Post your closest ancient population from the G25 nMonte Runner

[Coastal Elite]

Post your single closest fit for an ancient population from the G25 nMonte Runner - http://185.144.156.77:3000/

My closest is Bell Beaker Bavaria at a 1.7995 fit

"sample": "Custom: DacoCeltic_scaled",
"fit": 1.7995,
"Bell_Beaker_Bavaria": 100

[Dick]

is there an easy way to do it instead of going through all of them

[Coastal Elite]

is there an easy way to do it instead of going through all of them

I just did a sampling of populations I thought I could be reasonably close to. It's my best guess without going through them all. If you use this version of nMonte you can check yourself against 10 or so population all at once: http://185.144.156.77:3000/?passcode=level2p0938

[Dick]

I just did a sampling of populations I thought I could be reasonably close to. It's my best guess without going through them all. If you use this version of nMonte you can check yourself against 10 or so population all at once: http://185.144.156.77:3000/?passcode=level2p0938

Gotcha. I just used regular R program will all updated ancient samples



"1. CLOSEST SINGLE ITEM DISTANCE%"
Scythian_HUN DEU_MA_ACD
0.3842554 0.4025673
HUN_MA BGR_Varna_En3
0.4413373 0.4437283
HUN_MA_Szolad Scythian_UKR
0.4692019 0.4914398
Iberia_Northeast_c.6CE_PL Bell_Beaker_HUN_EBA
0.4938503 0.4941633
ITA_Collegno_MA CZE_Early_Slav
0.5206024 0.5484033
Scythian_MDA Bell_Beaker_Bavaria
0.5551244 0.5848841
HUN_LBA Levant_LBN_MA_Euro
0.5869962 0.5935922
Bell_Beaker_CZE Bell_Beaker_CHE
0.5998941 0.6025211
HUN_MA_Szolad_o2 DEU_Alberstedt_LN
0.6061649 0.6303287
SVK_Poprad_MA CZE_Hallstatt_Bylany
0.6364461 0.6437610
Bell_Beaker_POL Iberia_Northeast_c.6-8CE_ES
0.6455530 0.6462095
DEU_MA Yamnaya_BGR
0.6479693 0.6527212
HUN_Avar_Szolad RUS_Sunghir_MA
0.6564863 0.6689830
HRV_MBA Bell_Beaker_FRA_C
0.6704497 0.6884231
HRV_Early_IA DEU_Roman
0.6885392 0.6963024
CZE_Unetice_EBA Iberia_Northeast_c.8-12CE
0.6971740 0.7008471
Bell_Beaker_Mittelelbe-Saale England_IA
0.7012928 0.7024133
USA_colonial_period England_Roman
0.7057444 0.7177379
Iberia_Northeast_Empuries1 DEU_Halberstadt_LBA
0.7248958 0.7250710
SWE_IA HRV_Starcevo_N_o
0.7271882 0.7306113
Nordic_BA SWE_Viking_Age_Sigtuna
0.7398034 0.7493538
HUN_BA POL_Unetice_EBA
0.7540655 0.7551265
HUN_Prescythian_IA DEU_Unetice_EBA
0.7578585 0.7603748
England_Saxon Scotland_LBA
0.7763672 0.7828692
Nordic_LN England_MBA
0.7868758 0.7900851
Wales_CA_EBA Scotland_MBA
0.7917272 0.7951539
Iberia_Central_CA_Stp England_CA_EBA
0.7954389 0.7961680
TZA_Zanzibar_First_Millenium Scythian_MDA_o2
0.7978918 0.8046253
Scotland_CA_EBA England_LBA
0.8050352 0.8065119
Bell_Beaker_FRA Iberia_North_IA
0.8200875 0.8206670
CZE_EBA IRL_BA
0.8230285 0.8261753
SWE_Battle-Axe Iberia_Northeast_RomP
0.8298693 0.8318637
Levant_LBN_MA_Mixed Nordic_MN_B
0.8345489 0.8429073
England_EMBA Bell_Beaker_England
0.8469063 0.8497583
HUN_Mako_EBA POL_Chopice_Wesele_Culture
0.8616732 0.8653407
KAZ_Golden_Horde_Euro DEU_BenzigerodeHeimburg_LN
0.8679102 0.8707407
NLD_BA Bell_Beaker_NLD
0.8796458 0.8913556
Corded_Ware_Proto-Unetice_POL Bell_Beaker_Scotland
0.9038933 0.9087757
Iberia_East_IA BGR_EBA
0.9179589 0.9257755
Bell_Beaker_Rhine-Main Iberia_Southeast_c.10-16CE
0.9408497 0.9429589
Anatolia_IA_low_res KAZ_Maitan_MLBA_Alakul
0.9432173 0.9432428
Iberia_Northwest_CA_Stp UKR_Sredny_Stog_II_En
0.9506069 0.9527639
KAZ_Ak_Moustafa_MLBA1 KAZ_Kairan_MLBA
0.9531224 0.9542329
Bell_Beaker_HUN Corded_Ware_POL
0.9641000 0.9666149
Bell_Beaker_England_EBA Ostrogothic_Crimea_ACD
0.9755174 0.9856279
RUS_Sintashta_MLBA POL_EBA
0.9868954 0.9892986
BGR_IA RUS_Petrovka_MLBA
0.9953081 1.0023307
KAZ_Aktogai_MLBA Iberia_Southeast_c.5-8CE
1.0085997 1.0122154
Corded_Ware_CZE Corded_Ware_Baltic
1.0127276 1.0161115
KAZ_Lisakovskiy_MLBA_Alakul RUS_Poltavka_o
1.0188355 1.0216316



