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Thread: K15 World - new DIY calculator

  1. #21
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    R-Y17491 > R-YP4858
    mtDNA
    A8a

    Pakistan United States of America
    Quote Originally Posted by kevinduffy View Post
    I think there is something wrong with the oracles for this application. They seem to be for K12 instead of K15.
    If you did the K12 recently, when you opened admix4, it automatically went to the folder that had K12dots and K12comma files (because it's the last file/folder you used when you last ran admix4). You'll have to navigate to the K15 folder and go into that admix4 subfolder and the k15dots file will be there.
    “Chahar chez est tohfay Multan, Gard-o- Garma, Gada-o- Goristan”.

    Four things are the gift of Multan: Dusty winds, hot seasons, beggars and graveyards.




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  3. #22
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    A8a

    Pakistan United States of America
    I'm going to run my family's oracle-4 real quick. If anyone already has their results posted and wants me to run their oracle, let me know.
    I'll run a few more people's genomes in the calculator, I'm just going in order of my list. If anyone is in the thread right now and I have their genome, let me know I'll do yours first. I won't run everyone. I am doing some stuff on PLINK right now and R is slowing stuff down.
    “Chahar chez est tohfay Multan, Gard-o- Garma, Gada-o- Goristan”.

    Four things are the gift of Multan: Dusty winds, hot seasons, beggars and graveyards.




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     jortita (11-24-2017)

  5. #23
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    M30

    Quote Originally Posted by khanabadoshi View Post
    I'm going to run my family's oracle-4 real quick. If anyone already has their results posted and wants me to run their oracle, let me know.
    I'll run a few more people's genomes in the calculator, I'm just going in order of my list. If anyone is in the thread right now and I have their genome, let me know I'll do yours first. I won't run everyone. I am doing some stuff on PLINK right now and R is slowing stuff down.
    Khana do mine please, I have a gedmatch genesis kit now which has slight differences - genesis is meant to be the software used for 23andme v5 - ill pm you the kit number - its defo more accurate because it has reduced some of the components that are at <1% noise levels

  6. #24
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    A8a

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    Quote Originally Posted by bmoney View Post
    Khana do mine please, I have a gedmatch genesis kit now which has slight differences - genesis is meant to be the software used for 23andme v5 - ill pm you the kit number - its defo more accurate because it has reduced some of the components that are at <1% noise levels
    Do I have your raw data? (I can't remember). I need the raw data to run a DIY calc.
    Unless you already ran the calc and just want me to run the Oracle-4? Then all I need is your scores.
    “Chahar chez est tohfay Multan, Gard-o- Garma, Gada-o- Goristan”.

    Four things are the gift of Multan: Dusty winds, hot seasons, beggars and graveyards.




  7. #25
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    Quote Originally Posted by khanabadoshi View Post
    Do I have your raw data? (I can't remember). I need the raw data to run a DIY calc.
    Unless you already ran the calc and just want me to run the Oracle-4? Then all I need is your scores.
    Ill send it to you PM me your email

  8. #26
    Gold Member Class
    Posts
    1,898
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    Pennsylvania
    Ethnicity
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    Nationality
    USA
    Y-DNA
    R1b-U152-Z36+FGC6511
    mtDNA
    H11a2a

    United States of America Germany England France Scotland Ireland
    Me:

    0.00% West-African
    1.40% Siberian
    0.10% South-Indian
    0.00% Ne-Asian
    7.29% Kalash
    0.00% Papuan
    0.89% Paleo-African
    1.38% Samoyedic
    42.06% NE-Euro
    0.08% SE-Asian
    0.00% Tibeto-Burmese
    35.89% SW-Euro
    7.92% Caucasian
    0.22% Amerindian
    2.76% Red-Sea

    Oracles:

    Code:
    Least-squares method.
    
    Using 1 population approximation:
    1 French_East @ 1.926434
    2 French_Northwest @ 2.454467
    3 French_central @ 3.306619
    4 English_Kent_GBR @ 7.311038
    5 French_West @ 7.671873
    6 CEU @ 8.786794
    7 english @ 10.275461
    8 Orcadian @ 10.279947
    9 Irish @ 10.533104
    10 Scottish_Argyll_Bute_GBR @ 10.853825
    424 iterations.
    
    Using 2 populations approximation:
    1 French_East+French_East @ 1.926434
    2 Icelandic+Spanish_Baleares_IBS @ 1.986829
    3 Spanish_Baleares_IBS+Sweden @ 2.039507
    4 French_East+French_Northwest @ 2.096792
    5 German+Spanish @ 2.260839
    6 German+Spanish_Cataluna_IBS @ 2.319787
    7 French_central+French_East @ 2.344604
    8 French_central+French_Northwest @ 2.414606
    9 French_Northwest+French_Northwest @ 2.454467
    10 Spanish_Andalucia_IBS+Sweden @ 2.617482
    90100 iterations.
    
    Using 3 populations approximation:
    1 50% Spanish_Baleares_IBS +25% Icelandic +25% Sweden @ 1.509305
    2 50% French_West +25% Serbian_B-H +25% Spanish_Andalucia_IBS @ 1.646709
    3 50% Irish +25% Montenegro +25% Spanish_Andalucia_IBS @ 1.652118
    4 50% Orcadian +25% Gagauz +25% Spanish_Pais_Vasco_IBS @ 1.676565
    5 50% Spanish_Baleares_IBS +25% Czech +25% Norwegian2 @ 1.6802
    6 50% Irish +25% Serbian_Serbia +25% Spanish_Andalucia_IBS @ 1.687885
    7 50% French_West +25% Serbian_Serbia +25% Spanish_Galicia_IBS @ 1.699269
    8 50% Spanish_Baleares_IBS +25% Norwegian2 +25% Volga-German @ 1.700299
    9 50% Orcadian +25% Montenegro +25% Spanish_Aragon_IBS @ 1.714106
    10 50% Spanish_Baleares_IBS +25% Norwegian2 +25% Sweden @ 1.718969
    10648356 iterations.
    
    Using 4 populations approximation:
    1 French_central+Scottish1+Slovenian+Spanish_Baleares_IBS @ 1.504191
    2 French_central+Scottish2+Slovenian+Spanish_Baleares_IBS @ 1.504191
    3 Icelandic+Spanish_Baleares_IBS+Spanish_Baleares_IBS+Sweden @ 1.509305
    4 english+English_Cornwall_GBR+GreeceThessaly+Spanish_Pais_Vasco_IBS @ 1.524643
    5 Kosovo+Scottish1+Spanish_Pais_Vasco_IBS+Volga-German @ 1.556252
    6 Kosovo+Scottish2+Spanish_Pais_Vasco_IBS+Volga-German @ 1.556252
    7 English_Kent_GBR+Macedonian+Norwegian2+Spanish_Aragon_IBS @ 1.561617
    8 Scottish1+Spanish_Baleares_IBS+Spanish_Cataluna_IBS+Ukraine_West @ 1.572826
    9 Scottish2+Spanish_Baleares_IBS+Spanish_Cataluna_IBS+Ukraine_West @ 1.572826
    10 English_Cornwall_GBR+GreeceThessaly+Scottish1+Spanish_Pais_Vasco_IBS @ 1.577938
    11 English_Cornwall_GBR+GreeceThessaly+Scottish2+Spanish_Pais_Vasco_IBS @ 1.577938
    12 French_West+Macedonian+Norwegian2+Spanish_Aragon_IBS @ 1.582512
    13 GreeceCentral+Norwegian2+Spanish_Pais_Vasco_IBS+Sweden @ 1.585346
    14 Basque+Estonian+Italian_South+Scottish1 @ 1.588543
    15 Basque+Estonian+Italian_South+Scottish2 @ 1.588543
    16 Bulgaria+English_Kent_GBR+Norwegian2+Spanish_Castilla_la_Mancha_IBS @ 1.589565
    17 Bulgaria+English_Kent_GBR+Norwegian2+Spanish_Aragon_IBS @ 1.592758
    18 english+English_Cornwall_GBR+GreecePeloponese+Spanish_Pais_Vasco_IBS @ 1.59368
    19 Norwegian2+Spanish_Baleares_IBS+Spanish_Cataluna_IBS+Volga-German @ 1.599854
    20 English_Cornwall_GBR+French_West+Kosovo+Spanish_Pais_Vasco_IBS @ 1.600404
    37142982 iterations.
    
