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Thread: PCA G25_scaled - Africans only (Users & Ancients/Modern Avgs)

  1. #581
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    I already had them in K13 estimates , its not very accurate but it exposes whether they had More west asian or Horn african ancestry.
    Model that exposes West asian ancestry


    Model that exposes Mota ancestry(Approximate)


    The Beniamer have some horn african ancestry+arab, other sudanese arabs look more arab+nilotic mix.
    Last edited by Ramses; 12-02-2020 at 03:47 PM.

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  3. #582
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    Mixed Zanzibar
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    ZanzibarSultanate United Kingdom British Indian Ocean Territory
    Angoliga do you reckon you can add me to the PCA now - using mixed mode oracles on my coordinates and the datasheets surprisingly got me results in keeping with where I'd plot on the PCA explaining why I plot ahead of Egyptians but not ahead of IBM+SSA harboring folks.

    Code:
    Oracle Calculator by www.dnagenics.com
    v1.9  04/09/2020
    
    Finished reading population data. 577 populations found.
    25 components mode.
    
    B distance calculation method.
    
    --------------------------------
    
    
    Mixed Mode:
    1 56.25% Brahmin_Uttar_Pradesh + 43.75% Kalash @ 0.779
    2 56.25% Dharkar + 43.75% Kalash @ 0.866
    3 81.25% Brahmin_Uttar_Pradesh + 18.75% Ndau @ 0.884
    4 56.25% Brahmin_Uttar_Pradesh + 43.75% Makrani @ 0.911
    5 56.25% Brahmin_Uttar_Pradesh + 43.75% Brahui @ 0.911
    6 68.75% Brahmin_Uttar_Pradesh + 31.25% Iraqi @ 0.916
    7 56.25% Balochi + 43.75% Uttar_Pradesh @ 0.927
    8 56.25% Makrani + 43.75% Uttar_Pradesh @ 0.936
    9 56.25% Brahui + 43.75% Uttar_Pradesh @ 0.936
    10 81.25% Brahmin_Uttar_Pradesh + 18.75% Luo @ 0.939
    
    i was actually hella surprised the algorithm was able to pick this up. bear in mind the figure ~18% is an exact match for my max AncestryDNA range and SAPDA results which i can attach later. this might be the most parsimonious use of the algorithm to explain my position on the intra-african pca. removing makrani, kalash and brahmin got me even closer (as im far closer to the kamboj group than to brahmins)

    Code:
    Oracle Calculator by www.dnagenics.com
    v1.9  04/09/2020
    
    Finished reading population data. 574 populations found.
    25 components mode.
    
    B distance calculation method.
    
    --------------------------------
    
    
    Mixed Mode:
    1 81.25% Kamboj + 18.75% Luo @ 1.154
    2 56.25% Tajik + 43.75% Uttar_Pradesh @ 1.155
    3 68.75% Dharkar + 31.25% Parsi_Pakistan @ 1.155
    4 68.75% Dharkar + 31.25% Tajik_Rushan @ 1.157
    5 68.75% Balochi + 31.25% Relli @ 1.164
    6 56.25% Ror + 43.75% Uttar_Pradesh @ 1.165
    7 68.75% Dharkar + 31.25% Iranian_Lor @ 1.168
    8 56.25% Pashtun + 43.75% Uttar_Pradesh @ 1.170
    9 56.25% Azeri + 43.75% Gupta @ 1.172
    10 81.25% Kamboj + 18.75% Ndau @ 1.173
    
    i was only able to achieve this via multiethnic nMonte and mixed mode oracles on the g25. was pleasantly surprised.
    Last edited by ThaYamamoto; 12-02-2020 at 05:20 PM.

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  5. #583
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    Okay, so I am looking at this really closely here. I think there isn't any Dinka or Mota ancestry in the Early Pastoralists. They are almost full Basal Eurasian, or North African, if you will. I really think that there is actual West African ancestry in the Iberomaurusians. They are much closer to Sub-Saharans than anyone else and this doesn't translate into Natufians. So, there obviously cant be any IBM>Natufian flow. It is in the other direction, with some West African and maybe Nilotic ancestry in Iberomaurusians.

    I have a graph here below, but I see something in it that I can use to create something much better.

    Pastoralist.png

    I think this may be more important than the stuff with South Asians and the Xiongnu. I am still going to complete both of those, as well as another I am doing on Indus Periphery ancestry being much more prevalent than what was thought. Mesopotamian ancestry as well, all over.

    I also have plenty of D-stats and some qpAdm to show what I am thinking here. Let's go ahead and open up a conversation here. Give me some feedback on something you want me to look at.
    Last edited by Chad Rohlfsen; 12-04-2020 at 03:42 AM.

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  7. #584
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    Quote Originally Posted by Chad Rohlfsen View Post
    Okay, so I am looking at this really closely here. I think there isn't any Dinka or Mota ancestry in the Early Pastoralists. They are almost full Basal Eurasian, or North African, if you will. I really think that there is actual West African ancestry in the Iberomaurusians. They are much closer to Sub-Saharans than anyone else and this doesn't translate into Natufians. So, there obviously cant be any IBM>Natufian flow. It is in the other direction, with some West African and maybe Nilotic ancestry in Iberomaurusians.

    I have a graph here below, but I see something in it that I can use to create something much better.

    Attachment 41552

    I think this may be more important than the stuff with South Asians and the Xiongnu. I am still going to complete both of those, as well as another I am doing on Indus Periphery ancestry being much more prevalent than what was thought. Mesopotamian ancestry as well, all over.

    I also have plenty of D-stats and some qpAdm to show what I am thinking here. Let's go ahead and open up a conversation here. Give me some feedback on something you want me to look at.
    Your attachment doesn't seem to be working, at least for me.

    I would need to double check the original paper but I'm pretty sure the early East African pastoralists also had some unquestionably SSA uniparentals (namely different varieties of L mtDNA) so they're unlikely to be purely BE or North African migrants.

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  9. #585
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    You can see below that there is nothing even closely resembling a feasible model from these populations. Even if one or more was not needed, there should still be a passing or near passing model somewhere in the output that tells you which populations are set to .000, or not needed in the model. That is one useful deal about qpAdm. So, there is obviously something amiss here. Not just here, but in the qpGraph and D-stats that suggests there isn't anything deeper in the two early pastoralists that can't just be modeled as Basal Eurasian. I think the Pastoralist individuals are the missing link to make a successful model. I'm going to be testing this out.

    left pops:
    Hadendowa
    Natufian
    Levant_N
    BedouinB
    Dinka
    Mota.SG

    right pops:
    Chimp
    South_Africa_2000BP.SG
    Shum_Laka.SG
    Mende
    Nuer
    Ust_Ishim
    Brazil_LapaDoSanto_9600BP
    Iron_Gates_HG
    Yana
    Tianyuan
    SunghirIV
    GoyetQ116-1
    EHG
    Taiwan_Hanben
    IBM
    Barcin_N
    CHG
    Ganj_Dareh_N
    Jomon
    Paleo_Aleut
    Boisman_MN
    Aeta
    Onge

    0 Hadendowa 14
    1 Natufian 6
    2 Levant_N 15
    3 BedouinB 2
    4 Dinka 2
    5 Mota.SG 1
    6 Chimp 1
    7 South_Africa_2000BP.SG 2
    8 Shum_Laka.SG 1
    9 Mende 2
    10 Nuer 16
    11 Ust_Ishim 1
    12 Brazil_LapaDoSanto_9600BP 6
    13 Iron_Gates_HG 40
    14 Yana 2
    15 Tianyuan 1
    16 SunghirIV 1
    17 GoyetQ116-1 1
    18 EHG 3
    19 Taiwan_Hanben 48
    20 IBM 4
    21 Barcin_N 25
    22 CHG 2
    23 Ganj_Dareh_N 8
    24 Jomon 6
    25 Paleo_Aleut 4
    26 Boisman_MN 12
    27 Aeta 3
    28 Onge 11
    jackknife block size: 0.050
    snps: 1150636 indivs: 240
    number of blocks for block jackknife: 713
    ## ncols: 1150636
    coverage: Hadendowa 565352
    coverage: Natufian 514148
    coverage: Levant_N 904850
    coverage: BedouinB 781454
    coverage: Dinka 781455
    coverage: Mota.SG 1149598
    coverage: Chimp 1102442
    coverage: South_Africa_2000BP.SG 1087703
    coverage: Shum_Laka.SG 1147190
    coverage: Mende 769394
    coverage: Nuer 565348
    coverage: Ust_Ishim 1147829
    coverage: Brazil_LapaDoSanto_9600BP 961887
    coverage: Iron_Gates_HG 1141414
    coverage: Yana 1149918
    coverage: Tianyuan 844120
    coverage: SunghirIV 1138519
    coverage: GoyetQ116-1 765579
    coverage: EHG 1027057
    coverage: Taiwan_Hanben 1138853
    coverage: IBM 1090734
    coverage: Barcin_N 1137966
    coverage: CHG 1149558
    coverage: Ganj_Dareh_N 1057358
    coverage: Jomon 935910
    coverage: Paleo_Aleut 960525
    coverage: Boisman_MN 1031750
    coverage: Aeta 1060714
    coverage: Onge 616424
    dof (jackknife): 601.806
    numsnps used: 44649
    codimension 1
    f4info:
    f4rank: 4 dof: 18 chisq: 88.596 tail: 2.57751226e-11 dofdiff: 20 chisqdiff: -88.596 taildiff: 1
    B:
    scale 1.000 1.000 1.000 1.000
    South_Africa_2000BP.SG -0.072 -0.528 -1.064 -1.544
    Shum_Laka.SG -0.021 -0.247 0.008 -0.602
    Mende -0.076 0.552 0.166 -0.183
    Nuer -0.159 3.394 3.444 2.354
    Ust_Ishim 0.962 -0.287 -1.669 0.381
    Brazil_LapaDoSanto_9600BP 1.095 -0.621 -0.245 -0.651
    Iron_Gates_HG 1.331 -1.083 0.019 0.179
    Yana 1.048 -0.115 0.146 0.335
    Tianyuan 0.978 0.038 0.171 0.109
    SunghirIV 1.125 0.227 -0.623 0.461
    GoyetQ116-1 1.169 -0.833 -0.177 0.274
    EHG 1.234 0.200 0.221 -0.428
    Taiwan_Hanben 1.001 -0.189 -0.700 -0.148
    IBM 0.882 -0.258 -1.172 2.846
    Barcin_N 1.500 -2.058 1.864 0.924
    CHG 1.227 0.770 -0.182 -0.566
    Ganj_Dareh_N 1.189 0.801 0.146 -0.514
    Jomon 1.036 0.546 0.260 -0.098
    Paleo_Aleut 1.044 0.755 0.059 -0.468
    Boisman_MN 0.994 -0.753 -0.162 0.218
    Aeta 0.931 0.562 0.307 -1.540
    Onge 0.942 0.262 -0.166 -0.520
    A:
    scale 74.109 1530.519 3509.329 1830.186
    Natufian 0.884 -1.272 -1.890 1.235
    Levant_N 1.018 -1.435 0.909 -0.096
    BedouinB 0.969 0.303 -0.024 -1.147
    Dinka -1.122 -0.251 0.244 0.132
    Mota.SG -0.992 -1.081 -0.737 -1.460


