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Thread: De Nederlandse Praatbank

  1. #301
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    Quote Originally Posted by Ajeje Brazorf View Post
    delete

    After correction:

    Code:
    BelgianA:5434289058_R02C02,0.129758,0.141159,0.057322,0.030685,0.035391,0.008367,-0.00282,-0.000462,0.004704,0.002369,0.002111,0.007793,-0.015758,0.001514,0.013436,-0.013259,-0.026729,0.004181,0.00352,-0.004627,0.000998,-0.001978,-0.003821,0.004699,0.003592
    BelgianA,0.1297584,0.140617133,0.054506467,0.031374067,0.0383046,0.0141306,0.003666,0.005553733,0.006803867,0.006852133,-0.004990667,0.0051554,-0.011337933,-0.005697667,0.014793533,-0.000671933,-0.0108306,0.001300667,0.002497267,-0.000216867,0.003552,0.002522533,0.000591533,0.0080732,0.000582733
    Last edited by ph2ter; 01-28-2022 at 11:51 AM.
     
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  3. #302
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    A looks the most northern and C the most southern.
     
    Some simple calculations, maps and plots I make for free, but for more complicated maps, plots and calculations I ask for a donation of $2 or Ç1.7 per map/plot via Hidden Content PayPalHidden Content account.
    Every fourth map is free. Admix decomposition is $7 or Ç6.

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  5. #303
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    Quote Originally Posted by xerxez View Post
    Your position among several modern NW European populations. You're close to some the most "northwestern" Icelandics and Danish
    I'm not sure I was understood correctly. If you take any row from the original ("unscaled") G25 sheet, the corresponding row from the "scaled" sheet, and quotient the values, the results are constants, independent of the chosen row (these are in fact the roots of the eigenvalues). I'm driving home the point: it's been that way since the beginning, and it will be that way for centuries to come, and for everyone. Take a Mbuti, an Eskimo, a Neanderthal, or whatever individual from G25, do this quotient, you MUST obtain the same values (with rounding ). Look at the first three lines of the reference sheet, and compare with @Waldpykjong.

    Capture.JPG

    You can see that it doesn't work. These values (Wald's ones) are FALSE, for one reason or another. Now you can continue indefinitely, if you like, to discuss the positions of points that do not correspond to anything real. After all, everyone spends their time as they please.
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  7. #304
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    Quote Originally Posted by xerxez View Post
    Your position among several modern NW European populations. You're close to some the most "northwestern" Icelandics and Danish
    they are Waldpyks one, I myself tend to plot near the Dutch average, but I'm difficult to use because of mixture.

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  9. #305
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    Quote Originally Posted by anglesqueville View Post
    I'm not sure I was understood correctly. If you take any row from the original ("unscaled") G25 sheet, the corresponding row from the "scaled" sheet, and quotient the values, the results are constants, independent of the chosen row (these are in fact the roots of the eigenvalues).
    Very true. I recommend having David look at it, he makes thousands of these without any problem, so it is very strange.

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  11. #306
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    Quote Originally Posted by anglesqueville View Post
    I'm not sure I was understood correctly. If you take any row from the original ("unscaled") G25 sheet, the corresponding row from the "scaled" sheet, and quotient the values, the results are constants, independent of the chosen row (these are in fact the roots of the eigenvalues). I'm driving home the point: it's been that way since the beginning, and it will be that way for centuries to come, and for everyone. Take a Mbuti, an Eskimo, a Neanderthal, or whatever individual from G25, do this quotient, you MUST obtain the same values (with rounding ). Look at the first three lines of the reference sheet, and compare with @Waldpykjong.

    Capture.JPG

    You can see that it doesn't work. These values (Wald's ones) are FALSE, for one reason or another. Now you can continue indefinitely, if you like, to discuss the positions of points that do not correspond to anything real. After all, everyone spends their time as they please.
    OK thanks for these precisions, I thought that Waldpykjong had obtained the right results finally but it is not the case
    Last edited by xerxez; 01-28-2022 at 01:27 PM.

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  13. #307
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    Last edited by xerxez; 01-28-2022 at 03:08 PM.

  14. #308
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    Quote Originally Posted by Creatag View Post
    Kan niet aans as de-j uut et Hogelaand weg komt, duch mie
    Nee d˛cht ik nait, ik waark der wel mor kom van 't Oldambt (grubbe Veenkolonies). Mien grootvoar hed mie t Grunnegs biebr˛cht. Hou d˛chten ie dat te waiten?