    
    Gaussian method.
    Noise dispersion set to 0.33296
    
    Using 1 population approximation:
    1 French_central @ 4.453777
    2 French_East @ 4.586018
    3 English_Kent_GBR @ 5.2927
    4 Spanish_Cataluna_IBS @ 5.340444
    5 German @ 5.430304
    6 French_Northwest @ 5.504783
    7 Spanish_Aragon_IBS @ 5.560492
    8 Spanish @ 5.59291
    9 CEU @ 5.673946
    10 Orcadian @ 5.710076
    424 iterations.
    
    Using 2 populations approximation:
    1 Icelandic+Spanish_Baleares_IBS @ 4.128171
    2 Irish+Spanish_Baleares_IBS @ 4.13614
    3 Scottish1+Serbian_Serbia @ 4.16055
    4 Scottish2+Serbian_Serbia @ 4.16055
    5 Norwegian2+Spanish_Baleares_IBS @ 4.169513
    6 Orcadian+Spanish_Baleares_IBS @ 4.16975
    7 German+Spanish_Pais_Vasco_IBS @ 4.183388
    8 English_Kent_GBR+Spanish_Baleares_IBS @ 4.208609
    9 Spanish_Pais_Vasco_IBS+Ukraine_PL @ 4.211937
    10 English_Kent_GBR+Spanish_Cataluna_IBS @ 4.22058
    90100 iterations.
    
    Using 3 populations approximation:
    1 50% English_Kent_GBR +25% Russian_Smolensk +25% sardinian @ 3.832464
    2 50% Scottish1 +25% Russian_Smolensk +25% sardinian @ 3.880503
    3 50% Scottish2 +25% Russian_Smolensk +25% sardinian @ 3.880503
    4 50% Orcadian +25% Russian_Smolensk +25% sardinian @ 3.883931
    5 50% Irish +25% Kosovo +25% Spanish_Pais_Vasco_IBS @ 3.898443
    6 50% English_Kent_GBR +25% Serbian_Serbia +25% Spanish_Pais_Vasco_IBS @ 3.900684
    7 50% Scottish1 +25% Russian_Ryazan +25% sardinian @ 3.902668
    8 50% Scottish2 +25% Russian_Ryazan +25% sardinian @ 3.902668
    9 50% Orcadian +25% Kosovo +25% Spanish_Pais_Vasco_IBS @ 3.905206
    10 50% English_Kent_GBR +25% Serbia_Serbia +25% Spanish_Pais_Vasco_IBS @ 3.910407
    30516892 iterations.
    
    Using 4 populations approximation:
    1 English_Kent_GBR+Russian_Smolensk+sardinian+Scottish1 @ 3.748088
    2 English_Kent_GBR+Russian_Smolensk+sardinian+Scottish2 @ 3.748088
    3 Basque+Kosovo+Russian_Smolensk+Scottish1 @ 3.760765
    4 Basque+Kosovo+Russian_Smolensk+Scottish2 @ 3.760765
    5 Orcadian+Russian_Smolensk+sardinian+Scottish1 @ 3.811176
    6 Orcadian+Russian_Smolensk+sardinian+Scottish2 @ 3.811176
    7 French_West+Russian_Smolensk+sardinian+Scottish1 @ 3.818861
    8 French_West+Russian_Smolensk+sardinian+Scottish2 @ 3.818861
    9 English_Kent_GBR+English_Kent_GBR+Russian_Smolensk+sardinian @ 3.832464
    10 Basque+ItalyAbruzzo+Russian_Smolensk+Scottish1 @ 3.843922
    11 Basque+ItalyAbruzzo+Russian_Smolensk+Scottish2 @ 3.843922
    12 english+English_Kent_GBR+Russian_Smolensk+sardinian @ 3.845847
    13 Basque+Italian_North+Russian_Smolensk+Scottish1 @ 3.854309
    14 Basque+Italian_North+Russian_Smolensk+Scottish2 @ 3.854309
    15 English_Kent_GBR+Orcadian+Russian_Smolensk+sardinian @ 3.854808
    16 Kosovo+Scottish1+Spanish_Pais_Vasco_IBS+Sweden @ 3.85712
    17 Kosovo+Scottish2+Spanish_Pais_Vasco_IBS+Sweden @ 3.85712
    18 Scottish1+Spanish_Baleares_IBS+Spanish_Pais_Vasco_IBS+Ukraine_PL @ 3.860356
    19 Scottish2+Spanish_Baleares_IBS+Spanish_Pais_Vasco_IBS+Ukraine_PL @ 3.860356
    20 Irish+Russian_Smolensk+sardinian+Scottish1 @ 3.862904
    668645108 iterations.
    nMonte (full spreadsheet):

    Code:
    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
         French_East French_Northwest   French_central English_Kent_GBR      French_West              CEU         Orcadian          english 
            1.864703         2.340491         3.286751         7.372860         7.723571         8.824223        10.309653        10.333128 
    
    [1] "distance%=1.0838 / distance=0.010838"
            
    Russian_Smolensk       21.10
    english                21.00
    Italian_South          17.35
    Spanish_Pais_Vasco_IBS 16.80
    Scottish2               7.55
    sardinian               6.15
    Scottish1               5.70
    Sweden                  4.35
    nMonte (paper ancestry plus out groups only in spreadsheet):

    Code:
    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
                 French_East         English_Kent_GBR                      CEU                    Irish Scottish_Argyll_Bute_GBR                  Austria 
                    1.864703                 7.372860                 8.824223                10.582749                10.878415                11.494643 
                   Scottish1                   German 
                   12.305789                14.313876 
    
    
    [1] "distance%=1.1194 / distance=0.011194"
    
    French_East      81.25
    English_Kent_GBR  9.70
    Scottish1         5.45
    AshkenaziJew      2.35
    Nganasan          1.25

  9. The Following 3 Users Say Thank You to randwulf For This Useful Post:

     jortita (11-24-2017),  khanabadoshi (11-24-2017),  SSlava (11-25-2017)

  10. #27
    Gold Member Class
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    1,898
    Sex
    Location
    Pennsylvania
    Ethnicity
    West European
    Nationality
    USA
    Y-DNA
    R1b-U152-Z36+FGC6511
    mtDNA
    H11a2a

    United States of America Germany England France Scotland Ireland
    Dad:

    0.02% West-African
    1.12% Siberian
    0.00% South-Indian
    0.00% Ne-Asian
    5.40% Kalash
    0.65% Papuan
    1.12% Paleo-African
    2.79% Samoyedic
    42.03% NE-Euro
    0.00% SE-Asian
    0.00% Tibeto-Burmese
    34.50% SW-Euro
    9.97% Caucasian
    0.64% Amerindian
    1.75% Red-Sea

    Oracles:

    Code:
    Least-squares method.
    
