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Thread: Global25 automated nMonte for South/Central Asian members

  1. #5501
    Gold Class Member
    Posts
    3,978
    Location
    Gonur Tepe

    Afghanistan Jammu and Kashmir United States of America Canada
    Quote Originally Posted by agent_lime View Post
    I tried to do an elemental run. So skipping the BMAC. The AASI's are all used to pick what works best. Gradient Descent.

    [1] "distance%=2.6194"

    agentlime

    IRN_Tepe_Hissar_C,63.2
    RUS_Sidelkino_HG,12.8
    S_AASI_Sim_Hakkipikki,8.8
    Simulated_AASI_NW_by_DMXX_NW_SiSBA2,8.4
    Iberomaurusian,1.6
    WHG,1.6
    Han,1.2
    Simulated_AASI_NW_by_DMXX_NW_SGPT,1.2
    Bolivian_Cochabamba,0.8
    RUS_West_Siberia_N,0.4

    [1] "distance%=1.7134"

    Ror

    IRN_Tepe_Hissar_C,38.8
    RUS_Sidelkino_HG,21.6
    Anatolia_Barcin_N,12.4
    Simulated_AASI_NW_by_DMXX_NW_SGPT,11.6
    RUS_West_Siberia_N,8
    Simulated_AASI_NW_by_DMXX_NW_SiSBA3,6
    Simulated_AASI_NW_by_DMXX_NW_SiSBA2,1.6

    [1] "distance%=2.5271"

    Sapporo

    IRN_Tepe_Hissar_C,52.4
    RUS_Sidelkino_HG,11.2
    RUS_West_Siberia_N,10
    Simulated_AASI_NW_by_DMXX_NW_SiSBA3,8.4
    Simulated_AASI_NW_by_DMXX_NW_SGPT,6.4
    Anatolia_Barcin_N,4
    S_AASI_Sim_Hakkipikki,3.6
    Simulated_AASI_NW_by_DMXX_NW_SiSBA2,2.4
    WHG,1.2
    Levant_Canaanite_MBA,0.4

    [1] "distance%=1.837"

    poi

    IRN_Tepe_Hissar_C,25.6
    Simulated_AASI_NW_by_DMXX_NW_SGPT,15.6
    Anatolia_Barcin_N,14.8
    RUS_West_Siberia_N,13.6
    RUS_Sidelkino_HG,12.4
    S_AASI_Sim_Mala,11.6
    Han,4.4
    Simulated_AASI_NW_by_DMXX_NW_SiSBA3,2

    [1] "distance%=1.8991"

    Punjabi_Ramgarhia

    IRN_Tepe_Hissar_C,46.8
    RUS_Sidelkino_HG,14.8
    S_AASI_Sim_Hakkipikki,12
    Simulated_AASI_NW_by_DMXX_NW_SiSBA2,7.2
    Anatolia_Barcin_N,6.8
    Simulated_AASI_NW_by_DMXX_NW_SGPT,6.8
    RUS_West_Siberia_N,4.8
    Han,0.4
    NPL_Chokhopani_2700BP,0.4

    [1] "distance%=1.8431"

    Khana

    IRN_Tepe_Hissar_C,56.8
    RUS_West_Siberia_N,14.4
    Simulated_AASI_NW_by_DMXX_NW_SiSBA3,12.4
    Anatolia_Barcin_N,4
    Simulated_AASI_NW_by_DMXX_NW_SGPT,4
    WHG,3.2
    S_AASI_Sim_Mala,2.8
    Han,2
    S_AASI_Sim_Hakkipikki,0.4

    [1] "distance%=2.0772"

    Reza

    IRN_Tepe_Hissar_C,32.4
    S_AASI_Sim_Hakkipikki,18.8
    RUS_Sidelkino_HG,10
    Han,9.6
    Simulated_AASI_NW_by_DMXX_NW_SGPT,8.8
    Simulated_AASI_NW_by_DMXX_NW_SiSBA3,6.8
    RUS_West_Siberia_N,6
    S_AASI_Sim_Pulliyar,6
    Iberomaurusian,0.8
    S_AASI_Sim_Mala,0.4
    WHG,0.4