  15. #309
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    Quote Originally Posted by xerxez View Post
    Could someone share a recap of the Dutch amateur G25 coordinates (Finn, Elske, Kellebel, ...) with the region of origin?
    Finn Groningen (mom Drenthe)
    Elske Friesland
    Kellebel Limburg (?)
    Radboud Noord-Holland (?)
    CGPF Noord Brabant? (mom Zuid-Holland)

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  17. #310
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    Quote Originally Posted by Finn View Post
    @Waldpykje, kiek mien jong hier hest nije PCA veur NW Europe. D' Hollanders binnen aalpmoal op t Engels overgoan. Din toal ik die mor even in t Grunnegs aan. Kist wel lezen dˇcht ik nait veur n Vraiz nait zo stoer (google translate kin der weschienlek niks mit).

    Doe kroepst stoefbie Elkse mor heb nog kopschuddens of boudel wel in order is....liekt hoast op d'ploatse van Aak t Wesfrais jonkje van d'ierzertied. Mor dij hed ook gain G25 kregen....te minne "sample".

     
    Looks good. Maybe try adding these German samples and see where they plot?

    Code:
    German_Erlangen:GSM1658598,0.129758,0.133034,0.062979,0.049096,0.038776,0.015897,0.00799,0.006231,0.011453,-0.00492,-0.00406,0.001948,-0.001189,0.007707,0.00285,-0.005701,-0.0103,0.004434,0.001634,0.007379,-0.003119,0.001607,0.001356,0.00976,-0.000958
    German_Erlangen:GSM1658599,0.135449,0.150298,0.051288,0.033269,0.045547,0.00753,0.00141,-0.001846,0.007976,0.003098,-0.00682,0.005845,-0.000297,-0.005505,0.007193,0.003182,-0.000391,0.000887,0.005782,-0.000125,-0.004118,0.002597,-0.002588,0.008796,0.000718
    German_Erlangen:GSM1658600,0.134311,0.133034,0.056945,0.044251,0.048317,0.013387,0.008695,0.010615,0.002454,-0.006743,-0.008282,-0.005245,-0.006095,0.000826,0.007872,0.007823,0.004303,-0.003674,0.004777,0.002501,0.003619,0.002473,0.002342,0.007832,0.002754
    German_Erlangen:GSM1658601,0.126344,0.13405,0.059962,0.038114,0.032006,0.015339,0.00705,0.006923,0.005727,-0.012392,-0.00341,-0.004496,-0.001338,0.002615,-0.001357,0.012861,0.020079,0.00114,0.002514,0.005628,-0.003494,-0.007666,-0.003944,0.00494,0.000359
    German_Erlangen:GSM1658602,0.127482,0.137096,0.055437,0.025194,0.038161,0.014502,0.008225,0.003923,0.005113,0.002369,0.003735,0.007194,-0.003122,-0.007156,0.005157,0.012861,-0.00339,-0.000633,0.00176,0.000625,0.002246,0.006554,0.006286,-0.000843,0.002275
    German_Erlangen:GSM1658603,0.134311,0.140143,0.052797,0.034884,0.035391,0.010319,0.00188,-0.000692,0.004295,0.008201,-0.005359,0.014237,-0.007879,-0.001239,0.011265,-0.004641,-0.006519,-0.003294,0.004399,-0.007629,-0.004243,0.003957,-0.008011,0.006025,-0.004311
    German_Erlangen:GSM1658604,0.130897,0.136081,0.058454,0.036176,0.036314,0.009761,0.00282,0.006,-0.001636,0.000911,-0.005034,-0.003147,-0.001189,0.00055,-0.003393,-0.003713,-0.012517,-0.003801,0.005279,0.006128,-0.000499,-0.006183,0.003821,0,0.003832
    German_Erlangen:GSM1658605,0.129758,0.137096,0.049403,0.031008,0.043085,0.015618,0.002115,0.005307,0.004704,0.006014,0.001461,0.004946,-0.003568,-0.005643,0.006379,0.001591,-0.000652,0.002787,0.004399,0.005378,0.003868,0.008779,-0.003697,0.006989,-0.003712