    Using 1 population approximation:
    1 French_East @ 3.786029
    2 French_Northwest @ 3.964347
    3 French_central @ 4.929556
    4 English_Kent_GBR @ 8.708651
    5 French_West @ 9.39731
    6 CEU @ 9.54966
    7 Serbian_Serbia @ 9.902745
    8 Montenegro @ 10.221877
    9 Serbian_B-H @ 10.917631
    10 Austria @ 11.146408
    424 iterations.
    
    Using 2 populations approximation:
    1 Spanish_Baleares_IBS+Volga-German @ 2.354087
    2 Italian_North+Sweden @ 2.569323
    3 German+Spanish_Baleares_IBS @ 2.703659
    4 Bulgarian+english @ 2.707474
    5 Bulgaria+english @ 2.743578
    6 English_Cornwall_GBR+Italian_North @ 2.779959
    7 Czech+Spanish_Baleares_IBS @ 2.977776
    8 english+Macedonian @ 3.120236
    9 Spanish+Volga-German @ 3.292914
    10 english+Montenegro @ 3.449516
    90100 iterations.
    
    Using 3 populations approximation:
    1 50% French_central +25% English_Cornwall_GBR +25% Kosovo @ 1.955739
    2 50% English_Cornwall_GBR +25% Basque +25% Greek @ 2.000764
    3 50% Spanish_Baleares_IBS +25% English_Kent_GBR +25% Russians @ 2.07036
    4 50% Spanish_Baleares_IBS +25% French_West +25% Russians @ 2.079046
    5 50% English_Cornwall_GBR +25% Greek +25% SouthFrench @ 2.100368
    6 50% French_central +25% Bulgarian +25% Icelandic @ 2.180371
    7 50% Italian_North +25% english +25% Ingrian @ 2.203348
    8 50% French_central +25% Bulgaria +25% Icelandic @ 2.229814
    9 50% Spanish_Baleares_IBS +25% English_Kent_GBR +25% Russia_Kostroma @ 2.238434
    10 50% French_central +25% Kosovo +25% Sweden @ 2.239002
    12479728 iterations.
    
    Using 4 populations approximation:
    1 Basque+Greek+Orcadian+Russia_Kostroma @ 1.602514
    2 French_West+Greek+Ingrian+SouthFrench @ 1.63292
    3 Basque+Greek+Irish+Russia_Kostroma @ 1.63983
    4 Basque+English_Kent_GBR+Greek+Ingrian @ 1.640343
    5 Basque+Greek+Russia_Kostroma+Scottish_Argyll_Bute_GBR @ 1.640617
    6 Basque+Greek+Irish+Russian_Kargopol @ 1.652055
    7 Basque+CEU+Greek+Ingrian @ 1.658221
    8 Basque+French_West+Greek+Ingrian @ 1.688354
    9 english+Greek+Ingrian+SouthFrench @ 1.695465
    10 english+Greek+Russia_Kostroma+SouthFrench @ 1.709372
    11 Basque+Greek+Ingrian+Orcadian @ 1.738674
    12 Basque+English_Kent_GBR+Greek+Russian_Kargopol @ 1.765374
    13 Basque+French_West+Greek+Russian_Kargopol @ 1.766793
    14 Basque+Greek+Orcadian+Russian_Kargopol @ 1.769709
    15 Greek+Russia_Kostroma+Scottish1+SouthFrench @ 1.770942
    16 Greek+Russia_Kostroma+Scottish2+SouthFrench @ 1.770942
    17 Basque+English_Kent_GBR+GreeceCentral+Russia_Kostroma @ 1.773706
    18 Basque+French_West+GreeceCentral+Russia_Kostroma @ 1.786458
    19 Basque+GreeceCentral+Irish+Russia_Kostroma @ 1.787279
    20 English_Kent_GBR+Greek+Ingrian+SouthFrench @ 1.796444
    45228100 iterations.
    
    
    Gaussian method.
    Noise dispersion set to 0.33296
    
    Using 1 population approximation:
    1 French_central @ 4.100807
    2 French_East @ 4.47727
    3 English_Kent_GBR @ 4.784391
    4 German @ 5.070365
    5 CEU @ 5.345002
    6 Orcadian @ 5.391916
    7 French_Northwest @ 5.466823
    8 Hungarian @ 5.573669
    9 Volga-German @ 5.653856
    10 Austria @ 5.810227
    424 iterations.
    
    Using 2 populations approximation:
    1 Bulgarian+Scottish1 @ 3.731745
    2 Bulgarian+Scottish2 @ 3.731745
    3 Bulgarian+english @ 3.739655
    4 Bulgarian+Irish @ 3.746771
    5 Irish+Kosovo @ 3.820127
    6 Bulgarian+English_Kent_GBR @ 3.855802
    7 Bulgaria+Scottish1 @ 3.866276
    8 Bulgaria+Scottish2 @ 3.866276
    9 Bulgaria+english @ 3.879633
    10 English_Kent_GBR+Serbian_Serbia @ 3.880967
    90100 iterations.
    
    Using 3 populations approximation:
    1 50% English_Kent_GBR +25% Russian_Ryazan +25% sardinian @ 3.460328
    2 50% English_Kent_GBR +25% Irish +25% Kosovo @ 3.471008
    3 50% English_Kent_GBR +25% English_Kent_GBR +25% Kosovo @ 3.480897
    4 50% English_Kent_GBR +25% Bulgarian +25% English_Kent_GBR @ 3.488483
    5 50% English_Kent_GBR +25% Greek +25% Irish @ 3.492577
    6 50% Irish +25% English_Kent_GBR +25% Greek @ 3.498813
    7 50% Irish +25% English_Kent_GBR +25% ItalyAbruzzo @ 3.501092
    8 50% Irish +25% English_Kent_GBR +25% Kosovo @ 3.506573
    9 50% Irish +25% Irish +25% ItalyAbruzzo @ 3.513432
    10 50% English_Kent_GBR +25% Irish +25% ItalyAbruzzo @ 3.521727
    29683931 iterations.
    