    full rank
    f4info:
    f4rank: 5 dof: 0 chisq: 0.000 tail: 1 dofdiff: 18 chisqdiff: 88.596 taildiff: 2.57751226e-11
    B:
    scale 1.000 1.000 1.000 1.000 1.000
    South_Africa_2000BP.SG -0.081 -1.263 -1.089 -1.075 -0.033
    Shum_Laka.SG -0.015 -0.447 -0.344 -0.138 -0.880
    Mende -0.073 -0.748 0.135 0.834 -0.827
    Nuer -0.141 1.214 -0.520 3.932 1.582
    Ust_Ishim 0.958 -0.447 1.742 -0.452 0.328
    Brazil_LapaDoSanto_9600BP 1.091 -0.198 -0.473 -0.812 -0.134
    Iron_Gates_HG 1.329 0.676 0.538 -0.807 -0.697
    Yana 1.052 0.169 0.455 0.151 -0.515
    Tianyuan 0.981 -0.250 0.467 0.323 -0.857
    SunghirIV 1.123 0.176 0.654 0.057 0.737
    GoyetQ116-1 1.173 0.350 0.529 -0.618 -0.364
    EHG 1.235 -0.321 -0.659 0.076 0.118
    Taiwan_Hanben 1.003 -0.298 0.850 -0.247 -0.263
    IBM 0.869 2.566 2.272 -0.118 2.333
    Barcin_N 1.493 2.661 0.375 -1.255 -2.497
    CHG 1.235 -0.907 -0.400 0.474 0.472
    Ganj_Dareh_N 1.197 -0.675 -0.985 0.513 0.789
    Jomon 1.031 0.191 -0.834 0.236 1.115
    Paleo_Aleut 1.049 -0.483 -0.784 0.406 0.712
    Boisman_MN 0.991 0.340 1.048 -0.504 -1.015
    Aeta 0.934 -1.270 -2.307 0.132 0.205
    Onge 0.944 -0.316 -0.641 -0.081 0.569
    A:
    scale 75.668 2391.996 3296.374 1376.059 3625.366
    Natufian 0.871 0.614 1.954 -1.331 0.627
    Levant_N 1.029 0.791 -0.195 -0.932 -1.108
    BedouinB 0.999 -1.525 -0.051 0.089 -1.018
    Dinka -1.091 -0.536 0.890 0.569 -1.446
    Mota.SG -0.997 -1.177 -0.591 -1.424 -0.502


    best coefficients: 0.134 -0.010 0.429 0.615 -0.167
    Jackknife mean: -0.654835121 0.522973947 0.624016147 0.409157023 0.098688004
    std. errors: 0.296 0.344 0.116 0.059 0.077

    error covariance (* 1000000)
    87783 -98681 19777 4213 -13092
    -98681 118415 -30398 -3471 14135
    19777 -30398 13508 -67 -2820
    4213 -3471 -67 3435 -4110
    -13092 14135 -2820 -4110 5887


    summ: Hadendowa 5 0.000000 -0.655 0.523 0.624 0.409 0.099 87783 -98681 19777 4213 -13092 118415 -30398 -3471 14135 13508 ...
    -67 -2820 3435 -4110 5887

    fixed pat wt dof chisq tail prob
    00000 0 18 88.596 2.57751e-11 0.134 -0.010 0.429 0.615 -0.167 infeasible
    00001 1 19 86.924 1.15783e-10 0.388 -0.356 0.523 0.445 -0.000 infeasible
    00010 1 19 92.635 1.12829e-11 14.946 -17.380 4.272 0.411 -1.249 infeasible
    00100 1 19 95.068 4.14508e-12 -2.455 2.815 0.000 0.743 -0.103 infeasible
    01000 1 19 88.715 5.59918e-11 0.136 0.000 0.416 0.622 -0.174 infeasible
    10000 1 19 87.082 1.08606e-10 0.000 0.122 0.422 0.623 -0.167 infeasible
    00011 2 20 111.596 1.00419e-14 5.639 -6.866 2.227 -0.000 -0.000 infeasible
    00101 2 20 95.774 7.1314e-12 -2.680 3.014 0.000 0.665 -0.000 infeasible
    00110 2 20 117.973 6.76043e-16 -44.675 42.158 0.000 0.000 3.517 infeasible
    01001 2 20 99.657 1.45084e-12 0.107 -0.000 0.425 0.468 -0.000
    01010 2 20 160.780 5.30723e-24 -2.632 0.000 3.205 -0.000 0.427 infeasible
    01100 2 20 128.753 6.6766e-18 0.551 0.000 0.000 0.712 -0.263 infeasible
    10001 2 20 108.992 2.99775e-14 -0.000 0.048 0.484 0.469 -0.000
    10010 2 20 137.226 1.69711e-19 -0.000 -3.270 4.111 -0.000 0.159 infeasible
    10100 2 20 101.403 7.05856e-13 -0.000 0.514 0.000 0.711 -0.225 infeasible
    11000 2 20 111.776 9.30782e-15 -0.000 0.000 0.554 0.597 -0.151 infeasible
    00111 3 21 136.019 7.63863e-19 9.488 -8.488 0.000 -0.000 -0.000 infeasible
    01011 3 21 170.485 2.07602e-25 -16.524 0.396 17.312 -0.015 -0.170 infeasible
    01101 3 21 141.102 8.47926e-20 0.517 -0.000 0.000 0.483 -0.000
    01110 3 21 272.206 0 0.434 0.000 0.000 -0.000 0.566
    10011 3 21 204.552 0 0.000 -4.165 5.165 -0.000 -0.000 infeasible
    10101 3 21 126.411 4.7024e-17 -0.000 0.487 0.000 0.513 -0.000
    10110 3 21 258.265 0 -0.000 0.403 0.000 0.000 0.597
    11001 3 21 122.797 2.1857e-16 0.000 -0.000 0.536 0.464 -0.000
    11010 3 21 253.633 0 0.000 0.000 0.461 -0.000 0.539
    11100 3 21 234.766 0 0.000 -0.000 0.000 -2.744 3.744 infeasible
    01111 4 22 1392.578 0 1.000 0.000 0.000 -0.000 -0.000
    10111 4 22 2481.224 0 0.000 1.000 0.000 -0.000 -0.000
    11011 4 22 1657.061 0 0.000 0.000 1.000 -0.000 -0.000
    11101 4 22 2356.303 0 0.000 0.000 0.000 1.000 -0.000
    11110 4 22 983.523 0 0.000 0.000 0.000 -0.000 1.000
    Last edited by Chad Rohlfsen; 12-04-2020 at 03:40 AM.

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  11. #586
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    Also, what kind of West African > IBM are you thinking specifically? Gambian, Yoruba, Shum Laka, or you can't tell that granularly?

  12. #587
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    Quote Originally Posted by TuaMan View Post
    Your attachment doesn't seem to be working, at least for me.

    I would need to double check the original paper but I'm pretty sure the early East African pastoralists also had some unquestionably SSA uniparentals (namely different varieties of L mtDNA) so they're unlikely to be purely BE or North African migrants.
    I fixed the link above. I've checked the uniparentals on there. I don't see anything really that we can say is without a doubt connected to SSA. It was L3 and K1 mtDNA and E2 for the one Y. I don't think any of these can be ruled out as being part of that group. A Basal group should straddle both Eurasian and Sub-Saharan in markers..or the overlap, if you will. I'm sure we can't also say zero flow ever occurred after the split and it is lost in bigger picture.

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  14. #588
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    Quote Originally Posted by TuaMan View Post
    Also, what kind of West African > IBM are you thinking specifically? Gambian, Yoruba, Shum Laka, or you can't tell that granularly?
    I'm looking at this.