"distance%=1.073"



KAZ_Golden_Horde_Euro,28.2
HUN_MA_Szolad_o1,16
Anatolia_Kaman-Kalehoyuk_MLBA_low_res,10.6
USA_colonial_period,8.6
Baltic_LVA_BA,7.6
MKD_N,5.2
UKR_Trypillia,5.2
Baltic_LTU_Late_Antiquity_low_res,4.4
KAZ_Oy_Dzhaylau_MLBA_o2,3.2
HUN_MA,2.6
Anatolia_N_Kumtepe_low_res,1.6
RUS_Kubano-Tersk,1.6
TKM_Parkhai_MBA,1.6
Anatolia_Isparta_EBA,1.2
DEU_MA_o,0.6
RUS_Karasuk_o,0.6
Baltic_EST_BA,0.4
HUN_Prescythian_IA,0.4
Kura-Araxes_ARM_Talin,0.2
RUS_Poltavka,0.2

[Coastal Elite]

Gotcha. I just used regular R program will all updated ancient samples



"1. CLOSEST SINGLE ITEM DISTANCE%"
Scythian_HUN DEU_MA_ACD
0.3842554 0.4025673
HUN_MA BGR_Varna_En3
0.4413373 0.4437283
HUN_MA_Szolad Scythian_UKR
0.4692019 0.4914398
Iberia_Northeast_c.6CE_PL Bell_Beaker_HUN_EBA
0.4938503 0.4941633
ITA_Collegno_MA CZE_Early_Slav
0.5206024 0.5484033
Scythian_MDA Bell_Beaker_Bavaria
0.5551244 0.5848841
HUN_LBA Levant_LBN_MA_Euro
0.5869962 0.5935922
Bell_Beaker_CZE Bell_Beaker_CHE
0.5998941 0.6025211
HUN_MA_Szolad_o2 DEU_Alberstedt_LN
0.6061649 0.6303287
SVK_Poprad_MA CZE_Hallstatt_Bylany
0.6364461 0.6437610
Bell_Beaker_POL Iberia_Northeast_c.6-8CE_ES
0.6455530 0.6462095
DEU_MA Yamnaya_BGR
0.6479693 0.6527212
HUN_Avar_Szolad RUS_Sunghir_MA
0.6564863 0.6689830
HRV_MBA Bell_Beaker_FRA_C
0.6704497 0.6884231
HRV_Early_IA DEU_Roman
0.6885392 0.6963024
CZE_Unetice_EBA Iberia_Northeast_c.8-12CE
0.6971740 0.7008471
Bell_Beaker_Mittelelbe-Saale England_IA
0.7012928 0.7024133
USA_colonial_period England_Roman
0.7057444 0.7177379
Iberia_Northeast_Empuries1 DEU_Halberstadt_LBA
0.7248958 0.7250710
SWE_IA HRV_Starcevo_N_o
0.7271882 0.7306113
Nordic_BA SWE_Viking_Age_Sigtuna
0.7398034 0.7493538
HUN_BA POL_Unetice_EBA
0.7540655 0.7551265
HUN_Prescythian_IA DEU_Unetice_EBA
0.7578585 0.7603748
England_Saxon Scotland_LBA
0.7763672 0.7828692
Nordic_LN England_MBA
0.7868758 0.7900851
Wales_CA_EBA Scotland_MBA
0.7917272 0.7951539
Iberia_Central_CA_Stp England_CA_EBA
0.7954389 0.7961680
TZA_Zanzibar_First_Millenium Scythian_MDA_o2
0.7978918 0.8046253
Scotland_CA_EBA England_LBA
0.8050352 0.8065119
Bell_Beaker_FRA Iberia_North_IA
0.8200875 0.8206670
CZE_EBA IRL_BA
0.8230285 0.8261753
SWE_Battle-Axe Iberia_Northeast_RomP
0.8298693 0.8318637
Levant_LBN_MA_Mixed Nordic_MN_B