    German_Erlangen:GSM1658606,0.134311,0.136081,0.053551,0.035853,0.040623,0.009203,0.00141,0.00923,0.011044,0.006925,0.00065,0.001349,-0.001338,0.005643,-0.000136,-0.009414,-0.014342,0.005321,-0.001006,-0.003627,-0.008984,-0.003957,0.00493,0.007471,-0.002515
    German_Erlangen:GSM1658607,0.124067,0.136081,0.056945,0.041667,0.029852,0.014223,0.012926,0.003231,0.00225,0.002551,-0.000325,0.004646,-0.005203,-0.005505,0.019001,0.000928,-0.011865,0.005321,-0.001131,-0.007504,0.002745,0.001113,-0.002095,0.009278,-0.007065
    German_Erlangen:GSM1658609,0.121791,0.13405,0.055437,0.034884,0.0397,0.022032,0.008225,0.008538,0.001841,-0.011663,-0.005521,0.005395,-0.000446,0.01445,0.004072,-0.005569,-0.00691,-0.000253,-0.000251,-0.007629,-0.00287,0.004822,0.009613,0.00482,0.007544
    German_Erlangen:GSM1658610,0.12862,0.136081,0.063733,0.055233,0.044316,0.019243,0.00094,0.000923,0.006545,-0.003098,-0.006171,-0.004946,-0.002081,0.00234,0.000543,0.001989,0.005476,0.007981,0.005531,0.01038,0.004492,0.002968,-0.000123,0.006748,-0.007784
    German_Erlangen:GSM1658611,0.124067,0.142174,0.052797,0.034561,0.035083,0.004741,0.002585,0.002077,0.008795,0.000729,0.00065,0.011989,-0.009514,-0.001789,0.006379,0.003182,-0.004824,0.004561,0.005908,0.003126,0.005366,0.000371,-0.00419,0.012291,0.001796
    German_Erlangen:GSM1658612,0.135449,0.132019,0.057699,0.0323,0.044008,0.018128,0.00141,0.004384,0.000818,-0.00492,-0.00682,0.008093,-0.007582,-0.002477,0.002714,0.004243,0.002999,-0.002027,0.009427,0.001,-0.006364,0.000371,0.000123,0.011809,0.00491
    German_Erlangen:GSM1658613,0.12862,0.14319,0.05242,0.031008,0.035083,-0.001116,0.000705,0.001846,0.005522,0.006378,-0.003248,0.00015,-0.006838,0.006881,0.001221,0.005171,-0.004955,0.001267,0.008799,0.00963,-0.002995,-0.009769,0.002465,0.008796,-0.001557
    German_Erlangen:GSM1658614,0.126344,0.137096,0.054305,0.03553,0.032621,0.013945,0.00846,0.002769,0.002454,-0.001093,-0.007632,-0.001049,-0.006987,0.00234,0.010043,0.001591,0.009388,-0.00228,0.000377,-0.001626,-0.003993,0.00643,0.002465,0.011447,0.001437
    German_Erlangen:GSM1658615,0.12862,0.132019,0.061094,0.042313,0.0397,0.016455,0.003525,0.006231,0.009613,-0.007836,-0.001786,-0.002698,0.002379,0.015138,-0.0019,-0.006099,-0.012778,0.004941,0.001006,-0.003001,-0.00287,-0.002473,0.006902,0.001807,0.003952
    German_Erlangen:GSM1658616,0.130897,0.140143,0.050911,0.041667,0.030467,0.022032,0.00564,0.011076,0.001432,-0.00328,0.001949,0.002997,-0.00773,-0.00055,0.004072,0.005569,-0.002477,0.000253,-0.00352,-0.002251,-0.00025,0.006677,0.002711,0.002048,-0.001557
    German_Erlangen:GSM1658617,0.121791,0.144205,0.049403,0.030039,0.044931,0.01004,0.00094,0.005077,0.011658,0.015126,-0.006333,0.005245,-0.00446,-0.003165,0.009772,0.017237,0.011995,0.002787,0.004148,0.004377,-0.000873,0.004822,-0.000986,0.008555,-0.001557
    German_Erlangen:GSM1658618,0.124067,0.131003,0.063733,0.040375,0.0437,0.021196,0.010105,0.005769,0.000614,-0.004191,-0.00065,0.007943,-0.003568,-0.002752,0.005836,0.001724,-0.000652,0.006081,0.01081,-0.001501,0.000499,0.000618,-0.00037,0.008194,-0.005389