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  16. #589
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    Somali
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    Canada Somaliland
    Quote Originally Posted by Chad Rohlfsen View Post
    You can see below that there is nothing even closely resembling a feasible model from these populations. Even if one or more was not needed, there should still be a passing or near passing model somewhere in the output that tells you which populations are set to .000, or not needed in the model. That is one useful deal about qpAdm. So, there is obviously something amiss here. Not just here, but in the qpGraph and D-stats that suggests there isn't anything deeper in the two early pastoralists that can't just be modeled as Basal Eurasian. I think the Pastoralist individuals are the missing link to make a successful model. I'm going to be testing this out.

    left pops:
    Hadendowa
    Natufian
    Levant_N
    BedouinB
    Dinka
    Mota.SG

    right pops:
    Chimp
    South_Africa_2000BP.SG
    Shum_Laka.SG
    Mende
    Nuer
    Ust_Ishim
    Brazil_LapaDoSanto_9600BP
    Iron_Gates_HG
    Yana
    Tianyuan
    SunghirIV
    GoyetQ116-1
    EHG
    Taiwan_Hanben
    IBM
    Barcin_N
    CHG
    Ganj_Dareh_N
    Jomon
    Paleo_Aleut
    Boisman_MN
    Aeta
    Onge

    0 Hadendowa 14
    1 Natufian 6
    2 Levant_N 15
    3 BedouinB 2
    4 Dinka 2
    5 Mota.SG 1
    6 Chimp 1
    7 South_Africa_2000BP.SG 2
    8 Shum_Laka.SG 1
    9 Mende 2
    10 Nuer 16
    11 Ust_Ishim 1
    12 Brazil_LapaDoSanto_9600BP 6
    13 Iron_Gates_HG 40
    14 Yana 2
    15 Tianyuan 1
    16 SunghirIV 1
    17 GoyetQ116-1 1
    18 EHG 3
    19 Taiwan_Hanben 48
    20 IBM 4
    21 Barcin_N 25
    22 CHG 2
    23 Ganj_Dareh_N 8
    24 Jomon 6
    25 Paleo_Aleut 4
    26 Boisman_MN 12
    27 Aeta 3
    28 Onge 11
    jackknife block size: 0.050
    snps: 1150636 indivs: 240
    number of blocks for block jackknife: 713
    ## ncols: 1150636
    coverage: Hadendowa 565352
    coverage: Natufian 514148
    coverage: Levant_N 904850
    coverage: BedouinB 781454
    coverage: Dinka 781455
    coverage: Mota.SG 1149598
    coverage: Chimp 1102442
    coverage: South_Africa_2000BP.SG 1087703
    coverage: Shum_Laka.SG 1147190
    coverage: Mende 769394
    coverage: Nuer 565348
    coverage: Ust_Ishim 1147829
    coverage: Brazil_LapaDoSanto_9600BP 961887
    coverage: Iron_Gates_HG 1141414
    coverage: Yana 1149918
    coverage: Tianyuan 844120
    coverage: SunghirIV 1138519
    coverage: GoyetQ116-1 765579
    coverage: EHG 1027057
    coverage: Taiwan_Hanben 1138853
    coverage: IBM 1090734
    coverage: Barcin_N 1137966
    coverage: CHG 1149558
    coverage: Ganj_Dareh_N 1057358
    coverage: Jomon 935910
    coverage: Paleo_Aleut 960525
    coverage: Boisman_MN 1031750
    coverage: Aeta 1060714
    coverage: Onge 616424
    dof (jackknife): 601.806
    numsnps used: 44649
    codimension 1
    f4info:
    f4rank: 4 dof: 18 chisq: 88.596 tail: 2.57751226e-11 dofdiff: 20 chisqdiff: -88.596 taildiff: 1
    B:
    scale 1.000 1.000 1.000 1.000
    South_Africa_2000BP.SG -0.072 -0.528 -1.064 -1.544
    Shum_Laka.SG -0.021 -0.247 0.008 -0.602
    Mende -0.076 0.552 0.166 -0.183
    Nuer -0.159 3.394 3.444 2.354
    Ust_Ishim 0.962 -0.287 -1.669 0.381
    Brazil_LapaDoSanto_9600BP 1.095 -0.621 -0.245 -0.651
    Iron_Gates_HG 1.331 -1.083 0.019 0.179
    Yana 1.048 -0.115 0.146 0.335
    Tianyuan 0.978 0.038 0.171 0.109
    SunghirIV 1.125 0.227 -0.623 0.461
    GoyetQ116-1 1.169 -0.833 -0.177 0.274
    EHG 1.234 0.200 0.221 -0.428
    Taiwan_Hanben 1.001 -0.189 -0.700 -0.148
    IBM 0.882 -0.258 -1.172 2.846
    Barcin_N 1.500 -2.058 1.864 0.924
    CHG 1.227 0.770 -0.182 -0.566
    Ganj_Dareh_N 1.189 0.801 0.146 -0.514
    Jomon 1.036 0.546 0.260 -0.098
    Paleo_Aleut 1.044 0.755 0.059 -0.468
    Boisman_MN 0.994 -0.753 -0.162 0.218
    Aeta 0.931 0.562 0.307 -1.540
    Onge 0.942 0.262 -0.166 -0.520
    A:
    scale 74.109 1530.519 3509.329 1830.186
    Natufian 0.884 -1.272 -1.890 1.235
    Levant_N 1.018 -1.435 0.909 -0.096
    BedouinB 0.969 0.303 -0.024 -1.147
    Dinka -1.122 -0.251 0.244 0.132
    Mota.SG -0.992 -1.081 -0.737 -1.460


    full rank
    f4info:
    f4rank: 5 dof: 0 chisq: 0.000 tail: 1 dofdiff: 18 chisqdiff: 88.596 taildiff: 2.57751226e-11
    B:
    scale 1.000 1.000 1.000 1.000 1.000
    South_Africa_2000BP.SG -0.081 -1.263 -1.089 -1.075 -0.033
    Shum_Laka.SG -0.015 -0.447 -0.344 -0.138 -0.880
    Mende -0.073 -0.748 0.135 0.834 -0.827
    Nuer -0.141 1.214 -0.520 3.932 1.582
    Ust_Ishim 0.958 -0.447 1.742 -0.452 0.328
    Brazil_LapaDoSanto_9600BP 1.091 -0.198 -0.473 -0.812 -0.134
    Iron_Gates_HG 1.329 0.676 0.538 -0.807 -0.697
    Yana 1.052 0.169 0.455 0.151 -0.515
    Tianyuan 0.981 -0.250 0.467 0.323 -0.857
    SunghirIV 1.123 0.176 0.654 0.057 0.737
    GoyetQ116-1 1.173 0.350 0.529 -0.618 -0.364
    EHG 1.235 -0.321 -0.659 0.076 0.118
    Taiwan_Hanben 1.003 -0.298 0.850 -0.247 -0.263
    IBM 0.869 2.566 2.272 -0.118 2.333
    Barcin_N 1.493 2.661 0.375 -1.255 -2.497
    CHG 1.235 -0.907 -0.400 0.474 0.472
    Ganj_Dareh_N 1.197 -0.675 -0.985 0.513 0.789
    Jomon 1.031 0.191 -0.834 0.236 1.115
    Paleo_Aleut 1.049 -0.483 -0.784 0.406 0.712
    Boisman_MN 0.991 0.340 1.048 -0.504 -1.015
    Aeta 0.934 -1.270 -2.307 0.132 0.205
    Onge 0.944 -0.316 -0.641 -0.081 0.569
    A:
    scale 75.668 2391.996 3296.374 1376.059 3625.366
    Natufian 0.871 0.614 1.954 -1.331 0.627
    Levant_N 1.029 0.791 -0.195 -0.932 -1.108
    BedouinB 0.999 -1.525 -0.051 0.089 -1.018
    Dinka -1.091 -0.536 0.890 0.569 -1.446
    Mota.SG -0.997 -1.177 -0.591 -1.424 -0.502


    best coefficients: 0.134 -0.010 0.429 0.615 -0.167
    Jackknife mean: -0.654835121 0.522973947 0.624016147 0.409157023 0.098688004
    std. errors: 0.296 0.344 0.116 0.059 0.077

    error covariance (* 1000000)
    87783 -98681 19777 4213 -13092
    -98681 118415 -30398 -3471 14135
    19777 -30398 13508 -67 -2820
    4213 -3471 -67 3435 -4110
    -13092 14135 -2820 -4110 5887


    summ: Hadendowa 5 0.000000 -0.655 0.523 0.624 0.409 0.099 87783 -98681 19777 4213 -13092 118415 -30398 -3471 14135 13508 ...
    -67 -2820 3435 -4110 5887

