,0.0393663,0.0229619,0.0033488 ,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
Greek_Islander:Greek_Crete,0.1070972,0.1463285,-0.0168335,-0.0466295,0.0057632,-0.0153645,0.0022005,-0.0013009,-0.0029936,0.0129388,0.0013876,0.0027794,-0.0009596,0.0043915,-0.0122765,-0.0038692,0.001529,0.0008983,0.0040565,-0.0055482,-0.0050935,0.0014165,-0.0007506,-0.0012051,-0.0019595
CentralMed_Islander:Sardinian,0.1216872,0.1672855, 0.0284897,-0.0506523,0.060151,-0.0221337,-0.0039523,0.0024964,0.0415743,0.077351,-5.9e-05,0.0166487,-0.0286645,-0.012974,-0.013572,-0.0030013,0.0114027,-0.0013475,0.0016798,-0.0129947,-0.0021212,-0.0011018,-0.010084,-0.021383,0.0003375
FrancoItalian_Islander:French_Corsica,0.1203273,0. 1518216,0.0195294,-0.0230022,0.0350394,-0.0100401,-0.0018464,-0.0005604,0.0157044,0.0337918,-0.0006031,0.0074612,-0.0132308,-0.0071074,-0.004537,-0.0005968,0.0040419,0.0012489,0.0024511,-0.0030461,-0.0003923,0.0002474,-0.0025793,-0.0013858,-0.0005303
Guanche_Islander:Spanish_Canarias,0.0812937,0.1457 017,0.0302689,-0.012903,0.0378369,-0.0062237,-0.0064936,0.0008137,0.0316044,0.0290523,-0.0004957,0.0052611,-0.0071748,-0.0136175,0.0110221,-0.0021982,-0.0027382,-0.0034873,-0.0108431,0.0009874,0.0006041,-0.0064299,0.0016412,-0.0034183,0.0017017
SouthItalian_Islander:Sicilian_East,0.1031997,0.14 65747,-0.007291,-0.0411287,0.0178493,-0.0153393,-0.0019583,7.7e-05,0.0075673,0.0213217,0.0073073,0.0038967,-0.0061447,0.0031193,-0.0059263,-0.006497,-0.0028683,-0.00114,0.0044833,-0.003877,-4.13e-05,0.0026793,-0.0018897,0.0022893,0.000399
SouthItalian_Islander:Sicilian_West,0.1001643,0.14 55593,-0.0003773,-0.03553,0.019388,-0.0098543,-0.0006267,0.0005383,0.013362,0.0222937,0.00341,0.0 030973,-0.00223,0.0018807,-0.002262,-0.003182,-0.0018687,-4.23e-05,-0.00088,-0.006128,0.000832,0.0008243,-0.0032043,-0.0034943,0.0002393




Target: gixajo_scaled
Distance: 1.7665% / 0.01766463
35.6 NorthAtlantic_Islander:Orcadian
31.8 CentralMed_Islander:Sardinian
19.6 Guanche_Islander:Spanish_Canarias
7.8 Scandinavian_Islander:Icelandic
5.2 Catalan_Islander:Spanish_Mallorca

Distance to: gixajo_scaled
0.02226842 Catalan_Islander:Spanish_Mallorca
0.04784084 FrancoItalian_Islander:French_Corsica
0.05145371 Guanche_Islander:Spanish_Canarias
0.07247965 NorthAtlantic_Islander:Orcadian
0.07641814 SouthItalian_Islander:Sicilian_West
0.08398012 Scandinavian_Islander:Icelandic
0.08690150 SouthItalian_Islander:Sicilian_East
0.09133388 CentralMed_Islander:Sardinian
0.10470087 Greek_Islander:Greek_Crete
0.13497959 EastMed_Islander:Cypriot

[Damião de Góis]

Qual será o motivo de, para nós os três, a sample Orcadian fique à frente de Spanish_Mallorca? :confused:

[Defcon2]

Qual será o motivo de, para nós os três, a sample Orcadian fique à frente de Spanish_Mallorca? :confused:

Creo que el cálculo está intentando aislar o separar los componentes antiguos, por ejemplo Canarias es mezcla ibérica + NA y Orcadian es adn septentrional (Whg + Estepa). Mallorca es redundante teniendo Canarias y posee menos mezcla NA me parece, por eso no aparece.

[gixajo]

Mi idea es que todo el mundo se modele con un solo sample individual de cada continante que sea representativo de cada origen, mejor dicho, que tenga pocos aportes de otros continentes.

Europa: Irish
Africa:Yoruba
America:Amerindian_North
Asia:japanese
Oceania:Australian(aborigen)

A ver que le sale a la gente:

UNSCALED:


Europe:Irish,0.0117203,0.0132812,0.0161984,0.01493 91,0.0124578,0.0067766,0.0012766,0.0020688,0.00153 12,0.0014953,-0.0043969,0.0037406,-0.0096703,-0.0101203,0.0186766,0.0036359,-0.0084922,0.0017406,0.0005969,0.0010703,0.0041469, 0.0009906,-0.0002891,0.0122547,0.0008906
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

Target: gixajo
Distance: 3.3256% / 0.03325551
84.4 Europe
6.8 Asia
6.0 Africa
2.8 Oceania

Target: gixajo
Distance: 3.3360% / 0.03335994 | ADC: 0.25x
87.6 Europe
5.6 Asia
5.0 Africa
1.8 Oceania

Distance to: gixajo
0.03527015 Europe:Irish
0.09008191 Africa:Yoruba
0.09532771 Asia:Japanese
0.16308814 America:AmerindianNorth
0.16707400 Oceania:AustralianAboriginal

Edit:le cambio el nombre a los samples antes de postearlo para todo el mundo, pero no los cambié en las sources, ahora lo hago.

[Damião de Góis]

Target: Gil_Vicente
Distance: 2.9647% / 0.02964701
82.0 Europe
9.2 Africa
5.4 Asia
3.2 Oceania
0.2 America


Distance to: Gil_Vicente
0.03255335 Europe:Irish
0.08624883 Africa:Yoruba:NA18488
0.09471696 Asia:Japanese
0.16015521 America:AN1
0.16562255 Oceania:Australian

O meu East_Asian é sempre 0 consistente em todas as runs. Esperava 0 aqui também.

[gixajo]

Target: Gil_Vicente
Distance: 2.9647% / 0.02964701
82.0 Europe
9.2 Africa
5.4 Asia
3.2 Oceania
0.2 America


Distance to: Gil_Vicente
0.03255335 Europe:Irish
0.08624883 Africa:Yoruba:NA18488
0.09471696 Asia:Japanese
0.16015521 America:AN1
0.16562255 Oceania:Australian

O meu East_Asian é sempre 0 consistente em todas as runs. Esperava 0 aqui também.

Publico este para que se lo haga todo el mundo?

En realidad se trata de modelarse con una sola población original de cada continente, espero que lo comprendan todos y no se lo tomen en serio como que realmente tenemos ese % de Aborigen o África.:confused.

[Defcon2]

Mi idea es que todo el mundo se modele con un solo sample individual de cada continante que sea representativo de cada origen, mejor dicho, que tenga pocos aportes de otros continentes.

Europa: Irish
Africa:Yoruba
America:Amerindian_North
Asia:japanese
Oceania:Australian(aborigen)

A ver que le sale a la gente:

UNSCALED:


Europe:Irish,0.0117203,0.0132812,0.0161984,0.01493 91,0.0124578,0.0067766,0.0012766,0.0020688,0.00153 12,0.0014953,-0.0043969,0.0037406,-0.0096703,-0.0101203,0.0186766,0.0036359,-0.0084922,0.0017406,0.0005969,0.0010703,0.0041469, 0.0009906,-0.0002891,0.0122547,0.0008906
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

Target: gixajo
Distance: 3.3256% / 0.03325551
84.4 Europe
6.8 Asia
6.0 Africa
2.8 Oceania

Target: gixajo
Distance: 3.3360% / 0.03335994 | ADC: 0.25x
87.6 Europe
5.6 Asia
5.0 Africa
1.8 Oceania

Distance to: gixajo
0.03527015 Europe:Irish
0.09008191 Africa:Yoruba
0.09532771 Asia:Japanese
0.16308814 America:AmerindianNorth
0.16707400 Oceania:AustralianAboriginal

Edit:le cambio el nombre a los samples antes de postearlo para todo el mundo, pero no los cambié en las sources, ahora lo hago.