0.8345489 0.8429073
England_EMBA Bell_Beaker_England
0.8469063 0.8497583
HUN_Mako_EBA POL_Chopice_Wesele_Culture
0.8616732 0.8653407
KAZ_Golden_Horde_Euro DEU_BenzigerodeHeimburg_LN
0.8679102 0.8707407
NLD_BA Bell_Beaker_NLD
0.8796458 0.8913556
Corded_Ware_Proto-Unetice_POL Bell_Beaker_Scotland
0.9038933 0.9087757
Iberia_East_IA BGR_EBA
0.9179589 0.9257755
Bell_Beaker_Rhine-Main Iberia_Southeast_c.10-16CE
0.9408497 0.9429589
Anatolia_IA_low_res KAZ_Maitan_MLBA_Alakul
0.9432173 0.9432428
Iberia_Northwest_CA_Stp UKR_Sredny_Stog_II_En
0.9506069 0.9527639
KAZ_Ak_Moustafa_MLBA1 KAZ_Kairan_MLBA
0.9531224 0.9542329
Bell_Beaker_HUN Corded_Ware_POL
0.9641000 0.9666149
Bell_Beaker_England_EBA Ostrogothic_Crimea_ACD
0.9755174 0.9856279
RUS_Sintashta_MLBA POL_EBA
0.9868954 0.9892986
BGR_IA RUS_Petrovka_MLBA
0.9953081 1.0023307
KAZ_Aktogai_MLBA Iberia_Southeast_c.5-8CE
1.0085997 1.0122154
Corded_Ware_CZE Corded_Ware_Baltic
1.0127276 1.0161115
KAZ_Lisakovskiy_MLBA_Alakul RUS_Poltavka_o
1.0188355 1.0216316



"distance%=1.073"



KAZ_Golden_Horde_Euro,28.2
HUN_MA_Szolad_o1,16
Anatolia_Kaman-Kalehoyuk_MLBA_low_res,10.6
USA_colonial_period,8.6
Baltic_LVA_BA,7.6
MKD_N,5.2
UKR_Trypillia,5.2
Baltic_LTU_Late_Antiquity_low_res,4.4
KAZ_Oy_Dzhaylau_MLBA_o2,3.2
HUN_MA,2.6
Anatolia_N_Kumtepe_low_res,1.6
RUS_Kubano-Tersk,1.6
TKM_Parkhai_MBA,1.6
Anatolia_Isparta_EBA,1.2
DEU_MA_o,0.6
RUS_Karasuk_o,0.6
Baltic_EST_BA,0.4
HUN_Prescythian_IA,0.4
Kura-Araxes_ARM_Talin,0.2
RUS_Poltavka,0.2


Cool. I gotta learn to use the R program. That is probably the best way to do this.

[Dick]

Cool. I gotta learn to use the R program. That is probably the best way to do this.

i can run this for you just give me your scaled

[Coastal Elite]

i can run this for you just give me your scaled

DacoCeltic_scaled,0.133173,0.13405,0.043369,0.0226 1,0.028313,0.01004,0.00235,0.004384,0.002863,0.006 014,-0.00747,0.008243,-0.014123,-0.004542,0.004072,-0.000796,0.001043,-0.00076,0.006913,-0.002876,-0.001123,0.004699,0.005423,0.00976,-0.005628

Thanks

[Dick]

DacoCeltic_scaled,0.133173,0.13405,0.043369,0.0226 1,0.028313,0.01004,0.00235,0.004384,0.002863,0.006 014,-0.00747,0.008243,-0.014123,-0.004542,0.004072,-0.000796,0.001043,-0.00076,0.006913,-0.002876,-0.001123,0.004699,0.005423,0.00976,-0.005628