    fixed pat wt dof chisq tail prob
    00000 0 18 88.596 2.57751e-11 0.134 -0.010 0.429 0.615 -0.167 infeasible
    00001 1 19 86.924 1.15783e-10 0.388 -0.356 0.523 0.445 -0.000 infeasible
    00010 1 19 92.635 1.12829e-11 14.946 -17.380 4.272 0.411 -1.249 infeasible
    00100 1 19 95.068 4.14508e-12 -2.455 2.815 0.000 0.743 -0.103 infeasible
    01000 1 19 88.715 5.59918e-11 0.136 0.000 0.416 0.622 -0.174 infeasible
    10000 1 19 87.082 1.08606e-10 0.000 0.122 0.422 0.623 -0.167 infeasible
    00011 2 20 111.596 1.00419e-14 5.639 -6.866 2.227 -0.000 -0.000 infeasible
    00101 2 20 95.774 7.1314e-12 -2.680 3.014 0.000 0.665 -0.000 infeasible
    00110 2 20 117.973 6.76043e-16 -44.675 42.158 0.000 0.000 3.517 infeasible
    01001 2 20 99.657 1.45084e-12 0.107 -0.000 0.425 0.468 -0.000
    01010 2 20 160.780 5.30723e-24 -2.632 0.000 3.205 -0.000 0.427 infeasible
    01100 2 20 128.753 6.6766e-18 0.551 0.000 0.000 0.712 -0.263 infeasible
    10001 2 20 108.992 2.99775e-14 -0.000 0.048 0.484 0.469 -0.000
    10010 2 20 137.226 1.69711e-19 -0.000 -3.270 4.111 -0.000 0.159 infeasible
    10100 2 20 101.403 7.05856e-13 -0.000 0.514 0.000 0.711 -0.225 infeasible
    11000 2 20 111.776 9.30782e-15 -0.000 0.000 0.554 0.597 -0.151 infeasible
    00111 3 21 136.019 7.63863e-19 9.488 -8.488 0.000 -0.000 -0.000 infeasible
    01011 3 21 170.485 2.07602e-25 -16.524 0.396 17.312 -0.015 -0.170 infeasible
    01101 3 21 141.102 8.47926e-20 0.517 -0.000 0.000 0.483 -0.000
    01110 3 21 272.206 0 0.434 0.000 0.000 -0.000 0.566
    10011 3 21 204.552 0 0.000 -4.165 5.165 -0.000 -0.000 infeasible
    10101 3 21 126.411 4.7024e-17 -0.000 0.487 0.000 0.513 -0.000
    10110 3 21 258.265 0 -0.000 0.403 0.000 0.000 0.597
    11001 3 21 122.797 2.1857e-16 0.000 -0.000 0.536 0.464 -0.000
    11010 3 21 253.633 0 0.000 0.000 0.461 -0.000 0.539
    11100 3 21 234.766 0 0.000 -0.000 0.000 -2.744 3.744 infeasible
    01111 4 22 1392.578 0 1.000 0.000 0.000 -0.000 -0.000
    10111 4 22 2481.224 0 0.000 1.000 0.000 -0.000 -0.000
    11011 4 22 1657.061 0 0.000 0.000 1.000 -0.000 -0.000
    11101 4 22 2356.303 0 0.000 0.000 0.000 1.000 -0.000
    11110 4 22 983.523 0 0.000 0.000 0.000 -0.000 1.000
    The Dstats are absolutely messed up when it comes to heavily admixed Eurasian + African + Basal sources. Even for modern populations. For example, I very strongly prefer Eurasians over Drobbah and Drobbah very strongly prefers Eurasians versus me. I think it might a result of expected heterozygosity rates. It also happens with the Pastoral neolithic sample.

  17. The Following 5 Users Say Thank You to Mnemonics For This Useful Post:

     drobbah (12-04-2020),  Gadzooks (12-05-2020),  Megalophias (12-04-2020),  Ryukendo (12-04-2020),  sum1 (12-04-2020)

  18. #590
    Registered Users
    Posts
    154
    Sex
    Location
    Canada
    Ethnicity
    Somali
    Y-DNA (P)
    T-L208
    mtDNA (M)
    N1b2

    Canada Somaliland
    Quote Originally Posted by Chad Rohlfsen View Post
    I fixed the link above. I've checked the uniparentals on there. I don't see anything really that we can say is without a doubt connected to SSA. It was L3 and K1 mtDNA and E2 for the one Y. I don't think any of these can be ruled out as being part of that group. A Basal group should straddle both Eurasian and Sub-Saharan in markers..or the overlap, if you will. I'm sure we can't also say zero flow ever occurred after the split and it is lost in bigger picture.
    Those early pastoralists were likely part of two distinct populations one that seemed more Natufian like and one that had both more CHG/Iran_N affinities as well as more Iberomaurusian affinity (Late Halfan survivours?). I generally stick to using modern populations + Iberomaurusian in the right poplist when dealing with heavily admixed Africans because there is effect with damaged samples that generally disappears when you stick to transversion snps.

    Here are some sucessful models using modern populations in the right poplist for those early pastoralists. Levant_BA is the Jordanian EBA samples.


    Code:
    Early Pastoralist Models 
    
    
    
    Early Pastoralist 1: CHG Affinity 
    
    ALLSNPS:YES
    
    ./qpAdm: parameter file: parqpAdm
    ### THE INPUT PARAMETERS
    ##PARAMETER NAME: VALUE
    DIR: home/mnemonics/AdmixTools-master/bin
    S1: qpdata
    indivname: Nat6v8.ind
    snpname: Nat6v8.snp
    genotypename: Nat6v8.geno
    popleft: left1
    popright: right1
    details: YES
    allsnps: YES
    ## qpAdm version: 1201
    seed: 1125138940
    packed geno read OK
    end of inpack
    
    left pops:
    Kenya_EarlyPastoralN1
    Dinka
    Mota
    Levant_BA
    Iberomaurusian4
    
    right pops:
    Khomani_San
    Chukchi
    Han
    Abkhasian
    Iranian
    Sardinian
    Luo
    Estonian
    Australian
    Iberomaurusian
    
      0 Kenya_EarlyPastoralN1    1
      1                Dinka    1
      2                 Mota    1
      3            Levant_BA    3
      4      Iberomaurusian4    1
      5          Khomani_San    2
      6              Chukchi    1
      7                  Han    4
      8            Abkhasian    2
      9              Iranian    2
     10            Sardinian    4
     11                  Luo    2
     12             Estonian    2
     13           Australian    2
     14       Iberomaurusian    3
    jackknife block size:     0.050
    snps: 1135521  indivs: 31
    number of blocks for block jackknife: 714
    ## ncols: 1135521
    coverage: Kenya_EarlyPastoralN1 584384
    coverage:                Dinka 1135118
    coverage:                 Mota 1134612
    coverage:            Levant_BA 870086
    coverage:      Iberomaurusian4 953817
    coverage:          Khomani_San 1106964
    coverage:              Chukchi 1105918
    coverage:                  Han 1135400
    coverage:            Abkhasian 1107067
    coverage:              Iranian 1107130
    coverage:            Sardinian 1135401
    coverage:                  Luo 1107058
    coverage:             Estonian 1107090
    coverage:           Australian 1106706
    coverage:       Iberomaurusian 1069813
    Effective number of blocks:   613.626
    numsnps used: 1135521
    codimension 1
    f4info: 
    f4rank: 3 dof:      6 chisq:     7.758 tail:          0.256412695 dofdiff:      8 chisqdiff:    -7.758 taildiff:                    1
    B:
              scale     1.000     1.000     1.000 
            Chukchi     0.951     0.343    -0.160 
                Han     0.916     0.302    -0.003 
          Abkhasian     1.092     0.549    -0.224 
            Iranian     1.034     0.544    -0.290 
          Sardinian     1.213     0.595     0.086 
                Luo     0.080    -0.081     2.878 
           Estonian     1.095     0.519    -0.154 
         Australian     0.803     0.207     0.139 
     Iberomaurusian     1.293    -2.743    -0.712 
    A:
              scale    99.671   231.350  2221.823 
              Dinka    -0.999    -0.350     1.533 
               Mota    -1.148    -0.322    -1.282 
          Levant_BA     1.085     0.601    -0.031 
    Iberomaurusian4     0.711    -1.847     0.063 
    
    
    full rank
    f4info: 
    f4rank: 4 dof:      0 chisq:     0.000 tail:                    1 dofdiff:      6 chisqdiff:     7.758 taildiff:          0.256412695
    B:
              scale    95.710    84.732    89.701    91.393 
            Chukchi    -0.971    -0.960     1.037     0.383 
                Han    -0.949    -0.959     0.965     0.365 
          Abkhasian    -1.182    -1.162     1.186     0.293 
            Iranian    -1.128    -1.101     1.128     0.261 
          Sardinian    -1.264    -1.280     1.341     0.369 
                Luo     0.116    -0.221     0.056     0.116 
           Estonian    -1.176    -1.158     1.186     0.323 
         Australian    -0.814    -0.840     0.843     0.367 
     Iberomaurusian    -0.912    -0.928     0.629     2.860 
    A:
              scale     2.000     2.000     2.000     2.000 
              Dinka     2.000     0.000     0.000     0.000 
               Mota     0.000     2.000     0.000     0.000 
          Levant_BA     0.000     0.000     2.000     0.000 
    Iberomaurusian4     0.000     0.000     0.000     2.000 
    
    
    best coefficients:     0.227     0.264     0.451     0.058 
    Jackknife mean:      0.227421166     0.263721064     0.451129837     0.057727933 
          std. errors:     0.051     0.052     0.013     0.008 
    
    error covariance (* 1,000,000)
          2571      -2543        -64         36 
         -2543       2662        -60        -59 
           -64        -60        163        -38 
            36        -59        -38         61 
    
    
    summ: Kenya_EarlyPastoralN1    4      0.256413     0.227     0.264     0.451     0.058       2571      -2543        -64         36       2662   ...
           -60        -59        163        -38         61 
    
        fixed pat  wt  dof     chisq       tail prob
             0000  0     6     7.758        0.256413     0.227     0.264     0.451     0.058 
             0001  1     7    58.563     2.92078e-10     0.147     0.367     0.485     0.000 
             0010  1     7   257.946               0   -26.561    27.769     0.000    -0.209  infeasible
             0100  1     7    33.223     2.40591e-05     0.478     0.000     0.459     0.063 
             1000  1     7    35.538     8.85846e-06     0.000     0.491     0.455     0.054 
             0011  2     8   250.467               0   -18.774    19.774     0.000     0.000  infeasible
             0101  2     8    98.093     1.04696e-17     0.505     0.000     0.495     0.000 
             0110  2     8   987.743               0     0.849     0.000     0.000     0.151 
             1001  2     8    75.526     3.86977e-13     0.000     0.519     0.481     0.000 
             1010  2     8   920.258               0     0.000     0.852     0.000     0.148 
             1100  2     8  1336.774               0     0.000     0.000     0.888     0.112 
             0111  3     9  1301.712               0     1.000     0.000     0.000     0.000 
             1011  3     9  1142.427               0     0.000     1.000     0.000     0.000 
             1101  3     9  1501.786               0     0.000     0.000     1.000     0.000 
             1110  3     9  5024.226               0     0.000     0.000     0.000     1.000 
    best pat:         0000         0.256413              -  -
    best pat:         0100      2.40591e-05  chi(nested):    25.466 p-value for nested model:     4.50344e-07
    best pat:         1001      3.86977e-13 not nested
    best pat:         1011     3.24275e-240  chi(nested):  1066.901 p-value for nested model:    5.16745e-234
    