    German_Erlangen:GSM1658620,0.127482,0.138112,0.062602,0.035207,0.041854,0.012829,-0.000705,0.006923,0.010431,-0.002734,-0.007307,-0.001199,0.000297,0.001927,0.001629,-0.001989,-0.009648,0.004434,-0.00088,0.007253,-0.000749,0.005688,0.001356,0.014339,0.002634
    German_Erlangen:GSM1658621,0.121791,0.128972,0.058831,0.045866,0.043393,0.025379,0.00752,-0.001154,0.010431,-0.009476,-0.004547,-0.007044,-0.004311,0.004817,-0.00475,0.011535,-0.002868,-0.000633,0.004651,0.000125,0.002496,0.008656,0.00949,0.005543,-0.002155
    German_Erlangen:GSM1658622,0.137726,0.14319,0.059585,0.042959,0.0397,0.019243,0.005405,0.011999,0.008385,-0.000364,-0.008444,0.001199,0.001933,0.007019,0.000271,0.007292,0.002477,0.003801,-0.003142,-0.009505,-0.004742,0.001978,0.000493,0.000602,0.008502
    German_Erlangen:GSM1658623,0.126344,0.141159,0.063733,0.043928,0.042777,0.009761,0.00329,0.003461,0.003477,-0.002005,0.000162,-0.003447,0.005054,0.006193,0.00095,-0.007823,-0.003129,-0.0019,0.004525,0.000125,-0.002121,-0.000247,0.010599,-0.001446,0.00012
    German_Erlangen:GSM1658625,0.124067,0.128972,0.051666,0.031008,0.034776,0.011713,-0.00094,-0.000462,-0.002863,-0.005103,-0.008282,0.003897,-0.006095,-0.015001,0.011265,0.01432,0.024903,0.00266,-0.001006,0.003377,0.009109,0.004204,0.009367,0.013134,-0.001557
    German_Erlangen:GSM1658626,0.127482,0.142174,0.054305,0.034561,0.039392,0.005299,0.00282,0.005077,0.007772,0.006014,-0.000325,0.006894,-0.006244,-0.001101,-0.001764,0.001061,-0.001173,-0.000253,0.005279,-0.002751,-0.003743,0.001113,0.001232,0.009399,-0.005029
    German_Erlangen:GSM1658627,0.130897,0.137096,0.059208,0.032946,0.041854,0.009482,-0.001175,0.009,0.000409,0.002551,-0.00341,0.003897,-0.003717,0.003991,-0.000271,-0.013392,-0.01695,0.006081,0.007793,-0.008254,-0.002371,-0.001484,0.000246,0.005904,0
    German_Erlangen:GSM1658628,0.126344,0.13405,0.043746,0.02907,0.037545,0.01506,0.003525,0.008307,-0.002863,0.002916,-0.002598,-0.000749,-0.007879,-0.002202,0.011943,0.002387,0.004172,-0.000507,0.000251,-0.001876,0.00287,0.003339,0.006286,0.011327,0.001557
    German_Erlangen:GSM1658631,0.126344,0.140143,0.04714,0.029393,0.036622,0.015618,-0.003995,0.003231,-0.005931,0.001093,-0.00682,0.001349,-0.005203,0.004542,-0.001221,0.003978,-0.011995,0.008868,0.006536,-0.008004,0.003868,-0.005812,-0.000863,0.000241,-0.000239
    German_Erlangen:GSM1658632,0.12862,0.128972,0.058454,0.048127,0.035699,0.020638,0.008695,0.006461,0.004909,-0.005285,0.002923,-0.003897,0.000149,0.005643,0.005429,-0.010077,-0.008996,0.004181,0.006536,-0.008254,-0.005989,0.002226,0.008874,0.004458,0.005987
    German_Erlangen:GSM1658633,0.133173,0.139128,0.054305,0.037791,0.030467,0.017012,0.000235,0.006692,0.005727,0.000547,-0.000974,-0.002548,-0.001041,0.00289,0.008007,-0.006497,-0.018906,0.006714,0.002891,-0.003877,0.001497,0.003833,-0.003944,0.011809,-0.00012
    German_Erlangen:GSM1658634,0.130897,0.13405,0.057699,0.042959,0.033545,0.021753,-0.004465,0.002538,0.001841,-0.006196,0.003573,-0.001649,0.001933,0.009083,-0.0057,0.001856,0.008345,-0.003801,0.003771,0.003752,0.002121,-0.005317,-0.006162,-0.006868,-0.000479