Thanks


"1. CLOSEST SINGLE ITEM DISTANCE%"
HUN_MA_Szolad ITA_Collegno_MA
0.1952113 0.2453382
Iberia_Northeast_c.6CE_PL Bell_Beaker_HUN_EBA
0.2521727 0.2930541
Levant_LBN_MA_Euro Bell_Beaker_Bavaria
0.3228511 0.3274874
DEU_MA_ACD Bell_Beaker_CZE
0.3479646 0.3715686
Scythian_HUN DEU_Alberstedt_LN
0.3754565 0.3946044
Bell_Beaker_FRA_C Bell_Beaker_CHE
0.4021649 0.4045840
Bell_Beaker_POL SVK_Poprad_MA
0.4195269 0.4264531
England_IA BGR_Varna_En3
0.4270881 0.4293029
HUN_MA Iberia_Northeast_Empuries1
0.4339186 0.4447617
England_Roman DEU_MA
0.4477932 0.4631012
Bell_Beaker_Mittelelbe-Saale Iberia_Northeast_c.6-8CE_ES
0.4672661 0.4766492
USA_colonial_period CZE_Hallstatt_Bylany
0.4924072 0.5029466
DEU_Halberstadt_LBA Scotland_LBA
0.5086350 0.5129398
Scythian_UKR HUN_MA_Szolad_o2
0.5150514 0.5295557
England_Saxon Scotland_MBA
0.5393451 0.5408682
CZE_Unetice_EBA England_MBA
0.5425704 0.5435407
HRV_MBA Scythian_MDA
0.5609258 0.5653629
Iberia_Central_CA_Stp England_CA_EBA
0.5663441 0.5672257
CZE_Early_Slav Iberia_Northeast_c.8-12CE
0.5725410 0.5742393
Scotland_CA_EBA Nordic_BA
0.5752317 0.5760432
DEU_Roman Wales_CA_EBA
0.5771696 0.5816895
England_LBA Yamnaya_BGR
0.5861355 0.5875129
HRV_Early_IA IRL_BA
0.5875933 0.5882470
DEU_Unetice_EBA HUN_LBA
0.5911873 0.5947395
SWE_IA Bell_Beaker_FRA
0.5977118 0.6031121
POL_Unetice_EBA England_EMBA
0.6127333 0.6310070
HRV_Starcevo_N_o Nordic_LN
0.6324135 0.6340562
Bell_Beaker_England Iberia_North_IA
0.6342754 0.6352589
CZE_EBA DEU_BenzigerodeHeimburg_LN
0.6387115 0.6453026
NLD_BA Scythian_MDA_o2
0.6508714 0.6517362
SWE_Viking_Age_Sigtuna Iberia_Northeast_RomP
0.6520920 0.6681181
TZA_Zanzibar_First_Millenium SWE_Battle-Axe
0.6686516 0.6692617
Nordic_MN_B Bell_Beaker_Scotland
0.6808101 0.6822442
Bell_Beaker_NLD POL_Chopice_Wesele_Culture
0.6956752 0.6975371
HUN_Avar_Szolad HUN_Prescythian_IA
0.7331422 0.7414655
HUN_BA Iberia_East_IA
0.7438634 0.7447661
Iberia_Northwest_CA_Stp Bell_Beaker_England_EBA
0.7598384 0.7751186
Bell_Beaker_Rhine-Main CZE_Starounetice_EBA
0.7796868 0.7802652
KAZ_Maitan_MLBA_Alakul Corded_Ware_Proto-Unetice_POL
0.7886235 0.7980164
RUS_Sunghir_MA KAZ_Kairan_MLBA
0.7984934 0.8077709
UKR_Sredny_Stog_II_En RUS_Petrovka_MLBA
0.8101198 0.8210425
KAZ_Ak_Moustafa_MLBA1 Levant_LBN_MA_Mixed
0.8304242 0.8327714
RUS_Sintashta_MLBA FIN_Levanluhta_IA_o
0.8425950 0.8464226
Corded_Ware_POL RUS_Poltavka_o
0.8663181 0.8672730
KAZ_Aktogai_MLBA Iberia_North_BA
0.8687115 0.8794262
Corded_Ware_CZE KAZ_Lisakovskiy_MLBA_Alakul
0.8902570 0.8917058
HUN_Mako_EBA RUS_Srubnaya_MLBA
0.8958636 0.8979126
Corded_Ware_DEU_o KAZ_Solyanka_MLBA
0.9122559 0.9129030
Iberia_Northeast_BA Iberia_Southeast_c.10-16CE
0.9145629 0.9262537
POL_EBA RUS_Krasnoyarsk_MLBA
0.9295112 0.9335778