    coeffs:     0.227     0.264     0.451     0.058 
    
    ## dscore:: f_4(Base, Fit, Rbase, right2)
    ## genstat:: f_4(Base, Fit, right1, right2)
    
    details:                Dinka              Chukchi    -0.010141  -21.719070
    details:                 Mota              Chukchi    -0.011334  -24.022433
    details:            Levant_BA              Chukchi     0.011563   28.071124
    details:      Iberomaurusian4              Chukchi     0.004186    8.811723
    dscore:              Chukchi f4:     0.000161 Z:     0.425833
    
    details:                Dinka                  Han    -0.009914  -22.137725
    details:                 Mota                  Han    -0.011319  -25.661353
    details:            Levant_BA                  Han     0.010759   27.390401
    details:      Iberomaurusian4                  Han     0.003991    9.137601
    dscore:                  Han f4:    -0.000158 Z:    -0.445182
    
    details:                Dinka            Abkhasian    -0.012346  -26.767835
    details:                 Mota            Abkhasian    -0.013719  -30.043447
    details:            Levant_BA            Abkhasian     0.013227   33.528354
    details:      Iberomaurusian4            Abkhasian     0.003210    7.223229
    dscore:            Abkhasian f4:    -0.000276 Z:    -0.757234
    
    details:                Dinka              Iranian    -0.011782  -25.874074
    details:                 Mota              Iranian    -0.012989  -29.052460
    details:            Levant_BA              Iranian     0.012576   31.978481
    details:      Iberomaurusian4              Iranian     0.002861    6.562952
    dscore:              Iranian f4:    -0.000269 Z:    -0.733574
    
    details:                Dinka            Sardinian    -0.013211  -28.372565
    details:                 Mota            Sardinian    -0.015104  -31.733638
    details:            Levant_BA            Sardinian     0.014946   35.168904
    details:      Iberomaurusian4            Sardinian     0.004040    8.500969
    dscore:            Sardinian f4:    -0.000015 Z:    -0.038956
    
    details:                Dinka                  Luo     0.001208    4.383617
    details:                 Mota                  Luo    -0.002608   -9.623213
    details:            Levant_BA                  Luo     0.000628    2.861308
    details:      Iberomaurusian4                  Luo     0.001274    4.988747
    dscore:                  Luo f4:    -0.000056 Z:    -0.284009
    
    details:                Dinka             Estonian    -0.012292  -27.248355
    details:                 Mota             Estonian    -0.013667  -30.366656
    details:            Levant_BA             Estonian     0.013220   32.346512
    details:      Iberomaurusian4             Estonian     0.003538    7.851477
    dscore:             Estonian f4:    -0.000235 Z:    -0.629621
    
    details:                Dinka           Australian    -0.008507  -19.428031
    details:                 Mota           Australian    -0.009915  -22.261163
    details:            Levant_BA           Australian     0.009399   24.721978
    details:      Iberomaurusian4           Australian     0.004013    9.334870
    dscore:           Australian f4:    -0.000080 Z:    -0.230876
    
    details:                Dinka       Iberomaurusian    -0.009524  -22.407371
    details:                 Mota       Iberomaurusian    -0.010957  -24.298256
    details:            Levant_BA       Iberomaurusian     0.007008   18.350543
    details:      Iberomaurusian4       Iberomaurusian     0.031289   63.390501
    dscore:       Iberomaurusian f4:    -0.000090 Z:    -0.258646
    
    gendstat:          Khomani_San              Chukchi     0.426
    gendstat:          Khomani_San                  Han    -0.445
    gendstat:          Khomani_San            Abkhasian    -0.757
    gendstat:          Khomani_San              Iranian    -0.734
    gendstat:          Khomani_San            Sardinian    -0.039
    gendstat:          Khomani_San                  Luo    -0.284
    gendstat:          Khomani_San             Estonian    -0.630
    gendstat:          Khomani_San           Australian    -0.231
    gendstat:          Khomani_San       Iberomaurusian    -0.259
    gendstat:              Chukchi                  Han    -1.334
    gendstat:              Chukchi            Abkhasian    -1.638
    gendstat:              Chukchi              Iranian    -1.689
    gendstat:              Chukchi            Sardinian    -0.701
    gendstat:              Chukchi                  Luo    -0.596
    gendstat:              Chukchi             Estonian    -1.554
    gendstat:              Chukchi           Australian    -0.841
    gendstat:              Chukchi       Iberomaurusian    -0.781
    gendstat:                  Han            Abkhasian    -0.506
    gendstat:                  Han              Iranian    -0.494
    gendstat:                  Han            Sardinian     0.612
    gendstat:                  Han                  Luo     0.304
    gendstat:                  Han             Estonian    -0.328
    gendstat:                  Han           Australian     0.320
    gendstat:                  Han       Iberomaurusian     0.234
    gendstat:            Abkhasian              Iranian     0.034
    gendstat:            Abkhasian            Sardinian     1.276
    gendstat:            Abkhasian                  Luo     0.631
    gendstat:            Abkhasian             Estonian     0.194
    gendstat:            Abkhasian           Australian     0.746
    gendstat:            Abkhasian       Iberomaurusian     0.629
    gendstat:              Iranian            Sardinian     1.226
    gendstat:              Iranian                  Luo     0.612
    gendstat:              Iranian             Estonian     0.161
    gendstat:              Iranian           Australian     0.722
    gendstat:              Iranian       Iberomaurusian     0.597
    gendstat:            Sardinian                  Luo    -0.114
    gendstat:            Sardinian             Estonian    -1.175
    gendstat:            Sardinian           Australian    -0.244
    gendstat:            Sardinian       Iberomaurusian    -0.255
    gendstat:                  Luo             Estonian    -0.507
    gendstat:                  Luo           Australian    -0.071
    gendstat:                  Luo       Iberomaurusian    -0.107
    gendstat:             Estonian           Australian     0.597
    gendstat:             Estonian       Iberomaurusian     0.478
    gendstat:           Australian       Iberomaurusian    -0.035
    
    ##end of qpAdm:      121.441 seconds cpu     1283.707 Mbytes in use
    
    
    ALLSNPS:NO
    
    
    ./qpAdm: parameter file: parqpAdm
    ### THE INPUT PARAMETERS
    ##PARAMETER NAME: VALUE
    DIR: home/mnemonics/AdmixTools-master/bin
    S1: qpdata
    indivname: Nat6v8.ind
    snpname: Nat6v8.snp
    genotypename: Nat6v8.geno
    popleft: left1
    popright: right1
    details: YES
    allsnps: NO
    ## qpAdm version: 1201
    seed: 1125912536
    packed geno read OK
    end of inpack
    
    left pops:
    Kenya_EarlyPastoralN1
    Dinka
    Mota
    Levant_BA
    Iberomaurusian4
    
    right pops:
    Khomani_San
    Chukchi
    Han
    Abkhasian
    Iranian
    Sardinian
    Luo
    Estonian
    Australian
    Iberomaurusian
    
      0 Kenya_EarlyPastoralN1    1
      1                Dinka    1
      2                 Mota    1
      3            Levant_BA    3
      4      Iberomaurusian4    1
      5          Khomani_San    2
      6              Chukchi    1
      7                  Han    4
      8            Abkhasian    2
      9              Iranian    2
     10            Sardinian    4
     11                  Luo    2
     12             Estonian    2
     13           Australian    2
     14       Iberomaurusian    3
    jackknife block size:     0.050
    snps: 1135521  indivs: 31
    number of blocks for block jackknife: 714
    ## ncols: 1135521
    coverage: Kenya_EarlyPastoralN1 584384
    coverage:                Dinka 1135118
    coverage:                 Mota 1134612
    coverage:            Levant_BA 870086
    coverage:      Iberomaurusian4 953817
    coverage:          Khomani_San 1106964
    coverage:              Chukchi 1105918
    coverage:                  Han 1135400
    coverage:            Abkhasian 1107067
    coverage:              Iranian 1107130
    coverage:            Sardinian 1135401
    coverage:                  Luo 1107058
    coverage:             Estonian 1107090
    coverage:           Australian 1106706
    coverage:       Iberomaurusian 1069813
    Effective number of blocks:   618.136
    numsnps used: 538521
    codimension 1
    f4info: 
    f4rank: 3 dof:      6 chisq:     6.073 tail:          0.415022976 dofdiff:      8 chisqdiff:    -6.073 taildiff:                    1
    B:
              scale     1.000     1.000     1.000 
            Chukchi     0.996     0.339    -0.126 
                Han     0.873     0.265    -0.030 
          Abkhasian     1.113     0.531    -0.210 
            Iranian     1.054     0.525    -0.341 
          Sardinian     1.143     0.522    -0.009 
                Luo     0.085    -0.079     2.888 
           Estonian     1.109     0.494    -0.133 
         Australian     0.829     0.205     0.107 
     Iberomaurusian     1.291    -2.773    -0.675 
    A:
              scale    81.187   185.364  1743.764 
              Dinka    -0.974    -0.339     1.495 
               Mota    -1.130    -0.317    -1.323 
          Levant_BA     1.136     0.611    -0.071 
    Iberomaurusian4     0.696    -1.847     0.089 
    