    [1] "distance%=2.3934"

    Bmoney

    IRN_Tepe_Hissar_C,48.4
    Simulated_AASI_NW_by_DMXX_NW_SiSBA3,13.6
    S_AASI_Sim_Irula,12.8
    Simulated_AASI_NW_by_DMXX_NW_SGPT,7.6
    RUS_West_Siberia_N,4.4
    Simulated_AASI_NW_by_DMXX_NW_SiSBA2,4
    RUS_Sidelkino_HG,3.6
    WHG,3.2
    Iberomaurusian,2.4
    Tepe Hissar is actually between BMAC and Seh Gabi, so its not elemental and definitely won't be the base ancestry for most SA groups primarily because of elevated ANF, in your case it does because your ratio to ANF to EHG is far higher, even ur own gradient descent showed that as you had excess 8% ANF after Sintashta, most prefer SIS1, Sarazm, Parkhai MBA, the more Steppe shifted groups take in Parkhai MBA Gonur, Jakurtan, Bustan. DMXX's observation was that most South Indians prefer SIS1 or a combo of Sarazm + SIS1, which is true because once I started throwing on more ANF rich Turan groups their fits got worse.

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  3. #5502
    Gold Class Member
    Posts
    2,218
    Sex
    Location
    US/ India
    Ethnicity
    Punjabi Khatri/J&K/Multan
    Nationality
    India
    Y-DNA (P)
    J2b2a
    mtDNA (M)
    U2b

    India United States of America India Punjab Jammu and Kashmir
    Quote Originally Posted by pegasus View Post
    Tepe Hissar is actually between BMAC and Seh Gabi, so its not elemental and definitely won't be the base ancestry for most SA groups primarily because of elevated ANF, in your case it does because your ratio to ANF to EHG is far higher, even ur own gradient descent showed that as you had excess 8% ANF after Sintashta, most prefer SIS1, Sarazm, Parkhai MBA, the more Steppe shifted groups take in Parkhai MBA Gonur, Jakurtan, Bustan. DMXX's observation was that most South Indians prefer SIS1 or a combo of Sarazm + SIS1, which is true because once I started throwing on more ANF rich Turan groups their fits got worse.
    Hmm, seems like I do have a higher ratio of ANF to EHG. Can you help curate my list? Do these look good? What else can I add or take out? Should I take out Sintashta for Sidelkino_HG? I am getting elevated MA1.


    Default Pen=0.001
    [1] "distance%=4.0913"

    agentlime

    IRN_Ganj_Dareh_N,46.4
    RUS_Sintashta_MLBA,13.6
    Simulated_AASI_NW_by_DMXX_Averaged,9.2
    RUS_MA1,8.8
    Anatolia_Barcin_N,7.6
    RUS_West_Siberia_N,6
    S_AASI_Sim_Averaged,4.8
    NPL_Chokhopani_2700BP,1.6
    MAR_Iberomaurusian,1.2
    Han,0.8

    Pen=0

    [1] "distance%=3.1945"

    agentlime

    IRN_Ganj_Dareh_N,43.6
    RUS_Sintashta_MLBA,24
    Simulated_AASI_NW_by_DMXX_Averaged,16
    Anatolia_Barcin_N,4.4
    RUS_MA1,4.4
    RUS_West_Siberia_N,2.8
    Han,2
    MAR_Iberomaurusian,1.6
    S_AASI_Sim_Averaged,1.2