"distance%=1.0021"

DacoCeltic_scaled

HRV_Early_IA,19.4
Corded_Ware_Baltic_early,13
DEU_Karsdorf_LN,10.8
England_Saxon,10
HUN_Avar_Szolad,9
ROU_N,8.4
USA_colonial_period,7.2
CZE_Starounetice_EBA,6.8
HUN_ALPc_Szakalhat_MN,6.8
Anatolia_Kaman-Kalehoyuk_MLBA_low_res,3
KAZ_Golden_Horde_Euro,2.2
BGR_C,1.8
MKD_N,1
JPN_Jomon,0.4
RUS_Saltovo-Mayaki_low_res,0.2



You get this USA_colonial_period guy too. I feel so Murican now.

[Coastal Elite]

"1. CLOSEST SINGLE ITEM DISTANCE%"
HUN_MA_Szolad ITA_Collegno_MA
0.1952113 0.2453382
Iberia_Northeast_c.6CE_PL Bell_Beaker_HUN_EBA
0.2521727 0.2930541
Levant_LBN_MA_Euro Bell_Beaker_Bavaria
0.3228511 0.3274874
DEU_MA_ACD Bell_Beaker_CZE
0.3479646 0.3715686
Scythian_HUN DEU_Alberstedt_LN
0.3754565 0.3946044
Bell_Beaker_FRA_C Bell_Beaker_CHE
0.4021649 0.4045840
Bell_Beaker_POL SVK_Poprad_MA
0.4195269 0.4264531
England_IA BGR_Varna_En3
0.4270881 0.4293029
HUN_MA Iberia_Northeast_Empuries1
0.4339186 0.4447617
England_Roman DEU_MA
0.4477932 0.4631012
Bell_Beaker_Mittelelbe-Saale Iberia_Northeast_c.6-8CE_ES
0.4672661 0.4766492
USA_colonial_period CZE_Hallstatt_Bylany
0.4924072 0.5029466
DEU_Halberstadt_LBA Scotland_LBA
0.5086350 0.5129398
Scythian_UKR HUN_MA_Szolad_o2
0.5150514 0.5295557
England_Saxon Scotland_MBA
0.5393451 0.5408682
CZE_Unetice_EBA England_MBA
0.5425704 0.5435407
HRV_MBA Scythian_MDA
0.5609258 0.5653629
Iberia_Central_CA_Stp England_CA_EBA
0.5663441 0.5672257
CZE_Early_Slav Iberia_Northeast_c.8-12CE
0.5725410 0.5742393
Scotland_CA_EBA Nordic_BA
0.5752317 0.5760432
DEU_Roman Wales_CA_EBA
0.5771696 0.5816895
England_LBA Yamnaya_BGR
0.5861355 0.5875129
HRV_Early_IA IRL_BA
0.5875933 0.5882470
DEU_Unetice_EBA HUN_LBA
0.5911873 0.5947395
SWE_IA Bell_Beaker_FRA
0.5977118 0.6031121
POL_Unetice_EBA England_EMBA
0.6127333 0.6310070
HRV_Starcevo_N_o Nordic_LN
0.6324135 0.6340562
Bell_Beaker_England Iberia_North_IA
0.6342754 0.6352589
CZE_EBA DEU_BenzigerodeHeimburg_LN
0.6387115 0.6453026
NLD_BA Scythian_MDA_o2
0.6508714 0.6517362
SWE_Viking_Age_Sigtuna Iberia_Northeast_RomP
0.6520920 0.6681181
TZA_Zanzibar_First_Millenium SWE_Battle-Axe
0.6686516 0.6692617
Nordic_MN_B Bell_Beaker_Scotland
0.6808101 0.6822442
Bell_Beaker_NLD POL_Chopice_Wesele_Culture
0.6956752 0.6975371
HUN_Avar_Szolad HUN_Prescythian_IA
0.7331422 0.7414655
HUN_BA Iberia_East_IA
0.7438634 0.7447661
Iberia_Northwest_CA_Stp Bell_Beaker_England_EBA
0.7598384 0.7751186
Bell_Beaker_Rhine-Main CZE_Starounetice_EBA
0.7796868 0.7802652
KAZ_Maitan_MLBA_Alakul Corded_Ware_Proto-Unetice_POL
0.7886235 0.7980164
RUS_Sunghir_MA KAZ_Kairan_MLBA
0.7984934 0.8077709
UKR_Sredny_Stog_II_En RUS_Petrovka_MLBA
0.8101198 0.8210425
KAZ_Ak_Moustafa_MLBA1 Levant_LBN_MA_Mixed
0.8304242 0.8327714
RUS_Sintashta_MLBA FIN_Levanluhta_IA_o
0.8425950 0.8464226
Corded_Ware_POL RUS_Poltavka_o
0.8663181 0.8672730
KAZ_Aktogai_MLBA Iberia_North_BA
0.8687115 0.8794262
Corded_Ware_CZE KAZ_Lisakovskiy_MLBA_Alakul
0.8902570 0.8917058
HUN_Mako_EBA RUS_Srubnaya_MLBA
0.8958636 0.8979126
Corded_Ware_DEU_o KAZ_Solyanka_MLBA
0.9122559 0.9129030
Iberia_Northeast_BA Iberia_Southeast_c.10-16CE
0.9145629 0.9262537
POL_EBA RUS_Krasnoyarsk_MLBA
0.9295112 0.9335778