    Using 4 populations approximation:
    1 English_Kent_GBR+English_Kent_GBR+Russian_Ryazan+sardinian @ 3.460328
    2 Basque+English_Kent_GBR+Kosovo+Russian_Ryazan @ 3.469864
    3 English_Kent_GBR+English_Kent_GBR+Irish+Kosovo @ 3.471008
    4 Basque+Kosovo+Russian_Ryazan+Scottish1 @ 3.480594
    5 Basque+Kosovo+Russian_Ryazan+Scottish2 @ 3.480594
    6 English_Kent_GBR+English_Kent_GBR+English_Kent_GBR+Kosovo @ 3.480897
    7 Bulgarian+English_Kent_GBR+English_Kent_GBR+English_Kent_GBR @ 3.488483
    8 Basque+Irish+Kosovo+Russian_Ryazan @ 3.490433
    9 English_Kent_GBR+English_Kent_GBR+Greek+Irish @ 3.492577
    10 English_Kent_GBR+Greek+Irish+Irish @ 3.498813
    11 English_Kent_GBR+Irish+Irish+ItalyAbruzzo @ 3.501092
    12 English_Kent_GBR+Irish+Irish+Kosovo @ 3.506573
    13 Irish+Irish+Irish+ItalyAbruzzo @ 3.513432
    14 English_Kent_GBR+English_Kent_GBR+Irish+ItalyAbruzzo @ 3.521727
    15 English_Kent_GBR+English_Kent_GBR+English_Kent_GBR+Greek @ 3.522052
    16 Basque+english+Kosovo+Russian_Ryazan @ 3.522566
    17 English_Kent_GBR+Orcadian+Russian_Ryazan+sardinian @ 3.523305
    18 Bulgarian+English_Kent_GBR+English_Kent_GBR+Irish @ 3.523376
    19 English_Kent_GBR+Irish+Russian_Ryazan+sardinian @ 3.523987
    20 Greek+Irish+Irish+Irish @ 3.548747
    666821095 iterations.
    nMonte (full spreadsheet):

    Code:
    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
         French_East French_Northwest   French_central English_Kent_GBR      French_West              CEU   Serbian_Serbia       Montenegro 
            3.787949         3.965233         4.930975         8.714147         9.402474         9.553245         9.898606        10.217792 
    
    [1] "distance%=1.1267 / distance=0.011267"
        
    Spanish_Pais_Vasco_IBS 28.75
    Russian_Ryazan         19.40
    Basque                 15.55
    Bulgaria                9.70
    Irish                   7.95
    Ingrian                 6.80
    Georgia                 6.50
    German                  2.25
    Selkup                  1.70
    Georgian_Imereti        1.00
    sardinian               0.40
    nMonte (paper ancestry plus out groups):

    Code:
    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
                 French_East         English_Kent_GBR                      CEU                  Austria                    Irish Scottish_Argyll_Bute_GBR 
                    3.787949                 8.714147                 9.553245                11.150746                11.856558                12.086413 
                      German                Scottish1 
                   13.679883                14.586305 
    
    [1] "distance%=2.2288 / distance=0.022288"
    
    French_East  72.70
    German       18.75
    AshkenaziJew  6.55
    Ket           2.00

  11. The Following 2 Users Say Thank You to randwulf For This Useful Post:

     jortita (11-24-2017),  khanabadoshi (11-24-2017)

  12. #28
    Gold Member Class
    Posts
    1,898
    Sex
    Location
    Pennsylvania
    Ethnicity
    West European
    Nationality
    USA
    Y-DNA
    R1b-U152-Z36+FGC6511
    mtDNA
    H11a2a

    United States of America Germany England France Scotland Ireland
    Mom:

    0.02% West-African
    0.00% Siberian
    1.70% South-Indian
    0.04% Ne-Asian
    8.43% Kalash
    0.00% Papuan
    0.21% Paleo-African
    1.68% Samoyedic
    44.44% NE-Euro
    0.00% SE-Asian
    0.00% Tibeto-Burmese
    33.79% SW-Euro
    7.65% Caucasian
    0.28% Amerindian
    1.76% Red-Sea

    Oracles:

    Code:
    Least-squares method.
    
    Using 1 population approximation:
    1 French_Northwest @ 3.625058
    2 French_East @ 4.384849
    3 English_Kent_GBR @ 4.461336
    4 French_West @ 5.0115
    5 CEU @ 5.588539
    6 French_central @ 6.336867
    7 Orcadian @ 7.001432
    8 Irish @ 7.566312
    9 Scottish_Argyll_Bute_GBR @ 7.71505
    10 Austria @ 8.277144
    424 iterations.
    
    Using 2 populations approximation:
    1 English_Kent_GBR+French_Northwest @ 2.019151
    2 CEU+French_Northwest @ 2.123988
    3 CEU+French_East @ 2.263117
    4 French_central+Orcadian @ 2.276527
    5 English_Kent_GBR+French_East @ 2.278603
    6 CEU+French_central @ 2.291876
    7 French_Northwest+French_West @ 2.300202
    8 French_Northwest+Orcadian @ 2.395556
    9 French_East+Orcadian @ 2.422582
    10 French_East+French_West @ 2.49293
    90100 iterations.
    
    Using 3 populations approximation:
    1 50% English_Kent_GBR +25% english +25% Romanian @ 1.304914
    2 50% English_Kent_GBR +25% Bulgarian +25% Scottish1 @ 1.420708
    3 50% English_Kent_GBR +25% Bulgarian +25% Scottish2 @ 1.420708
    4 50% English_Kent_GBR +25% Bulgaria +25% Scottish1 @ 1.460707
    5 50% English_Kent_GBR +25% Bulgaria +25% Scottish2 @ 1.460707
    6 50% French_West +25% english +25% Macedonian @ 1.493917
    7 50% English_Kent_GBR +25% Bulgarian +25% english @ 1.508203
    8 50% English_Kent_GBR +25% Macedonian +25% Scottish1 @ 1.516582
    9 50% English_Kent_GBR +25% Macedonian +25% Scottish2 @ 1.516582
    10 50% Icelandic +25% English_Kent_GBR +25% Italian_North @ 1.522178
    10029775 iterations.
    
    Using 4 populations approximation:
    1 english+English_Kent_GBR+English_Kent_GBR+Romanian @ 1.304914
    2 French_Northwest+French_West+Scottish1+Serbian_Serbia @ 1.325915
    3 French_Northwest+French_West+Scottish2+Serbian_Serbia @ 1.325915
    4 English_Kent_GBR+French_Northwest+Scottish1+Serbian_Serbia @ 1.327446
    5 English_Kent_GBR+French_Northwest+Scottish2+Serbian_Serbia @ 1.327446
    6 english+English_Kent_GBR+French_West+Romanian @ 1.374821
    7 English_Kent_GBR+French_Northwest+Montenegro+Scottish1 @ 1.385749
    8 English_Kent_GBR+French_Northwest+Montenegro+Scottish2 @ 1.385749
    9 French_Northwest+French_West+Montenegro+Scottish1 @ 1.418469
    10 French_Northwest+French_West+Montenegro+Scottish2 @ 1.418469
    11 Bulgarian+English_Kent_GBR+English_Kent_GBR+Scottish1 @ 1.420708
    12 Bulgarian+English_Kent_GBR+English_Kent_GBR+Scottish2 @ 1.420708
    13 Austria+Icelandic+Italian_North+Scottish1 @ 1.436119
    14 Austria+Icelandic+Italian_North+Scottish2 @ 1.436119
    15 english+French_Northwest+French_West+Serbian_Serbia @ 1.448415
    16 Bulgaria+English_Kent_GBR+English_Kent_GBR+Scottish1 @ 1.460707
    17 Bulgaria+English_Kent_GBR+English_Kent_GBR+Scottish2 @ 1.460707
    18 Austria+French_West+Italian_North+Norwegian2 @ 1.461129
    19 English_Kent_GBR+French_central+Scottish1+Serbian_Serbia @ 1.464287
    20 English_Kent_GBR+French_central+Scottish2+Serbian_Serbia @ 1.464287
    32643527 iterations.
    