    
    full rank
    f4info: 
    f4rank: 4 dof:      0 chisq:     0.000 tail:                    1 dofdiff:      6 chisqdiff:     6.073 taildiff:          0.415022976
    B:
              scale    80.570    70.741    70.132    73.654 
            Chukchi    -1.018    -1.012     1.085     0.392 
                Han    -0.910    -0.919     0.914     0.340 
          Abkhasian    -1.201    -1.184     1.212     0.301 
            Iranian    -1.152    -1.119     1.149     0.266 
          Sardinian    -1.195    -1.205     1.257     0.350 
                Luo     0.120    -0.242     0.058     0.121 
           Estonian    -1.185    -1.169     1.208     0.331 
         Australian    -0.840    -0.867     0.871     0.370 
     Iberomaurusian    -0.903    -0.920     0.631     2.861 
    A:
              scale     2.000     2.000     2.000     2.000 
              Dinka     2.000     0.000     0.000     0.000 
               Mota     0.000     2.000     0.000     0.000 
          Levant_BA     0.000     0.000     2.000     0.000 
    Iberomaurusian4     0.000     0.000     0.000     2.000 
    
    
    best coefficients:     0.248     0.260     0.438     0.055 
    Jackknife mean:      0.247561628     0.260038907     0.437568330     0.054831135 
          std. errors:     0.053     0.054     0.013     0.008 
    
    error covariance (* 1,000,000)
          2820      -2789        -73         43 
         -2789       2908        -52        -67 
           -73        -52        163        -38 
            43        -67        -38         62 
    
    
    summ: Kenya_EarlyPastoralN1    4      0.415023     0.248     0.260     0.438     0.055       2820      -2789        -73         43       2908   ...
           -52        -67        163        -38         62 
    
        fixed pat  wt  dof     chisq       tail prob
             0000  0     6     6.073        0.415023     0.248     0.260     0.438     0.055 
             0001  1     7    50.796     1.00783e-08     0.172     0.358     0.470     0.000 
             0010  1     7   241.490               0   -24.994    26.123     0.000    -0.129  infeasible
             0100  1     7    29.213     0.000132277     0.496     0.000     0.444     0.060 
             1000  1     7    34.738     1.25255e-05     0.000     0.508     0.442     0.051 
             0011  2     8   236.820               0   -20.243    21.243     0.000     0.000  infeasible
             0101  2     8    87.274     1.66072e-15     0.524     0.000     0.476     0.000 
             0110  2     8   952.658               0     0.850     0.000     0.000     0.150 
             1001  2     8    69.052     7.58755e-12     0.000     0.534     0.466     0.000 
             1010  2     8   902.285               0     0.000     0.853     0.000     0.147 
             1100  2     8  1339.992               0     0.000     0.000     0.881     0.119 
             0111  3     9  1242.076               0     1.000     0.000     0.000     0.000 
             1011  3     9  1125.498               0     0.000     1.000     0.000     0.000 
             1101  3     9  1518.801               0     0.000     0.000     1.000     0.000 
             1110  3     9  4880.098               0     0.000     0.000     0.000     1.000 
    best pat:         0000         0.415023              -  -
    best pat:         0100      0.000132277  chi(nested):    23.140 p-value for nested model:     1.50618e-06
    best pat:         1001      7.58755e-12 not nested
    best pat:         1011     1.46014e-236  chi(nested):  1056.446 p-value for nested model:    9.67577e-232
    
    coeffs:     0.248     0.260     0.438     0.055 
    
    ## dscore:: f_4(Base, Fit, Rbase, right2)
    ## genstat:: f_4(Base, Fit, right1, right2)
    
    details:                Dinka              Chukchi    -0.012630  -21.493130
    details:                 Mota              Chukchi    -0.014312  -24.205009
    details:            Levant_BA              Chukchi     0.015469   28.108089
    details:      Iberomaurusian4              Chukchi     0.005322    8.639280
    dscore:              Chukchi f4:     0.000210 Z:     0.431121
    
    details:                Dinka                  Han    -0.011290  -22.022719
    details:                 Mota                  Han    -0.012996  -25.698979
    details:            Levant_BA                  Han     0.013034   27.430145
    details:      Iberomaurusian4                  Han     0.004618    8.966534
    dscore:                  Han f4:    -0.000219 Z:    -0.525951
    
    details:                Dinka            Abkhasian    -0.014906  -26.412352
    details:                 Mota            Abkhasian    -0.016731  -29.802429
    details:            Levant_BA            Abkhasian     0.017284   33.691934
    details:      Iberomaurusian4            Abkhasian     0.004085    7.193882
    dscore:            Abkhasian f4:    -0.000256 Z:    -0.553188
    
    details:                Dinka              Iranian    -0.014301  -25.731224
    details:                 Mota              Iranian    -0.015822  -28.799385
    details:            Levant_BA              Iranian     0.016388   31.758200
    details:      Iberomaurusian4              Iranian     0.003615    6.464201
    dscore:              Iranian f4:    -0.000287 Z:    -0.615518
    
    details:                Dinka            Sardinian    -0.014828  -28.090119
    details:                 Mota            Sardinian    -0.017028  -31.429963
    details:            Levant_BA            Sardinian     0.017917   35.219504
    details:      Iberomaurusian4            Sardinian     0.004746    8.471124
    dscore:            Sardinian f4:    -0.000000 Z:    -0.000546
    
    details:                Dinka                  Luo     0.001489    4.154148
    details:                 Mota                  Luo    -0.003414   -9.632898
    details:            Levant_BA                  Luo     0.000831    2.737599
    details:      Iberomaurusian4                  Luo     0.001642    4.752155
    dscore:                  Luo f4:    -0.000065 Z:    -0.242973
    
    details:                Dinka             Estonian    -0.014709  -26.793184
    details:                 Mota             Estonian    -0.016531  -30.004168
    details:            Levant_BA             Estonian     0.017227   32.489170
    details:      Iberomaurusian4             Estonian     0.004497    7.792758
    dscore:             Estonian f4:    -0.000157 Z:    -0.335303
    
    details:                Dinka           Australian    -0.010421  -19.173507
    details:                 Mota           Australian    -0.012260  -22.122193
    details:            Levant_BA           Australian     0.012413   24.608522
    details:      Iberomaurusian4           Australian     0.005029    8.940339
    dscore:           Australian f4:    -0.000062 Z:    -0.138609
    
    details:                Dinka       Iberomaurusian    -0.011211  -21.668535
    details:                 Mota       Iberomaurusian    -0.013011  -23.823674
    details:            Levant_BA       Iberomaurusian     0.008991   18.238012
    details:      Iberomaurusian4       Iberomaurusian     0.038844   62.922907
    dscore:       Iberomaurusian f4:    -0.000097 Z:    -0.221402
    
    gendstat:          Khomani_San              Chukchi     0.431
    gendstat:          Khomani_San                  Han    -0.526
    gendstat:          Khomani_San            Abkhasian    -0.553
    gendstat:          Khomani_San              Iranian    -0.616
    gendstat:          Khomani_San            Sardinian    -0.001
    gendstat:          Khomani_San                  Luo    -0.243
    gendstat:          Khomani_San             Estonian    -0.335
    gendstat:          Khomani_San           Australian    -0.139
    gendstat:          Khomani_San       Iberomaurusian    -0.221
    gendstat:              Chukchi                  Han    -1.414
    gendstat:              Chukchi            Abkhasian    -1.339
    gendstat:              Chukchi              Iranian    -1.522
    gendstat:              Chukchi            Sardinian    -0.679
    gendstat:              Chukchi                  Luo    -0.580
    gendstat:              Chukchi             Estonian    -1.122
    gendstat:              Chukchi           Australian    -0.736
    gendstat:              Chukchi       Iberomaurusian    -0.739
    gendstat:                  Han            Abkhasian    -0.123
    gendstat:                  Han              Iranian    -0.240
    gendstat:                  Han            Sardinian     0.796
    gendstat:                  Han                  Luo     0.384
    gendstat:                  Han             Estonian     0.213
    gendstat:                  Han           Australian     0.519
    gendstat:                  Han       Iberomaurusian     0.345
    gendstat:            Abkhasian              Iranian    -0.116
    gendstat:            Abkhasian            Sardinian     1.009
    gendstat:            Abkhasian                  Luo     0.429
    gendstat:            Abkhasian             Estonian     0.358
    gendstat:            Abkhasian           Australian     0.575
    gendstat:            Abkhasian       Iberomaurusian     0.421
    gendstat:              Iranian            Sardinian     1.135
    gendstat:              Iranian                  Luo     0.498
    gendstat:              Iranian             Estonian     0.471
    gendstat:              Iranian           Australian     0.668
    gendstat:              Iranian       Iberomaurusian     0.501
    gendstat:            Sardinian                  Luo    -0.151
    gendstat:            Sardinian             Estonian    -0.686
    gendstat:            Sardinian           Australian    -0.192
    gendstat:            Sardinian       Iberomaurusian    -0.270
    gendstat:                  Luo             Estonian    -0.207
    gendstat:                  Luo           Australian     0.007
    gendstat:                  Luo       Iberomaurusian    -0.080
    gendstat:             Estonian           Australian     0.290
    gendstat:             Estonian       Iberomaurusian     0.158
    gendstat:           Australian       Iberomaurusian    -0.093
    
    ##end of qpAdm:      124.010 seconds cpu     1283.707 Mbytes in use
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    Early Pastoralist 2: First Wave Pastoralist
    
    
    ALL SNPS: YES
    
    left pops:
    Kenya_EarlyPastoralN2
    Dinka
    Mota
    Natufian
    
    right pops:
    Khomani_San
    Chukchi
    Han
    Abkhasian
    Iranian
    Sardinian
    Luo
    Estonian
    Australian
    Iberomaurusian
    