:rolleyes::rolleyes::rolleyes::rolleyes::rolleyes: :rolleyes::rolleyes::rolleyes::rolleyes::rolleyes: :rolleyes::rolleyes::rolleyes::rolleyes::rolleyes: :rolleyes::rolleyes:rolleyes::rolleyes::rolleyes:: rolleyes::rolleyes::rolleyes::rolleyes::rolleyes:: rolleyes::rolleyes::rolleyes::rolleyes::rolleyes:: rolleyes::rolleyes::rolleyes::rolleyes::rolleyes:: rolleyes::rolleyes::rolleyes::rolleyes::rolleyes:: rolleyes::rolleyes::rolleyes::rolleyes::rolleyes:: rolleyes:


:rolleyes::rolleyes::rolleyes::rolleyes::rolleyes: :rolleyes::rolleyes::rolleyes::rolleyes::rolleyes: :rolleyes::rolleyes::rolleyes::rolleyes::rolleyes:

Target: Juan
Distance: 3.8191% / 0.03819140
78.8 Europe:Irish
13.4 Asia:Japanese
5.8 Africa:Yoruba
2.0 Oceania:AustralianAborigen


Distance to: Juan
0.04160321 Europe:Irish
0.09139874 Africa:Yoruba
0.09150919 Asia:Japanese
0.16190151 America:AmerindianNorth
0.16867827 Oceania:AustralianAborigen

[Damião de Góis]

Publico este para que se lo haga todo el mundo?

En realidad se trata de modelarse con una sola población original de cada continente, espero que lo comprendan todos y no se lo tomen en serio como que realmente tenemos ese % de Aborigen o África.:confused.

Talvez sim. Se publicares é possível que muita gente fique confusa :lol:

[gixajo]

Talvez sim. Se publicares é possível que muita gente fique confusa :lol:

Neste fórum há membros un pouco "cortitos" , não sei se em português se usa essa expressão.:picard1:

Também não é que eu seja Einstein, mas ao lado de alguns aqui, a minha autoestima nesse aspeto é bastante reforçada.

[Rocinante]

Quizás esto se acerque a lo que debería ser mi G25, es de YourDNAPortal:

European_EHG 0.00%
Caucasus 4.30%
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 4.13%
Levant_Neolithic 17.48%
Anatolian_Farmers 1.35%
West_Farmers 37.62%
Iran_Neolithic 0.00%
European_WHG 35.13%

Que rara esa distribución la verdad... Yo esas calculadoras de yourdnaportal las usaría más por diversión que otra cosa, porque por ejemplo esa que pusiste no la entiendo, no conozco persona que pueda sacar mas de 30% en WHG.

[gixajo]

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:


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


Target: gixajo
Distance: 3.3897% / 0.03389681
87.6 Europe:Dutch
5.2 Asia:Japanese
5.0 Africa:Yoruba
2.2 Oceania:AustralianAborigen



Europe:German,0.0114443,0.0135278,0.0153747,0.0119 835,0.0129987,0.0056101,0.0017304,0.0025076,0.0017 241,0.0010316,-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



Target: gixajo
Distance: 3.0856% / 0.03085610
94.0 Europe:German
2.8 Asia:Japanese
1.8 Oceania:AustralianAborigen
1.4 Africa:Yoruba



Europe:Norwegian,0.0117571,0.0126,0.0180143,0.0165 429,0.0125571,0.0075429,0.0017857,0.0027286,0.0028 ,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


Target: gixajo
Distance: 3.5940% / 0.03594028
82.2 Europe:Norwegian
8.2 Asia:Japanese
6.6 Africa:Yoruba
3.0 Oceania:AustralianAborigen

[gixajo]

Quizás esto se acerque a lo que debería ser mi G25, es de YourDNAPortal:

European_EHG 0.00%
Caucasus 4.30%
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 4.13%
Levant_Neolithic 17.48%
Anatolian_Farmers 1.35%
West_Farmers 37.62%
Iran_Neolithic 0.00%
European_WHG 35.13%

Vas a pedir tu G25 cuando se pueda?

[Gallop]

@Defcon


Western_Europe:France,0.12805369,0.141295,0.049189 51,0.02265938,0.04019089,0.0091258,0.00231129,0.00 329077,0.00976047,0.01500455,-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,0.11450407,0.14694516,0.01230 272,-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
Western_Europe:Spain,0.1144025,0.14661262,0.041578 89,-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,0.1302626,0.1373792,0.057981 1,0.0387068,0.0400035,0.0156461,0.0040665,0.005786 5,0.003526,0.00188,-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,0.1317303,0.13647543,0.06162398,0.0456228 5,0.039644,0.017335,0.00374233,0.0055211,0.0046123 3,0.00454865,-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
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,0.1326987,0.1336267,0.06781 9,0.0563097,0.0393663,0.0229619,0.0033488,0.008518 8,0.0026418,6.07e-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,0.1290754,0.1348622,0.0449528,0.024 8064,0.0312058,0.0098726,0.004841,0.0052152,-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,0.1288476,0.1352686,0.056191,0.03 38504,0.0349602,0.0126616,0.0065332,0.0069688,0.00 31086,-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,0.12475,0.1348622,0.0256442,0.005 3618,0.02462,-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,0.1318405,0.1292694,0.069868 5,0.0577382,0.0406754,0.0217127,0.0086781,0.010862 6,-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, 0.0945317,0.07752,0.02185,0.023241,0.0118287,0.014 6147,0.0013637,-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,0.1309273,0.1240867,0.068 3506,0.0575551,0.0376867,0.0212936,0.0087651,0.011 3072,-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

[gixajo]

Quizás esto se acerque a lo que debería ser mi G25, es de YourDNAPortal:

European_EHG 0.00%
Caucasus 4.30%
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 4.13%
Levant_Neolithic 17.48%
Anatolian_Farmers 1.35%
West_Farmers 37.62%
Iran_Neolithic 0.00%
European_WHG 35.13%

Puedes probar este "método" para tener unas coordenadas G25 provisionales para entretenerte:

https://www.theapricity.com/forum/showthread.php?326400-Gedmatch-based-method-of-obtaining-G25-coordinates

[Gallop]

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%

[Defcon2]

Puedes probar este "método" para tener unas coordenadas G25 provisionales para entretenerte:

https://www.theapricity.com/forum/showthread.php?326400-Gedmatch-based-method-of-obtaining-G25-coordinates

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:


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


Y se lo resto a mis coordenadas, saliendo esto:


JuanMenos10%MoroccanNorth_scaled,0.10088535,0.1243 7979,0.03198178,0.00706293,0.04428036,0.00430774,-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


PCA básico.

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.

[gixajo]

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:



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.

[gixajo]

Cambiando de tema, creo que me voy a poner un peinado a lo afro en la foto del avatar.

[gixajo]

Estás ocupado pero he encontrado algo interesante, puedo extraer un porcentaje específico de unas coordenadas concretas y restarsela a unas coordenadas, por ejemplo:



Exceptuando un ligero aumento del SSA, creo que es coherente.

A mí todas estas chorradicas de juguetear con las coordenadas me está entreteniendo mucho, sobre todo las ideas en sí,tanto de modelos y calculadores como de customizar coordenadas, luego repetiré la misma coordenada dos veces o se me pasará un signo negativo de alguna , pero para mí eso es lo de menos.:rolleyes:

[mitalit]

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.

Como vea el polaco que le estáis haciendo competencia...

[Defcon2]

A mí todas estas chorradicas de juguetear con las coordenadas me está entreteniendo mucho, sobre todo las ideas en sí,tanto de modelos y calculadores como de customizar coordenadas, luego repetiré la misma coordenada dos veces o se me pasará un signo negativo de alguna , pero para mí eso es lo de menos.:rolleyes:

Sí, es adictivo.

[mitalit]

Cambiando de tema, creo que me voy a poner un peinado a lo afro en la foto del avatar.

Molaría que te pusieses negro, creo que hacer un blackface esta bastante bien visto y seria un gesto bonito.

[Defcon2]

Como vea el polaco que le estáis haciendo competencia...

Nos falta saber sacarlas del archivo de datos sin procesar, pero cobraríamos 50 Eypos por ello.