    German_Erlangen:GSM1658635,0.120652,0.137096,0.047894,0.033592,0.037545,0.009203,0.003055,0.005538,0.014726,0.006743,-0.009256,0.005095,-0.005352,-0.007019,0.006107,0.017369,0.006389,0.00076,0.001131,0.003126,0.001747,-0.004946,0.000493,0.01458,0.001557
    German_Erlangen:GSM1658636,0.120652,0.133034,0.053928,0.035207,0.035699,0.01255,0.003995,0.004154,0.001023,-0.001458,-0.000812,0.004646,-0.006987,0.010046,0.013572,0.003315,-0.000782,0.004307,0.003394,0.006503,-0.000125,-0.002844,0.0053,0.009158,-0.003952
    German_Erlangen:GSM1658637,0.125205,0.139128,0.058077,0.031977,0.054779,0.011435,0.004465,-0.002769,0.007772,0.015308,-0.011854,0.007943,-0.016947,-0.002615,0.011265,-0.005436,-0.022165,-0.00114,-0.005028,0.002376,0.007612,0.003833,0.004437,-0.000602,0
    German_Erlangen:GSM1658638,0.130897,0.141159,0.053174,0.034238,0.043393,0.012829,0.004935,0.003923,-0.002863,0.006196,0,-0.001349,-0.006541,-0.00234,-0.004072,0.019358,0.020731,0.00038,0.004651,0.003252,0,0.007666,0.00037,0.010724,-0.001557
    German_Erlangen:GSM1658639,0.129758,0.135065,0.065242,0.041667,0.040931,0.022032,0.011045,0.005769,0.010022,-0.002734,-0.002598,0.007343,-0.013231,-0.004266,0.007872,0.006497,-0.001043,-0.00228,0.000126,0.002751,0.010482,0.000742,-0.00037,0.014098,0.000359
    German_Erlangen:GSM1658640,0.130897,0.138112,0.056191,0.040375,0.032006,0.02008,0.00376,0.003,0.001227,-0.002551,-0.00406,0.004196,-0.006392,0.010046,0.008007,-0.013524,-0.018254,-0.003041,-0.00264,-0.001501,-0.000873,0.001855,-0.000123,0.013375,-0.006706
    German_Erlangen:GSM1658641,0.133173,0.141159,0.057699,0.033915,0.045547,0.015897,0.00564,0.001385,0.00409,0.005285,-0.008444,0.002098,-0.012487,-0.003165,0.008007,0.005171,0.016168,0.004181,0.00264,0.013256,0.002745,-0.000989,-0.002342,0.007109,-0.002515
    German_Erlangen:GSM1658642,0.135449,0.131003,0.060716,0.044897,0.042777,0.014781,0.00094,0.010153,0.00859,-0.000729,-0.001624,0.006145,0.001784,-0.008945,0.008415,0.01843,0.01017,0.004434,0.004777,0.001626,0.004367,-0.003586,0.001356,0.007953,0.005508
    German_Erlangen:GSM1658643,0.132035,0.129988,0.063733,0.040698,0.032929,0.017012,-0.00188,0.000462,0.010431,-0.005467,0.000162,0.002248,0.001784,-0.003991,0.012351,0.007558,0.009518,-0.002027,0.003771,0.001876,0.003868,-0.005935,-0.00912,0.009519,-0.002275
    German_Erlangen:GSM1658644,0.129758,0.138112,0.049026,0.02907,0.034776,0.018965,0.006345,0.012923,0.011453,0.008018,-0.001949,0.002098,-0.013825,0.00055,0.019001,-0.002784,-0.028945,0.013809,0.00993,-0.005253,-0.001248,0.003339,-0.002342,0.008435,-0.000599
    German_Erlangen:GSM1658645,0.125205,0.148267,0.063733,0.036176,0.038469,0.013108,0.00705,0.003461,0.007158,0.008747,0.001461,-0.007793,-0.004311,0.012661,0.000543,0.000663,0.003781,0.003801,0.008673,0.002251,-0.003119,-0.006677,-0.001356,-0.003012,0.001317
    German_Erlangen:GSM1658646,0.133173,0.140143,0.052797,0.045543,0.038776,0.011713,0.003995,0.006923,0.003477,-0.002005,-0.00406,0.001649,-0.001933,0.001927,-0.00095,0.003447,-0.00339,-0.006588,-0.006285,-0.001126,0.005989,-0.001484,0.006779,0.01446,0.004071
    German_Erlangen:GSM1658647,0.124067,0.135065,0.054305,0.026486,0.033237,0.014781,0.00235,-0.002769,-0.0045,-0.00328,0.000974,0.004496,0.000149,0.007844,0.007193,-0.012729,-0.014212,0.0019,-0.001257,-0.002126,-0.000624,0.005935,0.00037,0.013375,-0.003712