    Code:
    ,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC12,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC22,PC23,PC24,PC25
    S_AASI_Sim_Averaged,-0.007017607,-0.247268894,-0.229976338,0.16563825,-0.035368871,0.064331863,-0.015188881,0.027727614,0.147380455,0.101064071,-0.004664075,-0.004333522,0.003228897,0.026031903,-0.047720864,-0.045200255,0.010093749,0.000906224,0.000245098,0.039040136,0.009429353,0.024010206,-0.003068505,0.015983546,-0.010868946
    RUS_Sintashta_MLBA,0.125433,0.116075,0.0576869,0.0787689,0.0113968,0.0284096,0.0056636,0.0042383,-0.0176231,-0.028034,-0.0025766,0.0013488,-0.0032061,-0.0215196,0.0225975,0.0126579,-0.004885,0.0004476,-0.0002933,-0.0006753,-0.0061142,0.0023618,0.0026497,0.007033,-0.0041074
    Anatolia_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
    Simulated_AASI_NW_by_DMXX_Averaged,0.0580622775,-0.24745847,-0.325699695,0.273535685,-0.1192235925,0.1772843625,0.0055964825,0.0583613875,0.1706171175,0.13535108,-0.00361402,0.035724435,-0.030872625,0.03748403,-0.013375715,-0.1298685625,0.005831905,-0.02091509,-0.0210395975,0.054171475,0.0012073825,0.0099081,0.01941486,0.05655002,-0.064804895
    Han,0.0206952,-0.4507105,-0.0082967,-0.0651579,0.0780846,0.0374475,0.0029055,-0.004804,-0.0150232,-0.0031146,-0.0495875,-0.0070573,0.0072707,-0.0081072,-0.0043305,0.0012535,0.0017542,-0.0008638,-0.0020455,-0.0102206,0.0122397,0.0069582,0.0141063,-0.0012925,-0.0022315
    IRN_Ganj_Dareh_N,0.0455292,0.0660095,-0.1518855,0.0026648,-0.1250232,0.0204982,0.0170972,-0.0017305,-0.0814005,-0.0579968,0.0004465,-0.001611,0.0072845,-0.0087735,0.0294512,0.0567152,-0.005248,0.0084882,0.007259,-0.037018,0.0075492,-0.0286258,-0.010322,-0.0404578,0.0265842
    RUS_MA1,0.078538,-0.025388,0.039598,0.186049,-0.068936,0.04518,-0.048412,-0.056998,-0.019839,-0.069432,0.029879,-0.009591,0.015312,-0.045553,0.014251,0.021082,-0.007693,0,-0.003645,0.000625,-0.027327,0.002844,0.011339,-0.008314,-0.001437
    NPL_Chokhopani_2700BP,0.012521,-0.410274,-0.011691,-0.031331,0.017542,0.011435,0.00658,0.011999,0.010022,0.021139,-0.081194,-0.006444,0.010109,-0.004679,-0.011401,0,0.011213,-0.001267,-0.009302,0.009379,0.004991,0.029306,0.004314,0.003615,0.031734
    WHG,0.124636303669918,0.116278118427329,0.1847891284681,0.189278907118569,0.154644323974403,0.0464352948197812,0.013160595731197,0.0372676778522623,0.0890701311186865,0.0177680207817303,-0.0153457059954894,-0.0158109270759181,0.0159066935596308,-0.00302769879611562,0.0533380781431052,0.0582068310424129,0.00501978585200604,0.0163428287025227,-0.00930165576658264,0.0555891636022705,0.094458313186294,0.0111905729299263,-0.0496072065077243,-0.160866115139267,0.0170044629435922
    MAR_Iberomaurusian,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
    RUS_West_Siberia_N,0.1058555,-0.060424,0.0974855,0.199292,-0.082631,0.045738,-0.0419495,-0.0471905,-0.0334395,-0.09212,0.0194865,-0.0106405,0.0273535,-0.071908,0.0259225,0.01664,-0.01356,-0.0065875,-0.000377,0.0032515,-0.0301345,0.0109435,0.024095,0.0074705,-0.010119

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  5. #5503
    Gold Class Member
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    3,978
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    Gonur Tepe

    Afghanistan Jammu and Kashmir United States of America Canada
    Its fine you just need to take out Sintashta and put Sidelkino or Ukraine Mesolithic , Sintashta eats up Barcin and some CHG/Iran_N, the MA1 is likely proxying the genome which is not Steppe MLBA nor WSHG but that ghost genome living around the Hindu Kush and Pamirs.