[gixajo]

Como vea el polaco que le estáis haciendo competencia...

Tendría que haber puesto precio por calcular las coordenadas esas pochas del método que puse antes :D

Solo que si tienen que pagar por ellas, nadie las pediría.

Esto es como las degustaciones en los supermercados, cuando son gratis todo el mundo come, pero como haya que pagar...

[Defcon2]

Tendría que haber puesto precio por calcular las coordenadas esas pochas del método que puse antes :D

Solo que si tienen que pagar por ellas, nadie las pediría.

Esto es como las degustaciones en los supermercados, cuando son gratis todo el mundo come, pero como haya que pagar...

El de los mapas cobra y mucha gente le pide cosas pero tiene cierta fama. Abre cuenta en Paypal que alguno cuela.

[gixajo]

Nos falta saber sacarlas del archivo de datos sin procesar, pero cobraríamos 50 Eypos por ello.

Mentiría si no dijera que llevo tiempo al menos intentando pensar las herramientas que usan para ello.

Lamentablemente creo que ya sé como se puede hacer, y con qué herramientas, pero ninguno de nosotros tenemos un ordenador capaz de hacerlo.

Conozco a una persona que sí podría hacerlo, y que casualmente es doctora en estadística multivariante,no voy a coincidir con ella en bastante tiempo y no voy a llamarla para esto, pero si coincidimos, le hablaré de todo esto, seguro que me ofrece datos curiosos, e igual se puede hacer algo, lo que sea.

[gixajo]

El de los mapas cobra y mucha gente le pide cosas pero tiene cierta fama. Abre cuenta en Paypal que alguno cuela.

Seguro que todos los que venden cositas por aquí, tienen que pagar un porcentaje Loki. Me jugaría el cuello.

Por cierto, ten cuidado ahora que me acuerdo, con lo de restar o sumar porcentajes, porque si no sabemos como funcionan las coordenadas y que indican las cifras exactamente, podrías estar alejándo en vez de acercando o al revés. No sé si me explico bien a qué me refiero.

Por ejemplo, que crees que indica una coordenada que sea 0.0125 y una que sea 0.00125, cuál crees que es más cercana a la población a la que se refiere? Y cuál es más cercana, una 0.0125 o una -0.0125?

Yo tengo ciertas teorías, pero no estoy seguro de que lo que creo sea lo que son en realidad.

[gixajo]

No entiendo nah xD

Vas a Gedmatch, haz el eurogenes k13, luego el oracle 4 y escribes aquí la mezcla de 4 poblaciones con menor distancia.

Luego, tú mismo, o alguno de nosotros, te buscamos poblaciones similares del datasheet de los G25 y hacemos la media de ellas.

pero no serían tus coordenadas reales del g25, solo un sucedáneo que para algunos será más acertado que para otros, pero te pueden servir para juguetear.

[Defcon2]

Mentiría si no dijera que llevo tiempo al menos intentando pensar las herramientas que usan para ello.

Lamentablemente creo que ya sé como se puede hacer, y con qué herramientas, pero ninguno de nosotros tenemos un ordenador capaz de hacerlo.

Conozco a una persona que sí podría hacerlo, y que casualmente es doctora en estadística multivariante,no voy a coincidir con ella en bastante tiempo y no voy a llamarla para esto, pero si coincidimos, le hablaré de todo esto, seguro que me ofrece datos curiosos, e igual se puede hacer algo, lo que sea.

Hay tema.


Seguro que todos los que venden cositas por aquí, tienen que pagar un porcentaje Loki. Me jugaría el cuello.

Por cierto, ten cuidado ahora que me acuerdo, con lo de restar o sumar porcentajes, porque si no sabemos como funcionan las coordenadas y que indican las cifras exactamente, podrías estar alejándo en vez de acercando o al revés. No sé si me explico bien a qué me refiero.

Por ejemplo, que crees que indica una coordenada que sea 0.0125 y una que sea 0.00125, cuál crees que es más cercana a la población a la que se refiere? Y cuál es más cercana, una 0.0125 o una -0.0125?

Yo tengo ciertas teorías, pero no estoy seguro de que lo que creo sea lo que son en realidad.

Tuve dudas cuando hice la resta ya que me parecía raro algunos numeros.

[gixajo]

El de los mapas cobra y mucha gente le pide cosas pero tiene cierta fama. Abre cuenta en Paypal que alguno cuela.

Me daría vergüenza cobrar por algo así, pero la verdad es que la gente tiene mucha jeta, a mí me da igual hacer alguna media a alguno, o a cualquiera de vosotros, pero que se apunten un huevo de gente, porque los que me lo han pedido directamente en el thread son solo una porción de los que me lo han pedido por privado o en mensajitos de esos de reputation...

Solo tú, Lukasz y otro más creo que se han hecho sus propias coordenadas.

Cuando empezamos a hacer medias y a customizar refrencias, le mandé un email a Davidskt preguntándole si había algún problema en hacer eso, por si violábamos algún artículo sobre propiedad intelectual...

[gixajo]

Hay tema.



Tuve dudas cuando hice la resta ya que me parecía raro algunos numeros.

un par de pistas, cualquier software de estadística multivariante debería servir, y todo esto está basado en algoritmos relacionados con el método Montecarlo, aplicados a estadística con base de probabilidad, de hecho por el nombre cualquiera puede imaginarse que está relacionado con la teoría de juegos. por eso también el nombre de uno de estos calculadores/softwares...NMonte...

Yo como no estoy seguro de qué son exactamente las coordenadas, perfiero ir con cuidado.

[gixajo]

20. Spanish_Murcia + Spanish_Valencia + Spanish_Valencia + Spanish_Valencia @ 6.595315

¿Ese?

Ese sirve, pero es una distancia bastante alta.

[gixajo]

20. Spanish_Murcia + Spanish_Valencia + Spanish_Valencia + Spanish_Valencia @ 6.595315

¿Ese?

Pues sería esto, si no metí la pata en algún paso, estoy a oscuras por los mosquitos y no veo el teclado.:picard1:

Son las Scaled.


Noff_fromGedmatch,0.11581488,0.14420523,0.04011623 ,-0.00211965,0.04622010,-0.00160355,-0.00274658,0.00038945,0.02368650,0.03299608,-0.00310565,0.00709995,-0.01273848,-0.01195595,0.00838065,-0.00099440,-0.00326773,-0.00107680,-0.00094270,-0.00043770,0.00543568,-0.00176215,-0.00170235,-0.00460888,0.00203573

[gixajo]

Este del K15

French_Basque + French_Basque + Orcadian + Tunisian_Jewish @ 7.798555

En el otro tienes mejor distancia, si te hago ese y los comparas probablemente estén muy alejadas unas coordenadas de otras, con las del K13 ya vale.

Cuando te pidas las reales, si las pides, verás que tampoco tienen mucho que ver, aunque en teoría la distancia con un G25 real deberías ser similar a una muestra de población cercana al G25 real., en algunos casos, la muestra más cercana de todo el datasheet sería estas coordenadas hechas con el gedmatch.

[gixajo]

En el modelo de MyHeritage de Supreeme te sale este resultado:

Target: Noff_fromGedmatch
Distance: 0.3664% / 0.00366417
61.6 Iberian
11.2 North_and_West_European
8.4 Greek_and_South_Italian
5.6 Sardinian
4.4 Italian
3.6 North_African
2.8 Baltic
1.0 Yemenite_Jewish
0.8 West_Asian
0.4 Chinese_and_Vietnamese
0.2 Indigenous_Amazonian

Target: Noff_fromGedmatch
Distance: 0.6098% / 0.00609809 | ADC: 0.25x
94.2 Iberian
5.4 Balkan
0.2 Indigenous_Amazonian
0.2 Sardinian

Distance to: Noff_fromGedmatch
0.01201656 Iberian:Spanish_Aragon
0.01223105 Iberian:Spanish_Andalucia
0.01345031 Iberian:Spanish_Eivissa
0.01598539 Iberian:Portuguese
0.02825303 North_and_West_European:French_Provence
0.03430763 Italian:Italian_Lombardy
0.03790432 Italian:Italian_Liguria
0.03850881 Iberian:Basque_Spanish
0.04349469 North_and_West_European:Swiss_German
0.04788155 Italian:Italian_Tuscany
0.05066245 North_and_West_European:Belgian
0.05766305 Italian:Italian_Umbria
0.05770752 Balkan:Romanian
0.05999751 Greek_and_South_Italian:Greek_Thessaly
0.06087747 Balkan:Bulgarian
0.06164238 Balkan:Albanian
0.06256529 North_and_West_European:French_Brittany
0.06357760 Balkan:Serbian
0.06420379 North_and_West_European:Austrian
0.06660510 North_and_West_European:German
0.06945914 English:English_Cornwall
0.06960849 Irish_Scottish_Welsh:Welsh
0.07159876 English:English
0.07550475 Greek_and_South_Italian:Greek_Peloponnese
0.07551558 North_and_West_European:Dutch



Las distancias serán pequeñísimas porque las coordenadas están hechas con muestras del datasheet oficial, mucho más bajas que las distancias que nos salen a cualquiera de los que tenemos coordenadas reales.