    German_Erlangen:GSM1658648,0.12862,0.138112,0.061471,0.042313,0.044624,0.018128,0.0047,0.010153,0.004704,0.001093,-0.006496,0.004346,-0.004311,0.006468,0.010722,-0.001061,0.005737,0.002407,0.006536,0.010005,-0.003993,-0.002226,0.007765,0.009881,0.001197
    German_Erlangen:GSM1658649,0.119514,0.136081,0.058831,0.030039,0.037545,0.013945,0.003995,0.004384,0.003681,0.006743,0.001461,0.004796,-0.003271,0.000826,0.013301,-0.002652,-0.018254,0.005068,-0.000503,0.008754,0.007986,0.000371,0.000616,0.014339,0.002155
    German_Erlangen:GSM1658650,0.129758,0.139128,0.05242,0.032623,0.032929,0.010877,0.00705,0.009461,-0.001841,-0.002734,-0.002923,0.004046,-0.005946,0.003028,0.0019,0.012861,0.018123,-0.002787,0.003897,0.002251,-0.004492,-0.003586,0.005916,0.016749,-0.00012
    German_Erlangen:GSM1658651,0.135449,0.139128,0.056945,0.032623,0.033852,0.021475,0.00235,-0.001385,0.001432,0.005285,0.001786,-0.001349,-0.006392,-0.003578,0.014794,-0.005171,-0.00678,0,-0.004148,0.004627,-0.004866,0.000742,-0.000863,0.00241,-0.004191
    German_Erlangen:GSM1658652,0.129758,0.142174,0.057699,0.036176,0.044008,0.015618,0.002115,0.006231,0.007158,-0.000364,-0.002273,0.005695,-0.00446,-0.012111,-0.004614,0.014187,0.018775,0.002407,-0.001131,-0.002626,0.006613,0.011129,-0.002958,0.00253,-0.003832
    German_Erlangen:GSM1658653,0.121791,0.139128,0.047517,0.034238,0.040007,0.012271,-0.001645,0.000692,-0.000818,-0.002551,-0.004547,-0.002548,-0.004014,0.006055,0.003122,-0.015911,-0.017211,-0.000633,0.007165,-0.006003,-0.004866,0.006059,0.001232,0.010845,0.001317
    German_Erlangen:GSM1658654,0.125205,0.139128,0.053928,0.042959,0.043393,0.017012,0.009635,0.006692,0.006749,-0.000547,-0.001786,-0.006894,0.001635,0.010597,0.001221,0.000928,-0.009779,-0.002154,0.005531,0.002251,-0.000624,-0.001484,0.011832,0.009519,-0.002155
    German_Erlangen:GSM1658655,0.132035,0.139128,0.060339,0.049096,0.046162,0.019522,0.003055,0.006231,0.005931,-0.003827,-0.005521,-0.002698,0.000892,-0.003028,-0.001764,0.0118,0.005085,-0.007475,0.002388,-0.002001,0.000374,-0.003091,-0.000493,0.008676,-0.001078
    German_Erlangen:GSM1658656,0.127482,0.137096,0.051666,0.031977,0.038469,0.011713,0.00658,0.012461,0.009204,0.008565,-0.00406,0.004196,-0.010109,-0.003165,0.011672,-0.00053,-0.002217,0.008868,0.005782,-0.003877,-0.001622,0.012984,0.001232,0.007109,0.000359
    German_Erlangen:GSM1658657,0.130897,0.138112,0.050911,0.046189,0.039084,0.019522,0.00047,0.006231,0.007976,-0.005832,-0.003085,0.004346,-0.004162,0.008808,0.007329,-0.008088,-0.013299,0.000507,0.001383,-0.004252,-0.009733,-0.001978,0.003821,0.003012,0.000718
    German_Erlangen:GSM1658658,0.135449,0.138112,0.058077,0.031331,0.039392,0.016733,0.00611,0.011538,0.001636,0.000911,-0.000325,-0.002248,-0.009514,0.00867,0.0095,0.004906,-0.00013,0.004181,0.005154,0.005378,-0.00262,0.005812,0.005423,-0.001687,0.000838
    German_Erlangen:GSM1658659,0.121791,0.137096,0.060339,0.044251,0.033237,0.015618,0.00376,0.010153,0.000818,-0.003098,-0.00682,0.001349,-0.001933,0.015964,-0.000814,-0.010209,-0.016037,0.00038,0.008045,0.001251,-0.008485,0.005193,0.007888,-0.004699,0.004431