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  7. #5504
    Gold Class Member
    Posts
    2,218
    Sex
    Location
    US/ India
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    Punjabi Khatri/J&K/Multan
    Nationality
    India
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    J2b2a
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    U2b

    India United States of America India Punjab Jammu and Kashmir
    Quote Originally Posted by pegasus View Post
    Its fine you just need to take out Sintashta and put Sidelkino or Ukraine Mesolithic , Sintashta eats up Barcin and some CHG/Iran_N, the MA1 is likely proxying the genome which is not Steppe MLBA nor WSHG but that ghost genome living around the Hindu Kush and Pamirs.
    Thanks, that got rid of the MA. It really elevated my Barcin.
    Note: I averaged DMXX's new NW AASI to make the results cleaner. Seems to be working great across the region from NE India to SC Asia and S Iran!

    Almost no Indus group is getting any Southern AASI now.

    Gradient Descent
    pen=0
    [1] "distance%=3.5182"

    agentlime

    IRN_Ganj_Dareh_N,47.6
    Simulated_AASI_NW_by_DMXX_Averaged,16.8
    RUS_Sidelkino_HG,14
    Anatolia_Barcin_N,13.2
    RUS_West_Siberia_N,6
    Han,1.6
    MAR_Iberomaurusian,0.8

    [1] "distance%=3.0025"

    Kalash

    IRN_Ganj_Dareh_N,48.8
    Anatolia_Barcin_N,14
    RUS_Sidelkino_HG,12.8
    RUS_West_Siberia_N,12
    Simulated_AASI_NW_by_DMXX_Averaged,11.6
    Han,0.8

    [1] "distance%=2.1693"

    Punjabi_Jat

    IRN_Ganj_Dareh_N,45.2
    RUS_Sidelkino_HG,20
    Simulated_AASI_NW_by_DMXX_Averaged,17.6
    Anatolia_Barcin_N,12.8
    RUS_West_Siberia_N,2.4
    Han,2

    [1] "distance%=1.6883"

    Khatri

    IRN_Ganj_Dareh_N,46.4
    Simulated_AASI_NW_by_DMXX_Averaged,17.6
    Anatolia_Barcin_N,14
    RUS_Sidelkino_HG,12.8
    RUS_West_Siberia_N,6.4
    NPL_Chokhopani_2700BP,2
    Han,0.8

    [1] "distance%=2.1657"

    Ror

    IRN_Ganj_Dareh_N,38.8
    RUS_Sidelkino_HG,22.4
    Anatolia_Barcin_N,16
    Simulated_AASI_NW_by_DMXX_Averaged,15.6
    RUS_West_Siberia_N,6.4
    NPL_Chokhopani_2700BP,0.8

    [1] "distance%=1.5091"

    Kamboj

    IRN_Ganj_Dareh_N,42.4
    Simulated_AASI_NW_by_DMXX_Averaged,17.6
    Anatolia_Barcin_N,15.6
    RUS_Sidelkino_HG,12
    RUS_West_Siberia_N,6
    S_AASI_Sim_Averaged,3.6
    NPL_Chokhopani_2700BP,2.8

    [1] "distance%=1.7262"

    Pashtun

    IRN_Ganj_Dareh_N,44.8
    Anatolia_Barcin_N,17.6
    RUS_Sidelkino_HG,14
    Simulated_AASI_NW_by_DMXX_Averaged,13.2
    RUS_West_Siberia_N,6.4
    NPL_Chokhopani_2700BP,2.8
    Han,1.2

    [1] "distance%=2.9248"

    Tajik_Ishkashim

    IRN_Ganj_Dareh_N,38.4
    Anatolia_Barcin_N,21.2
    RUS_Sidelkino_HG,15.6
    RUS_West_Siberia_N,14
    Simulated_AASI_NW_by_DMXX_Averaged,6.4
    NPL_Chokhopani_2700BP,2.8
    Han,1.6

    [1] "distance%=2.4097"

    Iranian_Bandari

    IRN_Ganj_Dareh_N,54.4
    Anatolia_Barcin_N,25.6
    RUS_Sidelkino_HG,7.6
    Simulated_AASI_NW_by_DMXX_Averaged,4.8
    MAR_Iberomaurusian,4
    RUS_West_Siberia_N,3.2
    S_AASI_Sim_Averaged,0.4

    Gangetic plain groups-

    [1] "distance%=2.0702"