¿Se parecen en algo a tus resultados habituales?

[gixajo]

¿Resultados habituales?
¿Los de Gedmatch o los de 23andme?

A cualquier resultado.

Has probado ya en algún modelo las coordenadas?

[gixajo]

Bueeeno, más o menos supongo.
Y no, no he probado algún modelo aún..

A ver, ten en cuenta que esto es como si te compras una réplica de airsoft de un AK47 para ir a una guerra de verdad, si no tienes que disparar a nadie , da el pego, pero como empiecen los tiros de verdad, más te vale salir corriendo.:D

[Defcon2]

A ver, ten en cuenta que esto es como si te compras una réplica de airsoft de un AK47 para ir a una guerra de verdad, si no tienes que disparar a nadie , da el pego, pero como empiecen los tiros de verdad, más te vale salir corriendo.:D

Nos tienes que explicar cómo es que tienes mi haplogrupo de avatar.

[gixajo]

Nos tienes que explicar cómo es que tienes mi haplogrupo de avatar.

Cambio según las estaciones, en Invierno soy islandés,en otoño francés del sur, en primavera soy norteafricano y en verano soy subafricano.

Lo mejor de todo es que me ha crecido un pelazo negro, rizado y resistente.

[gixajo]

Como curiosidad, los resultados de mis coordenadas reales del G25 (gixajo_scaled) con 3 hechas con el método que se basa en resultados de los oracles de Gedmatch en el modelo de componentes antiguos de Rocinante:

https://i.imgur.com/5rSMWR6.png

[gixajo]

Les hice G25 con el K13 a mis padres.

https://i.imgur.com/mRWYE2n.png

[Defcon2]

Como curiosidad, los resultados de mis coordenadas reales del G25 (gixajo_scaled) con 3 hechas con el método que se basa en resultados de los oracles de Gedmatch en el modelo de componentes antiguos de Rocinante:

https://i.imgur.com/5rSMWR6.png

Target: Juan_scaled
Distance: 4.8282% / 0.04828232
56.4 Early_European_Farmer
26.8 Western_Steppe_Herder
8.4 Western_Hunter-Gatherer
4.0 Iberomaurusian
1.8 Eastern_Hunter-Gatherer
1.4 Jomon
1.2 Sub-Saharan

Target: K13
Distance: 3.3232% / 0.03323184
53.6 Early_European_Farmer
24.6 Western_Steppe_Herder
11.2 Western_Hunter-Gatherer
8.8 Iberomaurusian
1.8 Sub-Saharan

[Defcon2]

Les hice G25 con el K13 a mis padres.

https://i.imgur.com/mRWYE2n.png

Ya pronto podrás sacarles el G25.

[gixajo]

Ya pronto podrás sacarles el G25.

Sí, porque Davidsky debe de estar en Canarias y no responde al correo.

[Defcon2]

Sí, porque Davidsky debe de estar en Canarias y no responde al correo.

Está como usuario en el foro de Anthrogenica, puedes enviarle un PM si quieres, por intentarlo...

[Defcon2]

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

[gixajo]

Está como usuario en el foro de Anthrogenica, puedes enviarle un PM si quieres, por intentarlo...

ya se lo envié hace unos días, mandó un mensaje automático diciendo que hasta el uno de Julio, nos aguantemos.

[Defcon2]

ya se lo envié hace unos días, mandó un mensaje automático diciendo que hasta el uno de Julio, nos aguantemos.

Menos mal que este mes solo tiene 30 días y el miércoles ya es 1 de julio, también le puedes amenazar con algo para obtenerlas antes.

[gixajo]

Menos mal que este mes solo tiene 30 días y el miércoles ya es 1 de julio, también le puedes amenazar con algo para obtenerlas antes.

Ahora que soy negro, podría amenazarle con cocinarlo en una cazuela gigante, con salacot en la cabeza incluido y rodeandole con toda la tribu.

O como le recomendé a Luso, meterle dentro del email un billete de 50 dólares, o la variante Ibérica para convencer a alguien, enseñarle una pata de jamón.

Voy a ver si teutone y su hermano gemelo Lawspeaker me han llamado ya cunt en el hilo ese en el que me ha propuesto como pagafantas o su equivalente en inglés, que pesadicos son con sus obsesiones y sus pulgares abajo.;)

[gixajo]

Menos mal que este mes solo tiene 30 días y el miércoles ya es 1 de julio, también le puedes amenazar con algo para obtenerlas antes.

Me ha dado por judíos ahora , quiero hacer medias de cada grupo, que creo que están sin hacer, y comparar las muestras de cada pais con las muestras de judíos de ese mismo pais, para intentar separar por ejemplo cuanto hay de alemán y de judio en un Ashkenazi alemán y cosillas por el estilo, y una vez que aprenda como funcionan estos componentes, hacer algún modelo judío.

Necesitaría judíos para experimentar, aunque suene un poco a Josef Mengele. Supongo que tendré que echar mano de los samples individuales, pero eso da sus problemas.

¿Alguna buena idea de las tuyas como sugerencia sobre todo esto?

[Defcon2]

Me ha dado por judíos ahora , quiero hacer medias de cada grupo, que creo que están sin hacer, y comparar las muestras de cada pais con las muestras de judíos de ese mismo pais, para intentar separar por ejemplo cuanto hay de alemán y de judio en un Ashkenazi alemán y cosillas por el estilo, y una vez que aprenda como funcionan estos componentes, hacer algún modelo judío.

Necesitaría judíos para experimentar, aunque suene un poco a Josef Mengele. Supongo que tendré que echar mano de los samples individuales, pero eso da sus problemas.

¿Alguna buena idea de las tuyas como sugerencia sobre todo esto?

Lo que tienen en común los judíos es un aporte levantino y de oriente medio, supongo que utilizando una referencia de esa zona en el cálculo serviría para aíslar el componente judío del europeo, pero se encuentra los mismos problemas que con gitanos, etc están muy mezclados. Y se superponen con italianos del sur para complicar las cosas, cualquier persona con ascendencia "romana" algo más fuerte dará falso positivo de judío.

[gixajo]

Lo que tienen en común los judíos es un aporte levantino y de oriente medio, supongo que utilizando una referencia de esa zona en el cálculo serviría para aíslar el componente judío del europeo, pero se encuentra los mismos problemas que con gitanos, etc están muy mezclados. Y se superponen con italianos del sur para complicar las cosas, cualquier persona con ascendencia "romana" algo más fuerte dará falso positivo de judío.

Por eso, sigo sin comprender como puede nadie diferenciar que un componente levantino puede ser judío o palestino, o sirio, o lo que sea, aparte de que se supone que la mezcla de un eslavo o germano con levantino se considere como referencia Ashkenazi directamente.

[Defcon2]

Por eso, sigo sin comprender como puede nadie diferenciar que un componente levantino puede ser judío o palestino, o sirio, o lo que sea, aparte de que se supone que la mezcla de un eslavo o germano con levantino se considere como referencia Ashkenazi directamente.

Las empresas comerciales creo que tienen más métodos para diferenciar a los grupos étnicos, como los cm compartidos y el uso de herramientas como la triangulación pueden ayudar.

[mitalit]

Por eso, sigo sin comprender como puede nadie diferenciar que un componente levantino puede ser judío o palestino, o sirio, o lo que sea, aparte de que se supone que la mezcla de un eslavo o germano con levantino se considere como referencia Ashkenazi directamente.