    German_Erlangen:GSM1658660,0.126344,0.141159,0.064488,0.041667,0.034468,0.023148,-0.00094,0.008769,0.004704,-0.000911,-0.011692,-0.001199,0.005352,0.00523,0.00285,0.007823,-0.00352,0.001394,0.011439,0.002876,-0.001497,0.008161,0.001356,-0.002289,-0.000239
    German_Erlangen:GSM1658661,0.12862,0.135065,0.060339,0.053941,0.0437,0.026216,0.00094,0.003,-0.005931,-0.007654,-0.005846,0,0.001784,-0.001101,0.002172,0.014187,0.02021,0.003547,0.001508,0.006878,0.002371,0,0.004067,0.004217,-0.001078
    German_Erlangen:GSM1658662,0.126344,0.13405,0.049403,0.028424,0.045855,0.011713,0.008225,0.005538,-0.001023,0.008018,0.000162,0.001349,-0.008474,-0.009496,0.00285,-0.004508,-0.015646,-0.003041,0.003771,-0.01038,-0.00574,0.003833,0.004683,0.009519,-0.001676
    German_Erlangen:GSM1658663,0.12862,0.144205,0.043369,0.031977,0.028005,0.00502,0.00329,0.005769,0.00859,0.001458,-0.002761,-0.002548,-0.002825,0.000275,0.000136,-0.006762,-0.012647,0.008235,0.004148,-0.009505,0.001248,0.001484,-0.001602,0.005904,0.002395
    German_Erlangen:GSM1658665,0.132035,0.131003,0.057322,0.041667,0.037853,0.013666,0.012691,0.001385,0.002454,0.003098,-0.001461,-0.001649,-0.006838,-0.00523,0.006515,0.011403,0.011735,-0.00114,-0.005656,0.004377,0.011854,0.006925,-0.002095,0.011929,-0.002874
    German_Erlangen:GSM1658666,0.122929,0.142174,0.059208,0.024225,0.03416,0.005857,0.00658,0.005769,0.003272,0.009659,-0.007145,-0.001649,-0.012339,0.009358,0.007057,0.002254,-0.001304,0.011529,0.006159,-0.002751,0.00287,-0.003215,0.000246,0.005302,-0.000838
    German_Erlangen:GSM1658667,0.129758,0.137096,0.042238,0.033592,0.028928,0.024821,0.007285,0.013846,-0.004295,-0.000364,0,0.005395,-0.009812,-0.00523,0.003529,-0.011403,-0.025816,0.008235,0.003017,0.001126,0.000749,0.007419,-0.002711,0.011206,-0.001437
    German_Hamburg:GSM1031510,0.135449,0.141159,0.062602,0.051357,0.035391,0.025379,0.014571,0.008538,0.001227,-0.013668,-0.008607,0.002248,-0.007433,0.004954,0.016015,0.009812,-0.010691,-0.001014,-0.002514,-0.004502,0.004243,0.000495,0.003697,0.006627,-0.001796
    German_Hamburg:GSM1031511,0.130897,0.129988,0.055437,0.040698,0.032621,0.010598,0.000235,0.012461,0.00409,-0.002916,-0.000162,-0.000749,-0.005946,-0.009083,0.007329,0.011535,0.015907,0.004434,0.00729,0.016633,-0.004243,0.002597,0.002835,0.009399,-0.002155
    German_Hamburg:GSM1031512,0.118376,0.132019,0.056191,0.053295,0.045547,0.0251,0.007285,0.008077,0.000205,-0.000364,-0.001461,0.000599,-0.008771,-0.017203,0.025244,0.014717,0.006389,0.003421,0.006662,-0.002001,0.001248,0.007419,-0.0053,0.017352,-0.001916
    German_Hamburg:GSM1031513,0.129758,0.135065,0.055437,0.049419,0.041854,0.01757,-0.002585,0.007154,0.0045,0.001458,-0.003897,0.003597,-0.002379,-0.004266,0.018729,-0.004641,-0.017863,0.007981,0.004022,-0.001,0.001747,0.001607,0.002095,0.009158,0.002994
    German_Hamburg:GSM1031515,0.121791,0.140143,0.070144,0.044897,0.048009,0.013108,0.010105,0.014076,0.004295,0.002734,-0.011692,-0.004646,0,-0.012524,0.006107,0.006762,-0.001565,-0.000507,0.010182,0.003877,0.005116,0.009398,0.001725,-0.000843,0.000838