    Uttar_Pradesh

    IRN_Ganj_Dareh_N,30.8
    S_AASI_Sim_Averaged,28.4
    Simulated_AASI_NW_by_DMXX_Averaged,18.8
    RUS_Sidelkino_HG,10.4
    Anatolia_Barcin_N,6.8
    RUS_West_Siberia_N,3.2
    NPL_Chokhopani_2700BP,1.6

    [1] "distance%=1.1246"

    North_Kannadi

    S_AASI_Sim_Averaged,46
    IRN_Ganj_Dareh_N,28.4
    Simulated_AASI_NW_by_DMXX_Averaged,12
    RUS_Sidelkino_HG,8.8
    Anatolia_Barcin_N,2
    RUS_MA1,1.6
    RUS_West_Siberia_N,1.2

    [1] "distance%=1.2149"

    Irula

    S_AASI_Sim_Averaged,56.4
    IRN_Ganj_Dareh_N,23.2
    Simulated_AASI_NW_by_DMXX_Averaged,7.6
    RUS_MA1,6.4
    Han,2
    Anatolia_Barcin_N,1.6
    WHG,1.6
    MAR_Iberomaurusian,0.8
    RUS_Sidelkino_HG,0.4

    [1] "distance%=2.2777"

    Brahmin_Tamil_Nadu

    IRN_Ganj_Dareh_N,41.6
    Simulated_AASI_NW_by_DMXX_Averaged,18
    S_AASI_Sim_Averaged,16
    RUS_Sidelkino_HG,13.6
    Anatolia_Barcin_N,7.2
    NPL_Chokhopani_2700BP,2.8
    RUS_MA1,0.8

    [1] "distance%=2.0142"

    Brahmin_Manipuri

    NPL_Chokhopani_2700BP,28
    Han,22.8
    S_AASI_Sim_Averaged,16.8
    IRN_Ganj_Dareh_N,15.2
    Simulated_AASI_NW_by_DMXX_Averaged,5.2
    RUS_MA1,4.8
    RUS_Sidelkino_HG,4
    Anatolia_Barcin_N,3.2

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  9. #5505
    Registered Users
    Posts
    260
    Nationality
    Portugal, France & Canada

    Can you run me agent_lime? I'd be interested

  10. #5506
    Gold Class Member
    Posts
    2,218
    Sex
    Location
    US/ India
    Ethnicity
    Punjabi Khatri/J&K/Multan
    Nationality
    India
    Y-DNA (P)
    J2b2a
    mtDNA (M)
    U2b

    India United States of America India Punjab Jammu and Kashmir
    Quote Originally Posted by Lollybolly View Post
    Can you run me agent_lime? I'd be interested
    Here you go bro. You seem to be kinda similar to Pashtuns. I wonder if you have gotten a slight mix from Middle Eastern/ Central Asian ancestry.

    [1] "distance%=3.1305"

    Lollybolly_scaled

    IRN_Ganj_Dareh_N,45.6
    Anatolia_Barcin_N,16
    Simulated_AASI_NW_by_DMXX_Averaged,15.6
    RUS_West_Siberia_N,12.8
    RUS_Sidelkino_HG,6.8
    RUS_MA1,2
    Han,1.2

  11. #5507
    Gold Class Member
    Posts
    3,978
    Location
    Gonur Tepe

    Afghanistan Jammu and Kashmir United States of America Canada
    Quote Originally Posted by agent_lime View Post
    Thanks, that got rid of the MA. It really elevated my Barcin.
    Note: I averaged DMXX's new NW AASI to make the results cleaner. Seems to be working great across the region from NE India to SC Asia and S Iran!

    Almost no Indus group is getting any Southern AASI now.