      0 Kenya_EarlyPastoralN2    1
      1                Dinka    1
      2                 Mota    1
      3             Natufian    6
      4          Khomani_San    2
      5              Chukchi    1
      6                  Han    4
      7            Abkhasian    2
      8              Iranian    2
      9            Sardinian    4
     10                  Luo    2
     11             Estonian    2
     12           Australian    2
     13       Iberomaurusian    3
    jackknife block size:     0.050
    snps: 1135520  indivs: 33
    number of blocks for block jackknife: 714
    ## ncols: 1135520
    coverage: Kenya_EarlyPastoralN2 495701
    coverage:                Dinka 1135118
    coverage:                 Mota 1134612
    coverage:             Natufian 529354
    coverage:          Khomani_San 1106964
    coverage:              Chukchi 1105918
    coverage:                  Han 1135400
    coverage:            Abkhasian 1107067
    coverage:              Iranian 1107130
    coverage:            Sardinian 1135401
    coverage:                  Luo 1107058
    coverage:             Estonian 1107090
    coverage:           Australian 1106706
    coverage:       Iberomaurusian 1069813
    Effective number of blocks:   611.438
    numsnps used: 1135520
    codimension 1
    f4info: 
    f4rank: 2 dof:      7 chisq:     5.851 tail:           0.55724894 dofdiff:      9 chisqdiff:    -5.851 taildiff:                    1
    B:
              scale     1.000     1.000 
            Chukchi     0.989    -0.232 
                Han     0.956    -0.054 
          Abkhasian     1.131    -0.275 
            Iranian     1.083    -0.409 
          Sardinian     1.330    -0.225 
                Luo     0.083     2.926 
           Estonian     1.156    -0.293 
         Australian     0.822     0.040 
     Iberomaurusian     0.931    -0.044 
    A:
              scale   104.837  2192.044 
              Dinka    -1.060     1.467 
               Mota    -1.216    -0.920 
           Natufian     0.631     0.035 
    
    
    full rank
    f4info: 
    f4rank: 3 dof:      0 chisq:     0.000 tail:                    1 dofdiff:      7 chisqdiff:     5.851 taildiff:           0.55724894
    B:
              scale    96.309    85.401   166.075 
            Chukchi    -0.982    -0.975     1.013 
                Han    -0.934    -0.944     0.997 
          Abkhasian    -1.143    -1.134     1.110 
            Iranian    -1.096    -1.076     1.075 
          Sardinian    -1.322    -1.323     1.338 
                Luo     0.103    -0.195     0.090 
           Estonian    -1.174    -1.160     1.128 
         Australian    -0.812    -0.831     0.826 
     Iberomaurusian    -0.926    -0.944     0.914 
    A:
              scale     1.732     1.732     1.732 
              Dinka     1.732     0.000     0.000 
               Mota     0.000     1.732     0.000 
           Natufian     0.000     0.000     1.732 
    
    
    best coefficients:     0.126     0.226     0.648 
    Jackknife mean:      0.126448069     0.225663054     0.647888877 
          std. errors:     0.049     0.051     0.013 
    
    error covariance (* 1,000,000)
          2392      -2420         28 
         -2420       2609       -190 
            28       -190        162 
    
    
    summ: Kenya_EarlyPastoralN2    3      0.557249     0.126     0.226     0.648       2392      -2420         28       2609       -190   ...
           162 
    
        fixed pat  wt  dof     chisq       tail prob
              000  0     7     5.851        0.557249     0.126     0.226     0.648 
              001  1     8   227.693               0   -19.456    20.456     0.000  infeasible
              010  1     8    29.612      0.00024749     0.333     0.000     0.667 
              100  1     8    14.280        0.074749     0.000     0.356     0.644 
              011  2     9  1454.962               0     1.000     0.000     0.000 
              101  2     9  1269.031               0     0.000     1.000     0.000 
              110  2     9   725.423               0     0.000     0.000     1.000 
    best pat:          000         0.557249              -  -
    best pat:          100         0.074749  chi(nested):     8.429 p-value for nested model:      0.00369254
    best pat:          110     2.36331e-150  chi(nested):   711.142 p-value for nested model:    1.13074e-156
    
    coeffs:     0.126     0.226     0.648 
    
    ## dscore:: f_4(Base, Fit, Rbase, right2)
    ## genstat:: f_4(Base, Fit, right1, right2)
    
    details:                Dinka              Chukchi    -0.010193  -24.033680
    details:                 Mota              Chukchi    -0.011420  -25.983020
    details:             Natufian              Chukchi     0.006102   20.064108
    dscore:              Chukchi f4:     0.000085 Z:     0.290171
    
    details:                Dinka                  Han    -0.009702  -22.949267
    details:                 Mota                  Han    -0.011051  -25.456278
    details:             Natufian                  Han     0.006005   18.976100
    dscore:                  Han f4:     0.000168 Z:     0.554310
    
    details:                Dinka            Abkhasian    -0.011867  -27.697878
    details:                 Mota            Abkhasian    -0.013277  -30.142758
    details:             Natufian            Abkhasian     0.006685   22.168319
    dscore:            Abkhasian f4:    -0.000168 Z:    -0.568141
    
    details:                Dinka              Iranian    -0.011384  -26.723765
    details:                 Mota              Iranian    -0.012600  -30.163240
    details:             Natufian              Iranian     0.006473   22.286736
    dscore:              Iranian f4:    -0.000092 Z:    -0.317640
    
    details:                Dinka            Sardinian    -0.013732  -29.068780
    details:                 Mota            Sardinian    -0.015490  -32.291955
    details:             Natufian            Sardinian     0.008060   23.378637
    dscore:            Sardinian f4:    -0.000013 Z:    -0.039274
    
    details:                Dinka                  Luo     0.001066    4.034555
    details:                 Mota                  Luo    -0.002281   -8.682469
    details:             Natufian                  Luo     0.000543    3.001278
    dscore:                  Luo f4:    -0.000029 Z:    -0.169122
    
    details:                Dinka             Estonian    -0.012188  -28.344959
    details:                 Mota             Estonian    -0.013580  -31.559059
    details:             Natufian             Estonian     0.006794   22.021371
    dscore:             Estonian f4:    -0.000207 Z:    -0.683692
    
    details:                Dinka           Australian    -0.008432  -20.994686
    details:                 Mota           Australian    -0.009733  -23.813598
    details:             Natufian           Australian     0.004975   16.945158
    dscore:           Australian f4:    -0.000041 Z:    -0.148217
    
    details:                Dinka       Iberomaurusian    -0.009619  -24.004156
    details:                 Mota       Iberomaurusian    -0.011052  -26.229832
    details:             Natufian       Iberomaurusian     0.005501   18.443171
    dscore:       Iberomaurusian f4:    -0.000149 Z:    -0.525405
    
    gendstat:          Khomani_San              Chukchi     0.290
    gendstat:          Khomani_San                  Han     0.554
    gendstat:          Khomani_San            Abkhasian    -0.568
    gendstat:          Khomani_San              Iranian    -0.318
    gendstat:          Khomani_San            Sardinian    -0.039
    gendstat:          Khomani_San                  Luo    -0.169
    gendstat:          Khomani_San             Estonian    -0.684
    gendstat:          Khomani_San           Australian    -0.148
    gendstat:          Khomani_San       Iberomaurusian    -0.525
    gendstat:              Chukchi                  Han     0.395
    gendstat:              Chukchi            Abkhasian    -1.150
    gendstat:              Chukchi              Iranian    -0.823
    gendstat:              Chukchi            Sardinian    -0.432
    gendstat:              Chukchi                  Luo    -0.412
    gendstat:              Chukchi             Estonian    -1.317
    gendstat:              Chukchi           Australian    -0.549
    gendstat:              Chukchi       Iberomaurusian    -0.885
    gendstat:                  Han            Abkhasian    -1.575
    gendstat:                  Han              Iranian    -1.281
    gendstat:                  Han            Sardinian    -0.849
    gendstat:                  Han                  Luo    -0.736
    gendstat:                  Han             Estonian    -1.810
    gendstat:                  Han           Australian    -1.032
    gendstat:                  Han       Iberomaurusian    -1.272
    gendstat:            Abkhasian              Iranian     0.441
    gendstat:            Abkhasian            Sardinian     0.847
    gendstat:            Abkhasian                  Luo     0.525
    gendstat:            Abkhasian             Estonian    -0.204
    gendstat:            Abkhasian           Australian     0.584
    gendstat:            Abkhasian       Iberomaurusian     0.080
    gendstat:              Iranian            Sardinian     0.429
    gendstat:              Iranian                  Luo     0.247
    gendstat:              Iranian             Estonian    -0.623
    gendstat:              Iranian           Australian     0.236
    gendstat:              Iranian       Iberomaurusian    -0.240
    gendstat:            Sardinian                  Luo    -0.051
    gendstat:            Sardinian             Estonian    -1.050
    gendstat:            Sardinian           Australian    -0.124
    gendstat:            Sardinian       Iberomaurusian    -0.518
    gendstat:                  Luo             Estonian    -0.641
    gendstat:                  Luo           Australian    -0.049
    gendstat:                  Luo       Iberomaurusian    -0.473
    gendstat:             Estonian           Australian     0.732
    gendstat:             Estonian       Iberomaurusian     0.225
    gendstat:           Australian       Iberomaurusian    -0.437
    
    
    ALLSNPS: NO
    
    
    left pops:
    Kenya_EarlyPastoralN2
    Dinka
    Mota
    Natufian
    
    right pops:
    Khomani_San
    Chukchi
    Han
    Abkhasian
    Iranian
    Sardinian
    Luo
    Estonian
    Australian
    Iberomaurusian
    