    German_Hamburg:GSM1031516,0.122929,0.127957,0.060716,0.057494,0.040315,0.014781,0.011281,0.007846,-0.004295,-0.010934,-0.00341,-0.003897,0.006987,-0.001101,0.003936,0.017104,0.0103,0.003041,0,0.011506,0.001996,0.003833,0.000739,-0.004579,0.007424
    German_Hamburg:GSM1031517,0.132035,0.135065,0.059208,0.041344,0.046162,0.016455,0.007755,0.002538,0.012067,-0.00656,-0.002111,0.004946,-0.001933,-0.002752,0.007193,0.023866,0.023469,0.004434,0.004022,-0.003252,-0.004991,0.005812,-0.000986,0.010965,-0.00479
    German_Hamburg:GSM1031521,0.134311,0.142174,0.058454,0.044251,0.041546,0.01757,0.0094,0.006,0,0.006196,-0.00341,-0.002847,-0.013082,-0.000688,0.005972,-0.00716,-0.021644,-0.00038,0.002011,-0.005002,0.002371,0.001237,0.001356,0.014701,0.010538
    German_Hamburg:GSM1031523,0.138864,0.136081,0.068636,0.04845,0.035699,0.022311,0.007755,0.008307,0.000614,-0.009112,-0.004384,0.002248,0.002825,0.016377,-0.000407,0.001061,0.001173,0.002914,0.003268,0.004877,0.004367,-0.001113,0.001725,0.00735,0.002036
    German_Hamburg:GSM1031524,0.121791,0.132019,0.064865,0.060724,0.044008,0.018128,0.015276,0.011769,-0.003886,-0.002916,-0.001949,0.003147,0.005649,0.007432,0.019001,0.001326,-0.010952,0.004054,0.009804,0.003627,0.006489,0.006801,0.010353,0.013857,-0.000239
    German_Hamburg:GSM1031525,0.121791,0.13405,0.065619,0.044897,0.0397,0.018407,0.015981,0.009,0.008795,0.001276,0.000974,-0.001948,-0.006987,-0.012248,0.011129,0.001326,0.000522,0.008488,0.008547,-0.003502,0.001622,-0.005564,0,0.005061,-0.011496
    German_Hamburg:GSM1031526,0.122929,0.138112,0.063356,0.040375,0.045547,0.020638,0.00188,0.011999,0.000614,0.000182,-0.008607,0.003897,-0.002527,0.001376,0.016558,-0.013126,-0.018775,0.003041,0.011564,-0.002751,0.00287,0.005935,0.006162,0.006627,-0.005868
    German_Hamburg:GSM1031527,0.12862,0.136081,0.077687,0.055233,0.040007,0.028168,0.011751,0.011769,0.00409,-0.005649,0.002598,-0.002098,0.004608,0.022295,0.0019,-0.007823,-0.018645,0.004181,-0.002765,-0.007754,0.002745,0.000989,0.01023,-0.000723,-0.012574
    German_Hamburg:GSM1031529,0.125205,0.128972,0.062602,0.042313,0.042162,0.026495,0.00141,0.008077,0.007772,-0.001458,-0.005196,0.00015,-0.001189,-0.000826,0.016015,0.000133,-0.029336,-0.002914,0.011061,-0.000875,0.005241,-0.000495,-0.001849,0.004458,0.001916
    German_Hamburg:GSM1031548,0.137726,0.131003,0.057322,0.046189,0.029544,0.025937,0.00846,0.006,0.008795,0.004009,-0.00682,-0.00045,-0.009068,-0.008395,0.014929,0.007558,-0.001304,0.002534,-0.004022,0.009129,0.009358,0.000495,0.00456,0.012773,0.001078

     



    We know where these Germans came from for a change, Hamburg, and Erlangen.

    https://www.ncbi.nlm.nih.gov/geo/que...i?acc=GSE42056

    https://www.ncbi.nlm.nih.gov/geo/que...i?acc=GSE67929

  18. The Following 11 Users Say Thank You to altvred For This Useful Post:

     Agamemnon (01-28-2022),  alexfritz (01-28-2022),  anglesqueville (01-28-2022),  Dewsloth (01-28-2022),  Hrafnab˙ (01-28-2022),  JMcB (01-28-2022),  Kellebel (01-28-2022),  Michalis Moriopoulos (01-28-2022),  ph2ter (01-28-2022),  Tomenable (01-28-2022),  xerxez (01-28-2022)

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