    Gradient Descent
    pen=0
    [1] "distance%=3.5182"

    agentlime

    IRN_Ganj_Dareh_N,47.6
    Simulated_AASI_NW_by_DMXX_Averaged,16.8
    RUS_Sidelkino_HG,14
    Anatolia_Barcin_N,13.2
    RUS_West_Siberia_N,6
    Han,1.6
    MAR_Iberomaurusian,0.8

    [1] "distance%=3.0025"

    Kalash

    IRN_Ganj_Dareh_N,48.8
    Anatolia_Barcin_N,14
    RUS_Sidelkino_HG,12.8
    RUS_West_Siberia_N,12
    Simulated_AASI_NW_by_DMXX_Averaged,11.6
    Han,0.8

    [1] "distance%=2.1693"

    Punjabi_Jat

    IRN_Ganj_Dareh_N,45.2
    RUS_Sidelkino_HG,20
    Simulated_AASI_NW_by_DMXX_Averaged,17.6
    Anatolia_Barcin_N,12.8
    RUS_West_Siberia_N,2.4
    Han,2

    [1] "distance%=1.6883"

    Khatri

    IRN_Ganj_Dareh_N,46.4
    Simulated_AASI_NW_by_DMXX_Averaged,17.6
    Anatolia_Barcin_N,14
    RUS_Sidelkino_HG,12.8
    RUS_West_Siberia_N,6.4
    NPL_Chokhopani_2700BP,2
    Han,0.8

    [1] "distance%=2.1657"

    Ror

    IRN_Ganj_Dareh_N,38.8
    RUS_Sidelkino_HG,22.4
    Anatolia_Barcin_N,16
    Simulated_AASI_NW_by_DMXX_Averaged,15.6
    RUS_West_Siberia_N,6.4
    NPL_Chokhopani_2700BP,0.8

    [1] "distance%=1.5091"

    Kamboj

    IRN_Ganj_Dareh_N,42.4
    Simulated_AASI_NW_by_DMXX_Averaged,17.6
    Anatolia_Barcin_N,15.6
    RUS_Sidelkino_HG,12
    RUS_West_Siberia_N,6
    S_AASI_Sim_Averaged,3.6
    NPL_Chokhopani_2700BP,2.8

    [1] "distance%=1.7262"

    Pashtun

    IRN_Ganj_Dareh_N,44.8
    Anatolia_Barcin_N,17.6
    RUS_Sidelkino_HG,14
    Simulated_AASI_NW_by_DMXX_Averaged,13.2
    RUS_West_Siberia_N,6.4
    NPL_Chokhopani_2700BP,2.8
    Han,1.2

    [1] "distance%=2.9248"

    Tajik_Ishkashim

    IRN_Ganj_Dareh_N,38.4
    Anatolia_Barcin_N,21.2
    RUS_Sidelkino_HG,15.6
    RUS_West_Siberia_N,14
    Simulated_AASI_NW_by_DMXX_Averaged,6.4
    NPL_Chokhopani_2700BP,2.8
    Han,1.6

    [1] "distance%=2.4097"

    Iranian_Bandari

    IRN_Ganj_Dareh_N,54.4
    Anatolia_Barcin_N,25.6
    RUS_Sidelkino_HG,7.6
    Simulated_AASI_NW_by_DMXX_Averaged,4.8
    MAR_Iberomaurusian,4
    RUS_West_Siberia_N,3.2
    S_AASI_Sim_Averaged,0.4

    Gangetic plain groups-

    [1] "distance%=2.0702"

    Uttar_Pradesh

    IRN_Ganj_Dareh_N,30.8
    S_AASI_Sim_Averaged,28.4
    Simulated_AASI_NW_by_DMXX_Averaged,18.8
    RUS_Sidelkino_HG,10.4
    Anatolia_Barcin_N,6.8
    RUS_West_Siberia_N,3.2
    NPL_Chokhopani_2700BP,1.6

    [1] "distance%=1.1246"

    North_Kannadi

    S_AASI_Sim_Averaged,46
    IRN_Ganj_Dareh_N,28.4
    Simulated_AASI_NW_by_DMXX_Averaged,12
    RUS_Sidelkino_HG,8.8
    Anatolia_Barcin_N,2
    RUS_MA1,1.6
    RUS_West_Siberia_N,1.2

    [1] "distance%=1.2149"

    Irula

    S_AASI_Sim_Averaged,56.4
    IRN_Ganj_Dareh_N,23.2
    Simulated_AASI_NW_by_DMXX_Averaged,7.6
    RUS_MA1,6.4
    Han,2
    Anatolia_Barcin_N,1.6
    WHG,1.6
    MAR_Iberomaurusian,0.8
    RUS_Sidelkino_HG,0.4