Son poblaciones muy aisladas y son fáciles de diferenciar.

[gixajo]

Como me aburría he fabricado 3 samples de las provincias del País Vasco, a ver qué os parecen:


Fantasma:Vizcaya,0.12378250,0.14980730,0.04977350, 0.00937240,0.05159420,-0.00171990,-0.00097915,0.00262295,0.02709255,0.03797495,-0.00745085,0.00949155,-0.01980405,-0.01545270,0.01115610,-0.00015045,-0.00771880,0.00214725,-0.00306060,-0.00460420,0.00647200,0.00161375,-0.00729820,-0.00546855,0.00393171
Robasetas:Guipúzcoa,0.12378265,0.14913045,0.049710 85,0.00603470,0.05256870,0.00065080,-0.00231085,0.00093080,0.02777440,0.03994930,-0.00712605,0.01091525,-0.01811940,-0.01552170,0.01443625,0.00044640,-0.01032650,0.00206275,-0.00159425,-0.00347855,0.00740765,0.00252040,-0.00779120,-0.00456475,0.00596771
Patatero:Álava,0.11927715,0.14861415,0.04666550,0. 00037953,0.05069903,-0.00185928,-0.00822500,0.00219615,0.02789713,0.03698323,-0.00548470,0.00884213,-0.01631920,-0.01448135,0.01194563,0.00200220,-0.00421793,-0.00000320,-0.00208538,-0.00218745,0.00702083,0.00162078,-0.00412143,-0.00527470,-0.00527470

Las hice así:

Vizcaya=Basque_French+Spanish_Cantabria
Guipúzcoa=Basque_French+Spanish_Navarra
Álava=Basque_French+Spanish_Castilla_Y_León+Spanis h_Navarra+Spanish_La_Rioja

Y saldrían esto, solo con referencias de Spanish_X mas el Basque_French:


Target: Vizcaya
Distance: 0.3331% / 0.00333064
44.4 Spanish_Cantabria
44.2 Basque_French
5.6 Spanish_Pais_Vasco
4.2 Spanish_Navarra
1.0 Spanish_Asturias
0.4 Spanish_Pirineu
0.2 Spanish_La_Rioja

Target: Guipúzcoa
Distance: 0.3410% / 0.00341007
50.2 Spanish_Navarra
42.4 Basque_French
7.0 Spanish_Pais_Vasco
0.4 Spanish_Asturias

Target: Álava
Distance: 0.8311% / 0.00831109
29.4 Basque_French
22.0 Spanish_Castilla_Y_Leon
20.6 Spanish_La_Rioja
10.8 Spanish_Castilla_La_Mancha
8.6 Spanish_Navarra
5.6 Spanish_Soria
1.6 Spanish_Canarias
1.2 Spanish_Galicia
0.2 Spanish_Asturias


Son mejorables, pero no me parece que hayan quedado mal.

[gixajo]

Tampoco están tan mal, no?

https://i.imgur.com/T7i5Tvg.png

[gixajo]

Supongo que todos o casi todos los que andamos por aquí ahora mismo saldremos más cercanos a Álava, aunque las distancias indican más que los porcentajes del resultado.

Target: gixajo_scaled
Distance: 1.9660% / 0.01966014
72.8 Patatero
27.2 Fantasma

Target: gixajo_scaled
Distance: 1.9661% / 0.01966146 | ADC: 0.25x
74.2 Patatero
25.8 Fantasma

Distance to: gixajo_scaled
0.02022888 Patatero:Álava
0.02346631 Fantasma:Vizcaya
0.02518491 Robasetas:Guipúzcoa

[Defcon2]

Supongo que todos o casi todos los que andamos por aquí ahora mismo saldremos más cercanos a Álava, aunque las distancias indican más que los porcentajes del resultado.

Target: gixajo_scaled
Distance: 1.9660% / 0.01966014
72.8 Patatero
27.2 Fantasma

Target: gixajo_scaled
Distance: 1.9661% / 0.01966146 | ADC: 0.25x
74.2 Patatero
25.8 Fantasma

Distance to: gixajo_scaled
0.02022888 Patatero:Álava
0.02346631 Fantasma:Vizcaya
0.02518491 Robasetas:Guipúzcoa

Lol.

Target: Juan_scaled
Distance: 4.0793% / 0.04079339
100.0 Patatero

Distance to: Juan_scaled
0.04079339 Patatero:Álava
0.04494617 Fantasma:Vizcaya
0.04585620 Robasetas:Guipúzcoa

[mitalit]

Que ha pasado con Nassbean? Alguien sabe algo?

[mitalit]

Target: Xabier_scaled
Distance: 3.7646% / 0.03764560
79.4 Patatero
20.6 Fantasma



https://www.youtube.com/watch?v=zeft9c6CITs

[Rocinante]

Que ha pasado con Nassbean? Alguien sabe algo?

Yo ya se toda la historia, hago el resumen:

Lo han baneado permanentemente por una discusión con Gota y con Zeno, en el cual Nassbean decía que el futuro de Europa era la substitución de su población actual por magrebies, entonces nada, estos pelearon con el y se llevo un baneo permanente por ello. Evidentemente (y se que no van a estar de acuerdo muchos por aquí), esas cosas lo dijo en caliente y a causa de insultos racistas muy fuertes a su persona, pero si, estuvo mal y delicado que comentara eso en un foro de Cultura Europea.

He estado pensando en crear un thread de apoyo, pero honestamente... No se si vaya a tener repercusión.

[mitalit]

Yo ya se toda la historia, hago el resumen:

Lo han baneado permanentemente por una discusión con Gota y con Zeno, en el cual Nassbean decía que el futuro de Europa era la substitución de su población actual por magrebies, entonces nada, estos pelearon con el y se llevo un baneo permanente por ello. Evidentemente (y se que no van a estar de acuerdo muchos por aquí), esas cosas lo dijo en caliente y a causa de insultos racistas muy fuertes a su persona, pero si, estuvo mal y delicado que comentara eso en un foro de Cultura Europea.

He estado pensando en crear un thread de apoyo, pero honestamente... No se si vaya a tener repercusión.

Jo tío, a mi me caía bien esta claro que lo decía para trollear... A los villanos como nass no se les banea, no me gusta nada eso de que baneen a las personas (a no ser que suban fotos o hagan amenazas fuertes).
Lo de crear el hilo puede estar bien aunque probablemente reciba mucho hate.

[Rocinante]

Jo tío, a mi me caía bien esta claro que lo decía para trollear... A los villanos como nass no se les banea, no me gusta nada eso de que baneen a las personas (a no ser que suban fotos o hagan amenazas fuertes).
Lo de crear el hilo puede estar bien aunque probablemente reciba mucho hate.

Ese es el problema que yo se que voy a crear el hilo y el holandes, el griego y posiblemente el aleman se pongan como unos Toros Bravos a darme por culo y ya te digo... Necesitare las esferas del dragon para volver a revivirme, porque un segundo baneo seria ya la muerte para siempre de Rocinante.

Yo no estoy de acuerdo en los insultos tan fuertes racialmente a la gente que se sabe que puede salir afectada, una cosa es que yo me burle del haplogrupo de alguien europeo que se que no va a pasar nada ni le va a doler porque es una tonteria, pero que te burles de un inmigrante magrebi en Belgica diciendo del mal que se va a morir, creo que esos limites son ya... No se deberian cruzar, en pocas palabras.

[mitalit]

Ese es el problema que yo se que voy a crear el hilo y el holandes, el griego y posiblemente el aleman se pongan como unos Toros Bravos a darme por culo y ya te digo... Necesitare las esferas del dragon para volver a revivirme, porque un segundo baneo seria ya la muerte para siempre de Rocinante.

Yo no estoy de acuerdo en los insultos tan fuertes racialmente a la gente que se sabe que puede salir afectada, una cosa es que yo me burle del haplogrupo de alguien europeo que se que no va a pasar nada ni le va a doler porque es una tonteria, pero que te burles de un inmigrante magrebi en Belgica diciendo del mal que se va a morir, creo que esos limites son ya... No se deberian cruzar, en pocas palabras.
Yo abogo por una libertad casi total, Nass muchas veces provoca y sabe defenderse sólito. Me parece algo bueno que este foto tenga a subnormales como Sean animándolo un poco.
Si haces el post se va a llenar de Thumbs Down y probablemente sea un multipage.