    
    Gaussian method.
    Noise dispersion set to 0.33296
    
    Using 1 population approximation:
    1 English_Kent_GBR @ 3.562916
    2 Austria @ 4.075047
    3 Orcadian @ 4.334666
    4 French_Northwest @ 4.415899
    5 French_West @ 4.499446
    6 CEU @ 4.564632
    7 French_central @ 4.624206
    8 French_East @ 4.671666
    9 Irish @ 4.82601
    10 German @ 4.860807
    424 iterations.
    
    Using 2 populations approximation:
    1 English_Kent_GBR+English_Kent_GBR @ 3.562916
    2 Austria+English_Kent_GBR @ 3.683932
    3 Scottish1+Serbia_Serbia @ 3.767213
    4 Scottish2+Serbia_Serbia @ 3.767213
    5 Austria+French_West @ 3.853914
    6 English_Kent_GBR+French_Northwest @ 3.919422
    7 English_Kent_GBR+Orcadian @ 3.927708
    8 English_Kent_GBR+French_West @ 3.933974
    9 Austria+Irish @ 3.945218
    10 Austria+Orcadian @ 3.954237
    90100 iterations.
    
    Using 3 populations approximation:
    1 50% English_Kent_GBR +25% Scottish1 +25% Serbia_Serbia @ 3.522325
    2 50% English_Kent_GBR +25% Scottish2 +25% Serbia_Serbia @ 3.522325
    3 50% English_Kent_GBR +25% English_Kent_GBR +25% Serbia_Serbia @ 3.576586
    4 50% English_Kent_GBR +25% Austria +25% English_Kent_GBR @ 3.586277
    5 50% English_Kent_GBR +25% Irish +25% Serbia_Serbia @ 3.599632
    6 50% Scottish1 +25% English_Kent_GBR +25% Serbia_Serbia @ 3.60758
    7 50% Scottish2 +25% English_Kent_GBR +25% Serbia_Serbia @ 3.60758
    8 50% English_Kent_GBR +25% French_West +25% Serbia_Serbia @ 3.62111
    9 50% Irish +25% English_Kent_GBR +25% Serbia_Serbia @ 3.622133
    10 50% French_West +25% Scottish1 +25% Serbia_Serbia @ 3.622941
    26059683 iterations.
    
    Using 4 populations approximation:
    1 English_Kent_GBR+English_Kent_GBR+Scottish1+Serbia_Serbia @ 3.522325
    2 English_Kent_GBR+English_Kent_GBR+Scottish2+Serbia_Serbia @ 3.522325
    3 English_Kent_GBR+English_Kent_GBR+English_Kent_GBR+English_Kent_GBR @ 3.562916
    4 English_Kent_GBR+English_Kent_GBR+English_Kent_GBR+Serbia_Serbia @ 3.576586
    5 English_Kent_GBR+French_West+Scottish1+Serbia_Serbia @ 3.57816
    6 English_Kent_GBR+French_West+Scottish2+Serbia_Serbia @ 3.57816
    7 English_Kent_GBR+Irish+Scottish1+Serbia_Serbia @ 3.582563
    8 English_Kent_GBR+Irish+Scottish2+Serbia_Serbia @ 3.582563
    9 Austria+English_Kent_GBR+English_Kent_GBR+English_Kent_GBR @ 3.586277
    10 English_Kent_GBR+English_Kent_GBR+Irish+Serbia_Serbia @ 3.599632
    11 English_Kent_GBR+Scottish1+Scottish1+Serbia_Serbia @ 3.60758
    12 English_Kent_GBR+Scottish1+Scottish2+Serbia_Serbia @ 3.60758
    13 English_Kent_GBR+Scottish2+Scottish2+Serbia_Serbia @ 3.60758
    14 English_Kent_GBR+English_Kent_GBR+French_West+Serbia_Serbia @ 3.62111
    15 English_Kent_GBR+Irish+Irish+Serbia_Serbia @ 3.622133
    16 French_West+French_West+Scottish1+Serbia_Serbia @ 3.622941
    17 French_West+French_West+Scottish2+Serbia_Serbia @ 3.622941
    18 French_West+Irish+Scottish1+Serbia_Serbia @ 3.629351
    19 French_West+Irish+Scottish2+Serbia_Serbia @ 3.629351
    20 english+English_Kent_GBR+English_Kent_GBR+Serbia_Serbia @ 3.635695
    452827485 iterations.
    nMonte (full spreadsheet):

    Code:
    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
    French_Northwest      French_East English_Kent_GBR      French_West              CEU   French_central         Orcadian            Irish 
            3.507807         4.291949         4.570295         5.096979         5.652399         6.278883         7.054872         7.655644 
    
    [1] "distance%=1.0926 / distance=0.010926"
                          
    French_West       40.0
    Cossack_Zaporozhe 18.2
    Scottish1         12.2
    Scottish2         11.8
    Kosovo            11.3
    sardinian          6.3
    Serbia_Serbia      0.2
    nMonte (paper ancestry plus out groups):

    Code:
    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
                 French_East         English_Kent_GBR                      CEU                    Irish Scottish_Argyll_Bute_GBR                  Austria 
                    4.291949                 4.570295                 5.652399                 7.655644                 7.758068                 8.359778 
                   Scottish1                   German 
                   10.310197                11.301315 
    
    [1] "distance%=1.306 / distance=0.01306"
    
    French_East              52.40
    English_Kent_GBR         20.60
    Austria                  12.45
    Scottish_Argyll_Bute_GBR  8.70
    Scottish1                 3.40
    Uzbek                     1.30
    Pulliyar                  1.15

  13. The Following 2 Users Say Thank You to randwulf For This Useful Post:

     jortita (11-24-2017),  khanabadoshi (11-24-2017)

  14. #29
    Gold Member Class
    Posts
    1,898
    Sex
    Location
    Pennsylvania
    Ethnicity
    West European
    Nationality
    USA
    Y-DNA
    R1b-U152-Z36+FGC6511
    mtDNA
    H11a2a

    United States of America Germany England France Scotland Ireland
    Wife:

    0.12% West-African
    0.00% Siberian
    0.03% South-Indian
    0.05% Ne-Asian
    5.43% Kalash
    0.32% Papuan
    0.06% Paleo-African
    2.45% Samoyedic
    45.87% NE-Euro
    0.03% SE-Asian
    0.02% Tibeto-Burmese
    32.49% SW-Euro
    9.50% Caucasian
    0.18% Amerindian
    3.46% Red-Sea

    Oracles:

    Code:
    Least-squares method.
    