    [1] "distance%=2.2777"

    Brahmin_Tamil_Nadu

    IRN_Ganj_Dareh_N,41.6
    Simulated_AASI_NW_by_DMXX_Averaged,18
    S_AASI_Sim_Averaged,16
    RUS_Sidelkino_HG,13.6
    Anatolia_Barcin_N,7.2
    NPL_Chokhopani_2700BP,2.8
    RUS_MA1,0.8

    [1] "distance%=2.0142"

    Brahmin_Manipuri

    NPL_Chokhopani_2700BP,28
    Han,22.8
    S_AASI_Sim_Averaged,16.8
    IRN_Ganj_Dareh_N,15.2
    Simulated_AASI_NW_by_DMXX_Averaged,5.2
    RUS_MA1,4.8
    RUS_Sidelkino_HG,4
    Anatolia_Barcin_N,3.2
    Nice can u post without penalty because that forces excess Siberian into Sidelkino thats why your Sidelkino is higher than Ishkashim which it should not be, the group averages look accurate since makes sense since the are less than 2, below 1 would be ideal.

  12. The Following User Says Thank You to pegasus For This Useful Post:

     Sapporo (07-18-2019)

  13. #5508
    Gold Class Member
    Posts
    2,218
    Sex
    Location
    US/ India
    Ethnicity
    Punjabi Khatri/J&K/Multan
    Nationality
    India
    Y-DNA (P)
    J2b2a
    mtDNA (M)
    U2b

    India United States of America India Punjab Jammu and Kashmir
    Quote Originally Posted by pegasus View Post
    Nice can u post without penalty because that forces excess Siberian into Sidelkino thats why your Sidelkino is higher than Ishkashim which it should not be, the group averages look accurate since makes sense since the are less than 2, below 1 would be ideal.
    Sorry, didn't get what you mean. All these are with batch_def=250, cycles_def = 500, pen_def= 0.000. I personally have a very noisy sample. If you look at me vs the Khatris I am right in line with them. Or do you want default penalty = 0.001?

    I prefer Parkhai_MBA, Ak_Moustafa_MLBA1, Wezmeh_Cave_N, and Bolivian_Cochabamba. I know that doesn't make for an elemental run so I pulled them out.

    [1] "distance%=1.8515"

    agentlime

    Parkhai_MBA,34.4
    Ak_Moustafa_MLBA1,20.4
    IRN_Ganj_Dareh_N,10.8
    Simulated_AASI_NW_by_DMXX_Averaged,10.8
    S_AASI_Sim_Averaged,8.4
    RUS_West_Siberia_N,5.6
    Wezmeh_Cave_N,4.8
    MAR_Iberomaurusian,2
    Bolivian_Cochabamba,1.2
    WHG,1.2
    NPL_Chokhopani_2700BP,0.4

    Edit: Lollybolly's coordinates behave pretty similar to mine.

    [1] "distance%=1.8108"

    Lollybolly_scaled

    Parkhai_MBA,40.8
    Ak_Moustafa_MLBA1,16.8
    S_AASI_Sim_Averaged,11.2
    Wezmeh_Cave_N,8.8
    RUS_MA1,7.6
    Simulated_AASI_NW_by_DMXX_Averaged,7.2
    RUS_West_Siberia_N,4.8
    MAR_Iberomaurusian,1.2
    Anatolia_Barcin_N,0.8
    NPL_Chokhopani_2700BP,0.8
    Last edited by agent_lime; 07-18-2019 at 12:42 PM.

  14. #5509
    Gold Class Member
    Posts
    3,978
    Location
    Gonur Tepe

    Afghanistan Jammu and Kashmir United States of America Canada
    Quote Originally Posted by agent_lime View Post
    Sorry, didn't get what you mean. All these are with batch_def=250, cycles_def = 500, pen_def= 0.000. I personally have a very noisy sample. If you look at me vs the Khatris I am right in line with them. Or do you want default penalty = 0.001?

    I prefer Parkhai_MBA, Ak_Moustafa_MLBA1, Wezmeh_Cave_N, and Bolivian_Cochabamba. I know that doesn't make for an elemental run so I pulled them out.