[Damião de Góis]

Eu sempre me dei bem com ele, apesar de discordar com ele em quase tudo. As nossa discussões sempre foram feitas com respeito mútuo e sem insultos. Penso que ele trazia um ponto de vista diferente e criava tópicos/discussões interessantes em torno da Península Ibérica.

[gixajo]

Yo le pregunté a Adamm en un hilo, cuando me enteré que estaba baneado, pero no me respondió o me respondió sin hacerme quote.

Opino lo mismo que habéis dicho, cuando se pone en modo troll nacionalista bereber mejor no tomarlo muy en serio, pero aparte de eso, tiene bastantes conocimientos de su gente y hacía , cuando quería aportes interesantes.

Aquí hay unas jerarquías, y no tratan igual a unos o a otros, después de lo de Rocinante está claro, y supongo que diría lo que dijo después de escuchar de los otros vete a saber qué.

Así que abriré un thread de apoyo o algo similar, sé de dos que en cuanto lo vean van a venir a tocar las narices, pero, qué le vamos a hacer. Paciencia.

[Rocinante]

Yo le pregunté a Adamm en un hilo, cuando me enteré que estaba baneado, pero no me respondió o me respondió sin hacerme quote.

Opino lo mismo que habéis dicho, cuando se pone en modo troll nacionalista bereber mejor no tomarlo muy en serio, pero aparte de eso, tiene bastantes conocimientos de su gente y hacía , cuando quería aportes interesantes.

Aquí hay unas jerarquías, y no tratan igual a unos o a otros, después de lo de Rocinante está claro, y supongo que diría lo que dijo después de escuchar de los otros vete a saber qué.

Así que abriré un thread de apoyo o algo similar, sé de dos que en cuanto lo vean van a venir a tocar las narices, pero, qué le vamos a hacer. Paciencia.

Cuenta conmigo con ese thread, daré apoyo máximo en los post y los quotes que te hagan, ya que yo no tuve los cojones de crear el thread por miedo a morir de nuevo, porque se que lo harán (por como te quieren en este foro, dudo que te vayan a banear, pero los verdaderos 3 chiflados te van a dar por culo).

[PT Tagus]

Nada contra ele, mas tem uma visão estereotipada dos portugueses, aliás como muita gente aqui, o que depois acaba por se reflectir em discussões sem nexo nenhum.

[gixajo]

Cuenta conmigo con ese thread, daré apoyo máximo en los post y los quotes que te hagan, ya que yo no tuve los cojones de crear el thread por miedo a morir de nuevo, porque se que lo harán (por como te quieren en este foro, dudo que te vayan a banear, pero los verdaderos 3 chiflados te van a dar por culo).

Nada, no pienso meterme en discusiones, y ni se te ocurra meterte a tí, que en caso de trifulca a los que nos echan es a nosotros.

Además si no es cuestión de posicionarme en lo de la discusión por la que fue baneado, porque ni la he leido ni quiero leerla, siempre son iguales, se van caldeando los ánimos poco a poco, van subiendo el tono de los ataques,y se convierte en una competición de a ver quien suelta lo más bestia.

Luego llega un moderador,con chivatazo o no y banea al que más cómodo le resulte banear.

Si seguro que dijo algo por lo que mereciese el baneo, el caso es que muchos merecen ser baneados muchas veces y no les pasa nunca nada.

[Luso]

¿Alguien sabe por qué con certeza fue prohibido? No sé si es un doble estándar ... y no quiero arrojar a nadie debajo del autobús ... pero aquí el nacionalismo está claramente permitido a granel. Viejo es un buen ejemplo de nacionalismo difundido aquí. Tal vez a los administradores o propietarios no les gustó que estuviera siendo tan nacionalista sobre un lugar no europeo (África del Norte) que no sé. Honestamente, aunque a veces ha sido molesto con sus temas, nunca insulta tanto a la gente ... y al final siempre es una buena discusión. No tiene sentido para mí por qué fue prohibido.

[Rocinante]

¿Alguien sabe por qué con certeza fue prohibido? No sé si es un doble estándar ... y no quiero arrojar a nadie debajo del autobús ... pero aquí el nacionalismo está claramente permitido a granel. Viejo es un buen ejemplo de nacionalismo difundido aquí. Tal vez a los administradores o propietarios no les gustó que estuviera siendo tan nacionalista sobre un lugar no europeo (África del Norte) que no sé. Honestamente, aunque a veces ha sido molesto con sus temas, nunca insulta tanto a la gente ... y al final siempre es una buena discusión. No tiene sentido para mí por qué fue prohibido.

La cosa es que Viejo transmite un nacionalismo europeo, Nassbean transmite un nacionalismo norafricano (fuera de Marruecos) y esto es un foro de Cultura Europea. Creo que por ahi van los tiros.

[Duffmannn]

Ser nacionalista viviendo en un país extranjero es una cosa muy ridícula. Al estilo de ser antitaurino y comer carne. O ser feminista y tener pene.

[Rocinante]

Ojo que yo no como carne, no soy feminista, y soy nacionalista español (y venezolano) de toda la vida, por si eso fue conmigo.

[Rocinante]

De viejo vas a comer sopita de maíz

De viejo voy a hacerme esto con mis nietos:

https://www.lineavz.com/images/blog-2018/grigliata-vegana.jpg

https://www.thespruceeats.com/thmb/jqNHZBub7wxzAg7Ic83hBkvexdQ=/960x0/filters:no_upscale():max_bytes(150000):strip_icc() :format(webp)/GettyImages-89011574-5b0b898b04d1cf0036ce5512.jpg

[Rocinante]

¿Y si a tus nietos no les gusta esa comida?

A quién no le gustan los vegetales a la parrilla?

[gixajo]

Una vez leí que asociaban los Grupos Sanguíneos acorde a las razas o etnias ¿Eso por qué se debe?

Las etnias son grupos de población que en teoría se han mezclado tradicionalmente con gente de su mismo grupo de población mayoritariamente, por lo que se supone que si el grupo sanguíneo es hereditario, gente del mismo grupo poblacional tendrán un grupo sanguíneo determinado común (o varios) en mayor proporción.

El caso paradigmático de esto es el RH negativo de los vascos, que en realidad no es que sea mayoritario en esa población, si no que tiene una incidencia mayor que en otras. Creo que es un error generalizar de esa forma, porque hay gente que no atiende los matices, se queda con el "titular", y luego se cree que si cualquiera tiene RH negativo es vasco, y que si no lo tienes, no lo eres, y cosas así.

Me hace gracia, porque en estadística siempre se recuerda la frase "correlación no implica causalidad", y sin embargo, la enorme mayoría de gente interpreta justo lo contrario cuando ve estadísticas, que la correlación implica causalidad.

Aquí se hacen montones de posts precisamente pensando en eso y poniendo cualquier estadística intentando demostrar algún punto , de que la correlación implica causalidad.

Por ejemplo lo de Sean publicando estadísticas de mujeres que se dedican a ser modelos en cada país, y los principales países son del Norte de Europa, ¿Implica eso que sean más atractivas? No, puede implicar otras cosas igualmente , por ejemplo, que en esos países curiosamente es donde hay mujeres más altas, (las modelos tienen que ser más altas que la media) o que en esos países hay mujeres con pelo más claro y mayor proporción de ojos claros ( las modelos tienen que tener características físicas que llamen la atención por ser poco habituales, y esas características son en todo el mundo, poco habituales).

también podría implicar esa misma estadística otras cosas, por ejemplo, lo bien visto que esté esa determinada profesión en cada país, o la oportunidad que puede suponer como salida profesional a una mujer en un mercado laboral con pocas opciones para las mujeres.

[gixajo]

Una vez leí que asociaban los Grupos Sanguíneos acorde a las razas o etnias ¿Eso por qué se debe?

Las etnias son grupos de población que en teoría se han mezclado tradicionalmente con gente de su mismo grupo de población mayoritariamente, por lo que se supone que si el grupo sanguíneo es hereditario, gente del mismo grupo poblacional tendrán un grupo sanguíneo determinado común (o varios) en mayor proporción.