    Using 1 population approximation:
    1 French_Northwest @ 5.924796
    2 French_East @ 6.055083
    3 CEU @ 6.799211
    4 English_Kent_GBR @ 6.97907
    5 Austria @ 7.043427
    6 Hungarian @ 7.782524
    7 French_West @ 8.182422
    8 French_central @ 8.343208
    9 Croat @ 8.373371
    10 Serbian_B-H @ 8.595749
    424 iterations.
    
    Using 2 populations approximation:
    1 French_central+Hungarian @ 2.270335
    2 French_East+Hungarian @ 2.42024
    3 French_central+Slovenian @ 2.432643
    4 Spanish+Ukraine_PL @ 2.434964
    5 Spanish_Cataluna_IBS+Ukraine_PL @ 2.479949
    6 Spanish_Valencia_IBS+Ukraine_PL @ 2.578894
    7 Irish+Serbian_Serbia @ 2.617893
    8 Irish+Montenegro @ 2.713346
    9 French_Northwest+Hungarian @ 2.738388
    10 French_East+Slovenian @ 2.789716
    90100 iterations.
    
    Using 3 populations approximation:
    1 50% Sweden +25% Macedonian +25% Spanish @ 1.893912
    2 50% Croat +25% Spanish_Castilla_la_Mancha_IBS +25% Sweden @ 1.903944
    3 50% Sweden +25% Montenegro +25% Spanish_Baleares_IBS @ 1.917009
    4 50% German +25% Serbian_B-H +25% Spanish_Castilla_la_Mancha_IBS @ 1.936896
    5 50% Sweden +25% Macedonian +25% Spanish_Extremadura_IBS @ 1.971026
    6 50% German +25% Bosnian +25% Spanish_Castilla_la_Mancha_IBS @ 1.976443
    7 50% German +25% Serbian_B-H +25% Spanish_Aragon_IBS @ 1.985129
    8 50% Sweden +25% Bulgaria +25% Spanish @ 1.987422
    9 50% German +25% Serbian_B-H +25% Spanish_Valencia_IBS @ 1.991534
    10 50% French_central +25% Serbia_Serbia +25% Sweden @ 1.995978
    12405464 iterations.
    
    Using 4 populations approximation:
    1 Montenegro+Slovakian+Spanish_Castilla_la_Mancha_IBS+Sweden @ 1.81849
    2 Cossacks_Kuban+French_central+Irish+Italian_North @ 1.819864
    3 English_Kent_GBR+Kosovo+Latvian+Spanish_Castilla_la_Mancha_IBS @ 1.82876
    4 Kosovo+Spanish_Castilla_la_Mancha_IBS+Sweden+Ukraine_North @ 1.84132
    5 Irish+Serbian_Serbia+Spanish_Aragon_IBS+Ukraine_PL @ 1.861959
    6 Basque+Estonian+GreeceCentral+Sweden @ 1.862436
    7 Icelandic+Montenegro+Spanish_Aragon_IBS+Ukraine_PL @ 1.86678
    8 Basque+Gagauz+Sweden+Ukraine_PL @ 1.879428
    9 Irish+Kosovo+Lithuania+Spanish_Castilla_la_Mancha_IBS @ 1.88125
    10 Irish+Kosovo+Lithuania+Spanish_Valencia_IBS @ 1.886838
    11 English_Kent_GBR+Kosovo+Lithuania+Spanish_Castilla_la_Mancha_IBS @ 1.888468
    12 Estonian+Irish+Kosovo+Spanish @ 1.889141
    13 French_West+Kosovo+Latvian+Spanish_Castilla_la_Mancha_IBS @ 1.890896
    14 Kosovo+Lithuania+Orcadian+Spanish_Aragon_IBS @ 1.893032
    15 Macedonian+Spanish+Sweden+Sweden @ 1.893912
    16 Kosovo+Spanish_Aragon_IBS+Sweden+Ukraine_North @ 1.896078
    17 Cossacks_Kuban+French_East+Irish+Italian_North @ 1.896986
    18 Irish+Kosovo+Lithuania+Spanish_Aragon_IBS @ 1.897941
    19 Kosovo+Lithuania+Orcadian+Spanish_Castilla_la_Mancha_IBS @ 1.898508
    20 English_Kent_GBR+Montenegro+Polish2+Spanish_Castilla_la_Mancha_IBS @ 1.898586
    53407475 iterations.
    
    
    Gaussian method.
    Noise dispersion set to 0.33296
    
    Using 1 population approximation:
    1 French_East @ 4.69899
    2 German @ 4.713903
    3 Austria @ 4.74008
    4 French_central @ 4.836022
    5 French_Northwest @ 4.959115
    6 English_Kent_GBR @ 5.011964
    7 Czech @ 5.136687
    8 Hungarian @ 5.163643
    9 Volga-German @ 5.353455
    10 CEU @ 5.356771
    424 iterations.
    
    Using 2 populations approximation:
    1 Irish+Serbia_Serbia @ 4.06137
    2 Scottish1+Serbia_Serbia @ 4.123444
    3 Scottish2+Serbia_Serbia @ 4.123444
    4 English_Kent_GBR+Serbia_Serbia @ 4.149809
    5 english+Serbia_Serbia @ 4.214014
    6 Orcadian+Serbia_Serbia @ 4.220833
    7 Irish+Montenegro @ 4.238287
    8 Montenegro+Scottish1 @ 4.266459
    9 Montenegro+Scottish2 @ 4.266459
    10 Croat+English_Kent_GBR @ 4.294045
    90100 iterations.
    
    Using 3 populations approximation:
    1 50% English_Kent_GBR +25% English_Kent_GBR +25% Serbia_Serbia @ 4.018459
    2 50% Irish +25% Serbia_Serbia +25% Serbia_Serbia @ 4.06137
    3 50% English_Kent_GBR +25% Irish +25% Serbia_Serbia @ 4.075722
    4 50% Serbia_Serbia +25% Irish +25% Scottish1 @ 4.076164
    5 50% Serbia_Serbia +25% Irish +25% Scottish2 @ 4.076164
    6 50% English_Kent_GBR +25% Orcadian +25% Serbia_Serbia @ 4.088465
    7 50% Irish +25% Kosovo +25% Serbia_Serbia @ 4.099265
    8 50% Irish +25% Italian_North +25% Ukraine_PL @ 4.103745
    9 50% Irish +25% Kosovo +25% Ukraine_PL @ 4.105814
    10 50% Serbia_Serbia +25% English_Kent_GBR +25% Scottish1 @ 4.106019
    30297375 iterations.
    