      0 Kenya_EarlyPastoralN2    1
      1                Dinka    1
      2                 Mota    1
      3             Natufian    6
      4          Khomani_San    2
      5              Chukchi    1
      6                  Han    4
      7            Abkhasian    2
      8              Iranian    2
      9            Sardinian    4
     10                  Luo    2
     11             Estonian    2
     12           Australian    2
     13       Iberomaurusian    3
    jackknife block size:     0.050
    snps: 1135520  indivs: 33
    number of blocks for block jackknife: 714
    ## ncols: 1135520
    coverage: Kenya_EarlyPastoralN2 495701
    coverage:                Dinka 1135118
    coverage:                 Mota 1134612
    coverage:             Natufian 529354
    coverage:          Khomani_San 1106964
    coverage:              Chukchi 1105918
    coverage:                  Han 1135400
    coverage:            Abkhasian 1107067
    coverage:              Iranian 1107130
    coverage:            Sardinian 1135401
    coverage:                  Luo 1107058
    coverage:             Estonian 1107090
    coverage:           Australian 1106706
    coverage:       Iberomaurusian 1069813
    Effective number of blocks:   616.165
    numsnps used: 358299
    codimension 1
    f4info: 
    f4rank: 2 dof:      7 chisq:     5.648 tail:          0.581440463 dofdiff:      9 chisqdiff:    -5.648 taildiff:                    1
    B:
              scale     1.000     1.000 
            Chukchi     1.048    -0.313 
                Han     0.895     0.079 
          Abkhasian     1.158    -0.278 
            Iranian     1.112    -0.582 
          Sardinian     1.237    -0.175 
                Luo     0.069     2.877 
           Estonian     1.179    -0.356 
         Australian     0.868     0.152 
     Iberomaurusian     0.920    -0.141 
    A:
              scale    87.811  1724.349 
              Dinka    -0.971     1.375 
               Mota    -1.158    -1.047 
           Natufian     0.845     0.108 
    
    
    full rank
    f4info: 
    f4rank: 3 dof:      0 chisq:     0.000 tail:                    1 dofdiff:      7 chisqdiff:     5.648 taildiff:          0.581440463
    B:
              scale    88.765    76.352   102.438 
            Chukchi    -1.038    -1.022     1.088 
                Han    -0.874    -0.902     0.908 
          Abkhasian    -1.161    -1.153     1.152 
            Iranian    -1.124    -1.087     1.117 
          Sardinian    -1.253    -1.259     1.199 
                Luo     0.142    -0.196     0.101 
           Estonian    -1.193    -1.175     1.167 
         Australian    -0.837    -0.878     0.877 
     Iberomaurusian    -0.913    -0.925     0.915 
    A:
              scale     1.732     1.732     1.732 
              Dinka     1.732     0.000     0.000 
               Mota     0.000     1.732     0.000 
           Natufian     0.000     0.000     1.732 
    
    
    best coefficients:     0.164     0.273     0.563 
    Jackknife mean:      0.163782426     0.273392915     0.562824660 
          std. errors:     0.064     0.066     0.014 
    
    error covariance (* 1,000,000)
          4121      -4132         11 
         -4132       4347       -216 
            11       -216        205 
    
    
    summ: Kenya_EarlyPastoralN2    3      0.581440     0.164     0.273     0.563       4121      -4132         11       4347       -216   ...
           205 
    
        fixed pat  wt  dof     chisq       tail prob
              000  0     7     5.648         0.58144     0.164     0.273     0.563 
              001  1     8   183.163               0   -27.849    28.849     0.000  infeasible
              010  1     8    26.025      0.00104006     0.420     0.000     0.580 
              100  1     8    13.965       0.0826871     0.000     0.439     0.561 
              011  2     9  1219.431               0     1.000     0.000     0.000 
              101  2     9  1126.813               0     0.000     1.000     0.000 
              110  2     9   732.193               0     0.000     0.000     1.000 
    best pat:          000          0.58144              -  -
    best pat:          100        0.0826871  chi(nested):     8.317 p-value for nested model:      0.00392719
    best pat:          110     8.26706e-152  chi(nested):   718.228 p-value for nested model:    3.25447e-158
    
    coeffs:     0.164     0.273     0.563 
    
    ## dscore:: f_4(Base, Fit, Rbase, right2)
    ## genstat:: f_4(Base, Fit, right1, right2)
    
    details:                Dinka              Chukchi    -0.011695  -21.471213
    details:                 Mota              Chukchi    -0.013379  -23.686087
    details:             Natufian              Chukchi     0.010620   20.138619
    dscore:              Chukchi f4:     0.000405 Z:     0.879311
    
    details:                Dinka                  Han    -0.009848  -20.554844
    details:                 Mota                  Han    -0.011810  -23.793784
    details:             Natufian                  Han     0.008865   19.008466
    dscore:                  Han f4:     0.000149 Z:     0.360813
    
    details:                Dinka            Abkhasian    -0.013079  -24.799468
    details:                 Mota            Abkhasian    -0.015098  -28.084816
    details:             Natufian            Abkhasian     0.011242   22.192984
    dscore:            Abkhasian f4:     0.000059 Z:     0.131844
    
    details:                Dinka              Iranian    -0.012661  -23.763407
    details:                 Mota              Iranian    -0.014239  -27.611374
    details:             Natufian              Iranian     0.010909   22.466003
    dscore:              Iranian f4:     0.000175 Z:     0.397817
    
    details:                Dinka            Sardinian    -0.014121  -26.339607
    details:                 Mota            Sardinian    -0.016490  -30.855983
    details:             Natufian            Sardinian     0.011702   23.509050
    dscore:            Sardinian f4:    -0.000233 Z:    -0.515981
    
    details:                Dinka                  Luo     0.001598    4.481091
    details:                 Mota                  Luo    -0.002569   -7.088715
    details:             Natufian                  Luo     0.000981    2.997121
    dscore:                  Luo f4:     0.000112 Z:     0.394016
    
    details:                Dinka             Estonian    -0.013435  -25.187222
    details:                 Mota             Estonian    -0.015392  -28.743309
    details:             Natufian             Estonian     0.011397   22.141313
    dscore:             Estonian f4:     0.000007 Z:     0.016159
    
    details:                Dinka           Australian    -0.009426  -18.581395
    details:                 Mota           Australian    -0.011505  -22.585127
    details:             Natufian           Australian     0.008560   17.002049
    dscore:           Australian f4:     0.000130 Z:     0.300388
    
    details:                Dinka       Iberomaurusian    -0.010288  -20.175505
    details:                 Mota       Iberomaurusian    -0.012118  -23.285897
    details:             Natufian       Iberomaurusian     0.008936   18.450243
    dscore:       Iberomaurusian f4:     0.000033 Z:     0.077744
    
    gendstat:          Khomani_San              Chukchi     0.879
    gendstat:          Khomani_San                  Han     0.361
    gendstat:          Khomani_San            Abkhasian     0.132
    gendstat:          Khomani_San              Iranian     0.398
    gendstat:          Khomani_San            Sardinian    -0.516
    gendstat:          Khomani_San                  Luo     0.394
    gendstat:          Khomani_San             Estonian     0.016
    gendstat:          Khomani_San           Australian     0.300
    gendstat:          Khomani_San       Iberomaurusian     0.078
    gendstat:              Chukchi                  Han    -0.817
    gendstat:              Chukchi            Abkhasian    -1.010
    gendstat:              Chukchi              Iranian    -0.697
    gendstat:              Chukchi            Sardinian    -1.963
    gendstat:              Chukchi                  Luo    -0.672
    gendstat:              Chukchi             Estonian    -1.145
    gendstat:              Chukchi           Australian    -0.764
    gendstat:              Chukchi       Iberomaurusian    -0.910
    gendstat:                  Han            Abkhasian    -0.288
    gendstat:                  Han              Iranian     0.088
    gendstat:                  Han            Sardinian    -1.331
    gendstat:                  Han                  Luo    -0.098
    gendstat:                  Han             Estonian    -0.465
    gendstat:                  Han           Australian    -0.064
    gendstat:                  Han       Iberomaurusian    -0.326
    gendstat:            Abkhasian              Iranian     0.433
    gendstat:            Abkhasian            Sardinian    -1.125
    gendstat:            Abkhasian                  Luo     0.132
    gendstat:            Abkhasian             Estonian    -0.176
    gendstat:            Abkhasian           Australian     0.210
    gendstat:            Abkhasian       Iberomaurusian    -0.071
    gendstat:              Iranian            Sardinian    -1.615
    gendstat:              Iranian                  Luo    -0.162
    gendstat:              Iranian             Estonian    -0.589
    gendstat:              Iranian           Australian    -0.136
    gendstat:              Iranian       Iberomaurusian    -0.389
    gendstat:            Sardinian                  Luo     0.832
    gendstat:            Sardinian             Estonian     0.923
    gendstat:            Sardinian           Australian     1.134
    gendstat:            Sardinian       Iberomaurusian     0.730
    gendstat:                  Luo             Estonian    -0.246
    gendstat:                  Luo           Australian     0.044
    gendstat:                  Luo       Iberomaurusian    -0.206
    gendstat:             Estonian           Australian     0.347
    gendstat:             Estonian       Iberomaurusian     0.065
    gendstat:           Australian       Iberomaurusian    -0.258
    
    ##end of qpAdm:      115.304 seconds cpu     1247.232 Mbytes in use
    Last edited by Mnemonics; 12-04-2020 at 05:39 AM.

  19. The Following 2 Users Say Thank You to Mnemonics For This Useful Post:

     drobbah (12-04-2020),  pegasus (12-04-2020)

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