El caso paradigmático de esto es el RH negativo de los vascos, que en realidad no es que sea mayoritario en esa población, si no que tiene una incidencia mayor que en otras. Creo que es un error generalizar de esa forma, porque hay gente que no atiende los matices, se queda con el "titular", y luego se cree que si cualquiera tiene RH negativo es vasco, y que si no lo tienes, no lo eres, y cosas así.

Me hace gracia, porque en estadística siempre se recuerda la frase "correlación no implica causalidad", y sin embargo, la enorme mayoría de gente interpreta justo lo contrario cuando ve estadísticas, que la correlación implica causalidad.

Aquí se hacen montones de posts precisamente pensando en eso y poniendo cualquier estadística intentando demostrar algún punto , de que la correlación implica causalidad.

Por ejemplo lo de Sean publicando estadísticas de mujeres que se dedican a ser modelos en cada país, y los principales países son del Norte de Europa, ¿Implica eso que sean más atractivas? No, puede implicar otras cosas igualmente , por ejemplo, que en esos países curiosamente es donde hay mujeres más altas, (las modelos tienen que ser más altas que la media) o que en esos países hay mujeres con pelo más claro y mayor proporción de ojos claros ( las modelos tienen que tener características físicas que llamen la atención por ser poco habituales, y esas características son en todo el mundo, poco habituales).

también podría implicar esa misma estadística otras cosas, por ejemplo, lo bien visto que esté esa determinada profesión en cada país, o la oportunidad que puede suponer como salida profesional a una mujer en un mercado laboral con pocas opciones para las mujeres.

[Gota_type_]

Yo ya se toda la historia, hago el resumen:

Lo han baneado permanentemente por una discusión con Gota y con Zeno, en el cual Nassbean decía que el futuro de Europa era la substitución de su población actual por magrebies, entonces nada, estos pelearon con el y se llevo un baneo permanente por ello. Evidentemente (y se que no van a estar de acuerdo muchos por aquí), esas cosas lo dijo en caliente y a causa de insultos racistas muy fuertes a su persona, pero si, estuvo mal y delicado que comentara eso en un foro de Cultura Europea.

He estado pensando en crear un thread de apoyo, pero honestamente... No se si vaya a tener repercusión.



Nada, no pienso meterme en discusiones, y ni se te ocurra meterte a tí, que en caso de trifulca a los que nos echan es a nosotros.

Además si no es cuestión de posicionarme en lo de la discusión por la que fue baneado, porque ni la he leido ni quiero leerla, siempre son iguales, se van caldeando los ánimos poco a poco, van subiendo el tono de los ataques,y se convierte en una competición de a ver quien suelta lo más bestia.

Luego llega un moderador,con chivatazo o no y banea al que más cómodo le resulte banear.

Si seguro que dijo algo por lo que mereciese el baneo, el caso es que muchos merecen ser baneados muchas veces y no les pasa nunca nada.


Llevaba 5-6 días sin meterme en el foro y me acabo de enterar q han baneado al moro y que supuestamente es por una discusión? conmigo? En realidad me la suda, bien baneado está por haberse tirado destruyendo hilos que no tenían nada q ver con su cultura-etnia y que sí tenían que ver con España. Él solito se metió en el hilo de la Reconquista y la suma de sus posts serían como 20 páginas, lo cual es directamente joder un hilo pq se puso a hablar de bereberes y de cualquier estupidez que pusiera mal a España (siendo falsa además).
El que haya dicho eso de que nos sustituirán los moros en Europa y lo diga supuestamente un moro "normal" y con cierta educación cultural ya nos dice q en todos ellos hay ese sentimiento y que todos ellos quieren lo peor para nosotros. Así que no entiendo que le defendáis, haced lo que queráis pero ese moro (como todos los moros) nos odian de una manera más velada o más directa pero nos odian.

Y yo que iba a poner las noticias de los últimos días de un moro robando a una anciana los pendientes cortándole las orejas, en Barcelona.
Del moro que echó sosa caustica a una española hace pocos días (las televisiones nunca han dicho su nacionalidad: marroquí).
Del moro que hace 2 días salió corriendo por haber robado en Vitoria y le tuvieron que detener a hostias.
Y de las miles de noticias que ni nos enteraremos.

Dejad (es un consejo) de contemporizar con los moros, TODOS nos odian y quieren lo peor para nosotros. Que haya 1 entre 1000 q no nos odie....todavía... es una excusa temporal. Al final no dudarían en cortarnos la cabeza cuando se den las circunstancias.

Que hubiera aprendido a no joder decenas de hilos relacionados con España, que directamente los boicoteaba y los diluía con sus estupideces bereberes. Y q encima diga lo de la sustitución étnica (pues es obvio q la desea) pues: bien baneado está. El no abriría un hilo a favor de vosotros si os banearan. En cualquier caso simplemente voy a decir esto, no voy a seguir hablando del moro aunque me citéis, no merecen más tiempo del q ya nos quitaron.

[gixajo]

Llevaba 5-6 días sin meterme en el foro y me acabo de enterar q han baneado al moro y que supuestamente es por una discusión? conmigo? En realidad me la suda, bien baneado está por haberse tirado destruyendo hilos que no tenían nada q ver con su cultura-etnia y que sí tenían que ver con España. Él solito se metió en el hilo de la Reconquista y la suma de sus posts serían como 20 páginas, lo cual es directamente joder un hilo pq se puso a hablar de bereberes y de cualquier estupidez que pusiera mal a España (siendo falsa además).
El que haya dicho eso de que nos sustituirán los moros en Europa y lo diga supuestamente un moro "normal" y con cierta educación cultural ya nos dice q en todos ellos hay ese sentimiento y que todos ellos quieren lo peor para nosotros. Así que no entiendo que le defendáis, haced lo que queráis pero ese moro (como todos los moros) nos odian de una manera más velada o más directa pero nos odian.

Y yo que iba a poner las noticias de los últimos días de un moro robando a una anciana los pendientes cortándole las orejas, en Barcelona.
Del moro que echó sosa caustica a una española hace pocos días (las televisiones nunca han dicho su nacionalidad: marroquí).
Del moro que hace 2 días salió corriendo por haber robado en Vitoria y le tuvieron que detener a hostias.
Y de las miles de noticias que ni nos enteraremos.

Dejad (es un consejo) de contemporizar con los moros, TODOS nos odian y quieren lo peor para nosotros. Que haya 1 entre 1000 q no nos odie....todavía... es una excusa temporal. Al final no dudarían en cortarnos la cabeza cuando se den las circunstancias.

Que hubiera aprendido a no joder decenas de hilos relacionados con España, que directamente los boicoteaba y los diluía con sus estupideces bereberes. Y q encima diga lo de la sustitución étnica (pues es obvio q la desea) pues: bien baneado está. El no abriría un hilo a favor de vosotros si os banearan. En cualquier caso simplemente voy a decir esto, no voy a seguir hablando del moro aunque me citéis, no merecen más tiempo del q ya nos quitaron.

Todo eso que dices, es cierto, pero yo no contemporizo con los moros, yo solo digo que prefiero que Nassbean vuelva.

Y en cuanto a la discusión en sí, tampoco defiendo lo que dijo, ni mucho menos me pongo de su parte o en contra tuya o de cualquiera que discutiera con él.

Ya expliqué mis motivos y mi posición, creo que con bastante claridad, en este post y en cada post relacionado con estos temas.

[Rocinante]

Es normal que muchos españoles estén preocupados por el tema de la inmigración pero yo creo que si les preguntas siempre preferirán a un sudamericano antes que a un moro o a un chino (yo al menos me entiendo mejor con ellos)- También es normal que los españoles muchas veces reaccionemos frente a ataques de esos acomplejados a los que te refieres pero siempre hay que saber distinguir, en general si alguien te tiende la mano honradamente hay que aceptarla.

El padre de Gaska era gallego no? O era la madre? Es que el clado que tiene es el tipico de los ibericos occidentales (el que hay en el fondo de mi alma).

[Rocinante]

Llevaba 5-6 días sin meterme en el foro y me acabo de enterar q han baneado al moro y que supuestamente es por una discusión? conmigo? En realidad me la suda, bien baneado está por haberse tirado destruyendo hilos que no tenían nada q ver con su cultura-etnia y que sí tenían que ver con España. Él solito se metió en el hilo de la Reconquista y la suma de sus posts serían como 20 páginas, lo cual es directamente joder un hilo pq se puso a hablar de bereberes y de cualquier estupidez que pusiera mal a España (siendo falsa además).
El que haya dicho eso de que nos sustituirán los moros en Europa y lo diga supuestamente un moro "normal" y con cierta educación cultural ya nos dice q en todos ellos hay ese sentimiento y que todos ellos quieren lo peor para nosotros. Así que no entiendo que le defendáis, haced lo que queráis pero ese moro (como todos los moros) nos odian de una manera más velada o más directa pero nos odian.