    Using 4 populations approximation:
    1 English_Kent_GBR+English_Kent_GBR+English_Kent_GBR+Serbia_Serbia @ 4.018459
    2 Irish+Irish+Serbia_Serbia+Serbia_Serbia @ 4.06137
    3 English_Kent_GBR+English_Kent_GBR+Irish+Serbia_Serbia @ 4.075722
    4 Irish+Scottish1+Serbia_Serbia+Serbia_Serbia @ 4.076164
    5 Irish+Scottish2+Serbia_Serbia+Serbia_Serbia @ 4.076164
    6 English_Kent_GBR+English_Kent_GBR+Orcadian+Serbia_Serbia @ 4.088465
    7 English_Kent_GBR+Kosovo+Scottish1+Ukraine_PL @ 4.098915
    8 English_Kent_GBR+Kosovo+Scottish2+Ukraine_PL @ 4.098915
    9 Irish+Irish+Kosovo+Serbia_Serbia @ 4.099265
    10 Irish+Irish+Italian_North+Ukraine_PL @ 4.103745
    11 Irish+Irish+Kosovo+Ukraine_PL @ 4.105814
    12 English_Kent_GBR+Scottish1+Serbia_Serbia+Serbia_Serbia @ 4.106019
    13 English_Kent_GBR+Scottish2+Serbia_Serbia+Serbia_Serbia @ 4.106019
    14 English_Kent_GBR+English_Kent_GBR+Italian_North+Ukraine_PL @ 4.109924
    15 Irish+Kosovo+Scottish1+Ukraine_PL @ 4.109982
    16 Irish+Kosovo+Scottish2+Ukraine_PL @ 4.109982
    17 English_Kent_GBR+Irish+Serbia_Serbia+Serbia_Serbia @ 4.111725
    18 English_Kent_GBR+English_Kent_GBR+English_Kent_GBR+Kosovo @ 4.113804
    19 English_Kent_GBR+English_Kent_GBR+Kosovo+Ukraine_PL @ 4.114018
    20 English_Kent_GBR+Irish+Italian_North+Ukraine_PL @ 4.114021
    712767639 iterations.
    nMonte (full spreadsheet):

    Code:
    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
    French_Northwest      French_East              CEU English_Kent_GBR          Austria        Hungarian      French_West   French_central 
            5.774235         5.909198         6.836950         7.038263         7.135636         7.718196         8.229636         8.234957 
    
    [1] "distance%=1.0872 / distance=0.010872"
                                        
    German                         42.00
    Kosovo                         15.35
    Spanish_Castilla_la_Mancha_IBS 14.90
    Ukraine_PL                      8.05
    Irish                           6.85
    Lithuania                       6.65
    sardinian                       5.10
    Selkup                          1.10
    nMonte (paper ancestry plus out groups):

    Code:
    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
                 French_East                      CEU         English_Kent_GBR                  Austria                   German                    Irish 
                    5.909198                 6.836950                 7.038263                 7.135636                 9.470269                 9.593033 
    Scottish_Argyll_Bute_GBR                Scottish1 
                    9.904372                13.738145 
    
    [1] "distance%=1.7812 / distance=0.017812"
                      
    French_East  46.85
    German       46.30
    AshkenaziJew  5.50
    Ket           0.85
    BedouinB      0.50

  15. The Following 2 Users Say Thank You to randwulf For This Useful Post:

     jortita (11-24-2017),  khanabadoshi (11-24-2017)

  16. #30
    Gold Member Class
    Posts
    1,898
    Sex
    Location
    Pennsylvania
    Ethnicity
    West European
    Nationality
    USA
    Y-DNA
    R1b-U152-Z36+FGC6511
    mtDNA
    H11a2a

    United States of America Germany England France Scotland Ireland
    Father in law:

    0.95% West-African
    0.01% Siberian
    0.01% South-Indian
    0.59% Ne-Asian
    6.59% Kalash
    0.00% Papuan
    0.00% Paleo-African
    2.65% Samoyedic
    46.57% NE-Euro
    0.22% SE-Asian
    0.02% Tibeto-Burmese
    31.15% SW-Euro
    7.78% Caucasian
    0.00% Amerindian
    3.46% Red-Sea

    Oracles:

    Code:
    Least-squares method.
    
    Using 1 population approximation:
    1 CEU @ 5.020138
    2 English_Kent_GBR @ 5.794243
    3 Austria @ 5.81616
    4 French_Northwest @ 6.819871
    5 Orcadian @ 6.846122
    6 French_West @ 7.013588
    7 French_East @ 7.143522
    8 Hungarian @ 7.614386
    9 Irish @ 7.816349
    10 Scottish_Argyll_Bute_GBR @ 7.878235
    424 iterations.
    
    Using 2 populations approximation:
    1 english+Serbia_Serbia @ 2.478251
    2 French_central+Volga-German @ 2.521769
    3 French_East+German @ 2.552478
    4 english+Serbian_B-H @ 2.567866
    5 Russians+Spanish_Castilla_la_Mancha_IBS @ 2.575406
    6 Croat+english @ 2.577509
    7 Bosnian+english @ 2.705782
    8 Czech+French_central @ 2.74442
    9 French_Northwest+German @ 2.775142
    10 French_central+German @ 2.794095
    90100 iterations.
    
    Using 3 populations approximation:
    1 50% english +25% Cossacks_Kuban +25% GreeceThessaly @ 1.783138
    2 50% english +25% Albanian +25% Cossacks_Kuban @ 1.810203
    3 50% Volga-German +25% Orcadian +25% Spanish_Extremadura_IBS @ 1.89727
    4 50% English_Cornwall_GBR +25% Montenegro +25% Spanish_Castilla_la_Mancha_IBS @ 1.917705
    5 50% english +25% Cossacks_Kuban +25% Kosovo @ 1.918979
    6 50% CEU +25% Spanish_Baleares_IBS +25% Ukraine_PL @ 1.926501
    7 50% Icelandic +25% Cossack_Zaporozhe +25% Spanish_Andalucia_IBS @ 1.93242
    8 50% Volga-German +25% Scottish_Argyll_Bute_GBR +25% Spanish_Extremadura_IBS @ 1.937929
    9 50% Sweden +25% Serbian_Serbia +25% Spanish_Extremadura_IBS @ 1.950785
    10 50% CEU +25% Spanish_Extremadura_IBS +25% Ukraine_PL @ 1.963675
    10944765 iterations.
    
    Using 4 populations approximation:
    1 Ingrian+Montenegro+Scottish1+Spanish @ 1.551232
    2 Ingrian+Montenegro+Scottish2+Spanish @ 1.551232
    3 Ingrian+Montenegro+Scottish_Argyll_Bute_GBR+Spanish_Castilla_la_Mancha_IBS @ 1.570931
    4 Ingrian+Montenegro+Scottish1+Spanish_Cataluna_IBS @ 1.618351
    5 Ingrian+Montenegro+Scottish2+Spanish_Cataluna_IBS @ 1.618351
    6 Ingrian+Montenegro+Scottish1+Spanish_Extremadura_IBS @ 1.624448
    7 Ingrian+Montenegro+Scottish2+Spanish_Extremadura_IBS @ 1.624448
    8 Ingrian+Montenegro+Orcadian+Spanish_Castilla_la_Mancha_IBS @ 1.633653
    9 english+Ingrian+Montenegro+Spanish_Cataluna_IBS @ 1.635024
    10 Ingrian+Montenegro+Scottish1+Spanish_Galicia_IBS @ 1.639992
    11 Ingrian+Montenegro+Scottish2+Spanish_Galicia_IBS @ 1.639992
    12 Cossack_Zaporozhe+english+Slovakian+Spanish_Castilla_la_Mancha_IBS @ 1.647284
    13 english+Ingrian+Serbian_Serbia+Spanish @ 1.64968
    14 english+Ingrian+Montenegro+Spanish @ 1.654348
    15 Ingrian+Scottish1+Serbian_Serbia+Spanish @ 1.657243
    16 Ingrian+Scottish2+Serbian_Serbia+Spanish @ 1.657243
    17 CEU+Cossacks_Kuban+english+Italian_North @ 1.661503
    18 Cossack_Zaporozhe+German+Orcadian+Spanish_Castilla_la_Mancha_IBS @ 1.671038
    19 Cossack_Zaporozhe+German+Scottish_Argyll_Bute_GBR+Spanish_Castilla_la_Mancha_IBS @ 1.68201
    20 Finnish+Macedonian+Scottish1+Spanish @ 1.686856
    39491157 iterations.
    