    [1] "distance%=1.8515"

    agentlime

    Parkhai_MBA,34.4
    Ak_Moustafa_MLBA1,20.4
    IRN_Ganj_Dareh_N,10.8
    Simulated_AASI_NW_by_DMXX_Averaged,10.8
    S_AASI_Sim_Averaged,8.4
    RUS_West_Siberia_N,5.6
    Wezmeh_Cave_N,4.8
    MAR_Iberomaurusian,2
    Bolivian_Cochabamba,1.2
    WHG,1.2
    NPL_Chokhopani_2700BP,0.4

    Edit: Lollybolly's coordinates behave pretty similar to mine.

    [1] "distance%=1.8108"

    Lollybolly_scaled

    Parkhai_MBA,40.8
    Ak_Moustafa_MLBA1,16.8
    S_AASI_Sim_Averaged,11.2
    Wezmeh_Cave_N,8.8
    RUS_MA1,7.6
    Simulated_AASI_NW_by_DMXX_Averaged,7.2
    RUS_West_Siberia_N,4.8
    MAR_Iberomaurusian,1.2
    Anatolia_Barcin_N,0.8
    NPL_Chokhopani_2700BP,0.8
    default penalty not pen =0

  15. #5510
    Gold Class Member
    Posts
    3,978
    Location
    Gonur Tepe

    Afghanistan Jammu and Kashmir United States of America Canada
    Quote Originally Posted by agent_lime View Post
    Sorry, didn't get what you mean. All these are with batch_def=250, cycles_def = 500, pen_def= 0.000. I personally have a very noisy sample. If you look at me vs the Khatris I am right in line with them. Or do you want default penalty = 0.001?

    I prefer Parkhai_MBA, Ak_Moustafa_MLBA1, Wezmeh_Cave_N, and Bolivian_Cochabamba. I know that doesn't make for an elemental run so I pulled them out.

    [1] "distance%=1.8515"

    agentlime

    Parkhai_MBA,34.4
    Ak_Moustafa_MLBA1,20.4
    IRN_Ganj_Dareh_N,10.8
    Simulated_AASI_NW_by_DMXX_Averaged,10.8
    S_AASI_Sim_Averaged,8.4
    RUS_West_Siberia_N,5.6
    Wezmeh_Cave_N,4.8
    MAR_Iberomaurusian,2
    Bolivian_Cochabamba,1.2
    WHG,1.2
    NPL_Chokhopani_2700BP,0.4

    Edit: Lollybolly's coordinates behave pretty similar to mine.

    [1] "distance%=1.8108"

    Lollybolly_scaled

    Parkhai_MBA,40.8
    Ak_Moustafa_MLBA1,16.8
    S_AASI_Sim_Averaged,11.2
    Wezmeh_Cave_N,8.8
    RUS_MA1,7.6
    Simulated_AASI_NW_by_DMXX_Averaged,7.2
    RUS_West_Siberia_N,4.8
    MAR_Iberomaurusian,1.2
    Anatolia_Barcin_N,0.8
    NPL_Chokhopani_2700BP,0.8
    When your using gradient descent with BA groups I find its best to use actual populations , the best one was what Randwulf had for you which below 1 and matches up with Nmonte. Though using my list of outgroups it worked best

    distance%: 0.99

    Saidu_Sharif_IA_o 37.4
    Tepe_Hissar_ChL 27.99
    Sarazm_Eneolithic 11.58
    Sintashta_MLBA 9.1
    Krasnoyarsk_MLBA 8.1
    Dali_MLBA 3.13
    Iberomaurusian 2.15
    Shahr_I_Sokhta_BA2 0.53
    Gonur1_BA 0.01

    Your the only sample I have seen which prefers Tepe Hissar, and even on G25 this combo works better but my guess is it proxies for some BMAC ancestry which is not present in the current samples.
    Last edited by pegasus; 07-18-2019 at 01:06 PM.

  16. The Following 2 Users Say Thank You to pegasus For This Useful Post:

     agent_lime (07-18-2019),  Sapporo (07-18-2019)

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