Y yo que iba a poner las noticias de los últimos días de un moro robando a una anciana los pendientes cortándole las orejas, en Barcelona.
Del moro que echó sosa caustica a una española hace pocos días (las televisiones nunca han dicho su nacionalidad: marroquí).
Del moro que hace 2 días salió corriendo por haber robado en Vitoria y le tuvieron que detener a hostias.
Y de las miles de noticias que ni nos enteraremos.

Dejad (es un consejo) de contemporizar con los moros, TODOS nos odian y quieren lo peor para nosotros. Que haya 1 entre 1000 q no nos odie....todavía... es una excusa temporal. Al final no dudarían en cortarnos la cabeza cuando se den las circunstancias.

Que hubiera aprendido a no joder decenas de hilos relacionados con España, que directamente los boicoteaba y los diluía con sus estupideces bereberes. Y q encima diga lo de la sustitución étnica (pues es obvio q la desea) pues: bien baneado está. El no abriría un hilo a favor de vosotros si os banearan. En cualquier caso simplemente voy a decir esto, no voy a seguir hablando del moro aunque me citéis, no merecen más tiempo del q ya nos quitaron.

Me dijo un miembro de esto foro por PM que Nassbean le comento por FB que fue por una discusion contigo, y luego el user Zeno me dijo que tambien fue por el, a raiz de los comentarios que el habia hecho sobre una posible conquista de los moros de Europa, bueno, tonterias, se paso y aca estan las consecuencias de decir esas cosas, pero yo le conozco en este foro, y se puede discutir tranquilamente de temas de genetica con el, le tengo algo de estima. Tener en cuenta que el no vive en España.

Y estoy de acuerdo con todo lo que dices, si lo he comentado mucho, hay que frenar de golpe la inmigracion, al menos, de paises que se sabe que traen en su mayoria gente con alto indice delictivo, es algo de necesidad y no de racismo.

Y otra cosa, yo te tengo estima porque me has tratado como un igual, a pesar de yo venir de fuera (porque es la realidad) y porque no soy 100% español, no tengo nada en tu contra, aunque si hay cosillas que no comparto, pero se han dicho cosas muchisimo peores en este foro.

[gixajo]

El padre de Gaska era gallego no? O era la madre? Es que el clado que tiene es el tipico de los ibericos occidentales (el que hay en el fondo de mi alma).

Creo que uno de sus padres era de Valdegobía, en Álava occidental, pegando al Norte de Burgos, y el otro del Norte de la provincia de Burgos. Igual hasta eran pueblos vecinos, uno a cada lado de la frontera entre provincias. Es lo que me suena, pero igual es como tú dices.

Ya pedí los G25 de mis padres, pero me hago una idea de sus resultados.

[Rocinante]

Creo que uno de sus padres era de Valdegobía, en Álava occidental, pegando al Norte de Burgos, y el otro del Norte de la provincia de Burgos. Igual hasta eran pueblos vecinos, uno a cada lado de la frontera entre provincias. Es lo que me suena, pero igual es como tú dices.

Ya pedí los G25 de mis padres, pero me hago una idea de sus resultados.

Yo me hago la idea de que tu padre sacara unos resultados avg peninsular, y tu madre sera como un 75% basque y 25% peninsular, yo me lo estoy imaginando asi. Sera interesantisimo.

[gixajo]

Un calculador chorra con referencias hechas con medias de poblaciones del ancient averages, a ver que sale.

Hispania visigoda justo antes de la invasión musulmana.

SCALED


Hispanorromano,0.11075620,0.14823927,0.03684240,-0.00762640,0.04099043,-0.00625157,-0.00031343,0.00360280,0.02560540,0.03226583,-0.00317560,0.00831757,-0.01097193,-0.00917127,0.00501773,-0.00104973,-0.00112637,0.00021823,-0.00158843,-0.00119860,-0.00360817,-0.00111980,-0.00117097,-0.00317307,-0.00123410
Visigodo,0.12311853,0.13418530,0.05998733,0.033915 01,0.03767902,0.01055160,0.00679167,0.00819937,0.0 0801050,0.00724680,-0.00579200,0.00361667,-0.00736353,-0.00357393,0.00249277,-0.00301840,-0.00479803,-0.00135987,-0.00000420,-0.00019997,0.00370597,0.00165673,-0.00176277,0.00267100,-0.00250263
Judío,0.09177000,0.15766125,-0.04530140,-0.08765410,-0.00073085,-0.03503590,-0.00076360,-0.00294225,0.01572275,0.02599150,0.01130650,-0.00237940,0.00312190,0.01826925,-0.01221500,-0.00442535,-0.01201175,0.00323060,0.00565640,0.00220440,-0.00474175,0.01218001,-0.00164840,-0.00162675,-0.00082350


Hispanorromano=Iberia_Northeast_c.6-8CE_ES,+Iberia_Southeast_c.10-16CE+ITA_Ardea_Latini_IA
Visigodo=CZE_Early_Slav,+DEU_MA,+DEU_Singen_EBA
Judío=Levant_Yehud_IBA,+Levant_Ashkelon_IA1

[gixajo]

Target: gixajo_scaled
Distance: 2.1629% / 0.02162891
82.2 Hispanorromano
17.8 Visigodo

Target: gixajo_scaled
Distance: 2.1647% / 0.02164728 | ADC: 0.25x
83.6 Hispanorromano
16.4 Visigodo

Distance to: gixajo_scaled
0.02445343 Hispanorromano
0.05698438 Visigodo
0.15236959 Judío

[Luso]

Un calculador chorra con referencias hechas con medias de poblaciones del ancient averages, a ver que sale.

Hispania visigoda justo antes de la invasión musulmana.

SCALED


Hispanorromano,0.11075620,0.14823927,0.03684240,-0.00762640,0.04099043,-0.00625157,-0.00031343,0.00360280,0.02560540,0.03226583,-0.00317560,0.00831757,-0.01097193,-0.00917127,0.00501773,-0.00104973,-0.00112637,0.00021823,-0.00158843,-0.00119860,-0.00360817,-0.00111980,-0.00117097,-0.00317307,-0.00123410
Visigodo,0.12311853,0.13418530,0.05998733,0.033915 01,0.03767902,0.01055160,0.00679167,0.00819937,0.0 0801050,0.00724680,-0.00579200,0.00361667,-0.00736353,-0.00357393,0.00249277,-0.00301840,-0.00479803,-0.00135987,-0.00000420,-0.00019997,0.00370597,0.00165673,-0.00176277,0.00267100,-0.00250263
Judío,0.09177000,0.15766125,-0.04530140,-0.08765410,-0.00073085,-0.03503590,-0.00076360,-0.00294225,0.01572275,0.02599150,0.01130650,-0.00237940,0.00312190,0.01826925,-0.01221500,-0.00442535,-0.01201175,0.00323060,0.00565640,0.00220440,-0.00474175,0.01218001,-0.00164840,-0.00162675,-0.00082350


Hispanorromano=Iberia_Northeast_c.6-8CE_ES,+Iberia_Southeast_c.10-16CE+ITA_Ardea_Latini_IA
Visigodo=CZE_Early_Slav,+DEU_MA,+DEU_Singen_EBA
Judío=Levant_Yehud_IBA,+Levant_Ashkelon_IA1

Target: Josef_scaled
Distance: 3.1412% / 0.03141203
86.4 Hispanorromano
11.6 Visigodo
2.0 Judío

[gixajo]

Una buena idea para un calculador , sería tomando como referencia todas las posesiones del Imperio Español hacia 1580, sería bastante troll, sin ser troll.

Sería gracioso ver unas sources y un resultado con cosas tipo Spanish_Empire:Dutch,Spanish_Empire:Calabria, Spanish_Empire:Belgium, Spanish_Empire:East_Germany.

Si es que hay alguien aparte de nosotros que se atreviera a postear los resultados sin tocas las sources...;)