    
    Gaussian method.
    Noise dispersion set to 0.33296
    
    Using 1 population approximation:
    1 German @ 4.397558
    2 Austria @ 4.531313
    3 French_East @ 4.579349
    4 French_central @ 4.799453
    5 English_Kent_GBR @ 4.852071
    6 French_Northwest @ 4.875861
    7 CEU @ 4.908596
    8 Czech @ 5.193275
    9 Orcadian @ 5.370833
    10 Hungarian @ 5.387067
    424 iterations.
    
    Using 2 populations approximation:
    1 Spanish_Castilla_la_Mancha_IBS+Ukraine_PL @ 4.012957
    2 Spanish_Castilla_la_Mancha_IBS+Ukraine_North @ 4.077447
    3 Croat+english @ 4.141638
    4 Spanish_Valencia_IBS+Ukraine_PL @ 4.144083
    5 Cossack_Zaporozhe+english @ 4.155054
    6 French_East+German @ 4.15526
    7 Spanish_Valencia_IBS+Ukraine_North @ 4.162288
    8 english+Ukraine_PL @ 4.181755
    9 English_Kent_GBR+French_East @ 4.19046
    10 French_East+Orcadian @ 4.208498
    90100 iterations.
    
    Using 3 populations approximation:
    1 50% Ukraine_PL +25% Scottish1 +25% Spanish_Castilla_la_Mancha_IBS @ 3.790296
    2 50% Ukraine_PL +25% Scottish2 +25% Spanish_Castilla_la_Mancha_IBS @ 3.790296
    3 50% Ukraine_PL +25% Scottish1 +25% Spanish_Valencia_IBS @ 3.790525
    4 50% Ukraine_PL +25% Scottish2 +25% Spanish_Valencia_IBS @ 3.790525
    5 50% Icelandic +25% Cossack_Zaporozhe +25% Spanish_Castilla_la_Mancha_IBS @ 3.801548
    6 50% English_Kent_GBR +25% Spanish_Valencia_IBS +25% Ukraine_PL @ 3.804592
    7 50% Icelandic +25% Spanish_Castilla_la_Mancha_IBS +25% Ukraine_PL @ 3.816001
    8 50% English_Kent_GBR +25% Cossack_Zaporozhe +25% Spanish_Castilla_la_Mancha_IBS @ 3.818169
    9 50% English_Kent_GBR +25% Spanish_Castilla_la_Mancha_IBS +25% Ukraine_PL @ 3.828564
    10 50% Scottish1 +25% Italian_North +25% Ukraine_PL @ 3.829863
    29874178 iterations.
    
    Using 4 populations approximation:
    1 Icelandic+Italian_North+Scottish1+Ukraine_PL @ 3.782522
    2 Icelandic+Italian_North+Scottish2+Ukraine_PL @ 3.782522
    3 Scottish1+Spanish_Castilla_la_Mancha_IBS+Ukraine_PL+Ukraine_PL @ 3.790296
    4 Scottish2+Spanish_Castilla_la_Mancha_IBS+Ukraine_PL+Ukraine_PL @ 3.790296
    5 Scottish1+Spanish_Valencia_IBS+Ukraine_PL+Ukraine_PL @ 3.790525
    6 Scottish2+Spanish_Valencia_IBS+Ukraine_PL+Ukraine_PL @ 3.790525
    7 Cossack_Zaporozhe+English_Kent_GBR+Icelandic+Spanish_Castilla_la_Mancha_IBS @ 3.796442
    8 Cossack_Zaporozhe+Icelandic+Icelandic+Spanish_Castilla_la_Mancha_IBS @ 3.801548
    9 English_Kent_GBR+Icelandic+Spanish_Castilla_la_Mancha_IBS+Ukraine_PL @ 3.803912
    10 English_Kent_GBR+English_Kent_GBR+Spanish_Valencia_IBS+Ukraine_PL @ 3.804592
    11 English_Kent_GBR+Icelandic+Spanish_Valencia_IBS+Ukraine_PL @ 3.808994
    12 Cossack_Zaporozhe+Icelandic+Orcadian+Spanish_Castilla_la_Mancha_IBS @ 3.813998
    13 Icelandic+Icelandic+Spanish_Castilla_la_Mancha_IBS+Ukraine_PL @ 3.816001
    14 Cossack_Zaporozhe+English_Kent_GBR+English_Kent_GBR+Spanish_Castilla_la_Mancha_IBS @ 3.818169
    15 english+Icelandic+Italian_North+Ukraine_PL @ 3.819865
    16 Icelandic+Orcadian+Spanish_Castilla_la_Mancha_IBS+Ukraine_PL @ 3.821888
    17 German+Icelandic+Spanish_Castilla_la_Mancha_IBS+Ukraine_PL @ 3.82564
    18 English_Kent_GBR+German+Spanish_Castilla_la_Mancha_IBS+Ukraine_PL @ 3.825956
    19 German+Scottish1+Spanish_Valencia_IBS+Ukraine_PL @ 3.82814
    20 German+Scottish2+Spanish_Valencia_IBS+Ukraine_PL @ 3.82814
    648441926 iterations.
    nMonte (full spreadsheet):

    Code:
    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
                 CEU English_Kent_GBR          Austria French_Northwest         Orcadian      French_West      French_East        Hungarian 
            5.067117         5.844785         5.876009         6.775525         6.885536         7.050564         7.115851         7.600933 
    
    [1] "distance%=0.9935 / distance=0.009935"
                                       
    Sweden                         28.5
    Spanish_Castilla_la_Mancha_IBS 20.5
    Ukraine_North                  15.1
    IT_South                       12.2
    German                         10.5
    Icelandic                       3.6
    Scottish1                       2.9
    Scottish2                       2.6
    Lithuania                       1.9
    Selkup                          1.4
    Italian_North                   0.9
    Oracles (paper ancestry plus out groups):

    Code:
    [1] "1. CLOSEST SINGLE ITEM DISTANCES"
                         CEU         English_Kent_GBR                  Austria              French_East                    Irish Scottish_Argyll_Bute_GBR 
                    5.067117                 5.844785                 5.876009                 7.115851                 7.873701                 7.905588 
                      German                Scottish1 
                    8.098667                12.119180 
    
    [1] "distance%=1.2374 / distance=0.012374"
                                  
    German                   39.20
    French_East              37.55
    English_Kent_GBR         17.50
    BedouinB                  2.30
    Finnish                   1.85
    Ket                       1.25
    Yoruba                    0.35

  17. The Following 2 Users Say Thank You to randwulf For This Useful Post:

     jortita (11-24-2017),  khanabadoshi (11-24-2017)

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