"distance%=1.0021"

DacoCeltic_scaled

HRV_Early_IA,19.4
Corded_Ware_Baltic_early,13
DEU_Karsdorf_LN,10.8
England_Saxon,10
HUN_Avar_Szolad,9
ROU_N,8.4
USA_colonial_period,7.2
CZE_Starounetice_EBA,6.8
HUN_ALPc_Szakalhat_MN,6.8
Anatolia_Kaman-Kalehoyuk_MLBA_low_res,3
KAZ_Golden_Horde_Euro,2.2
BGR_C,1.8
MKD_N,1
JPN_Jomon,0.4
RUS_Saltovo-Mayaki_low_res,0.2



You get this USA_colonial_period guy too. I feel so Murican now.

Much appreciated. HUN_MA_Szolad is a real improvement. If you have more than 35% USA_colonial_period, you're above the law in the US. You get WASP immunity.

[firemonkey]

Scaled then unscaled.

Custom:AGUser_firemonkey Scotland_LBA_Averaged Averaged 2.008
Custom:AGUser_firemonkey England_Roman_Averaged Averaged 1.281

[Kaspias]

Scythian_MDA, 4.589 fit

[J. Ketch]

From the scaled datasheet

1. England_Roman - 0.1906615
2. Scotland_LBA - 0.2083557
3. DEU_MA - 0.2521238
4. Wales_CA_EBA - 0.2839086
5. England_MBA - 0.2844212
6. England_Saxon - 0.2975949
7. England_EMBA - 0.3135821
8. England_IA - 0.3200425
9. Bell_Beaker_Mittelelbe-Saale - 0.3320007
10. Scotland_MBA - 0.3432581
11. England_CA_EBA - 0.3474647
12. Bell_Beaker_FRA_C - 0.3578501
13. IRL_BA -0.3580068
14. SWE_IA - 0.3610503
15. Bell_Beaker_CZE - 0.3616892
16. Bell_Beaker_Scotland - 0.3692177
17. Bell_Beaker_POL - 0.3785433
18. DEU_Alberstedt_LN - 0.3831237
19. DEU_BenzigerodeHeimburg_LN - 0.3899925
20. CZE_Unetice_EBA - 0.3945101

[ph2ter]

HUN_Avar_Szolad Av1 Ancient; CE:590 2.473

[firemonkey]

Father scaled then unscaled

Custom:AGUser_firemonkey_father ITA_Collegno_MA CL83 Ancient; CE:671 2.505
Custom:AGUser_firemonkey_father England_Roman_Averaged Averaged 1.449

[firemonkey]

Father scaled then unscaled

Custom:AGUser_firemonkey_father ITA_Collegno_MA CL83 Ancient; CE:671 2.505
Custom:AGUser_firemonkey_father England_Roman_Averaged Averaged 1.449

[Adamm]

Could someone check out my closest distance, im at work rn so cant run the R program.

Adamm_scaled,-0.020488,0.139128,-0.004903,-0.075259,0.026774,-0.039045,-0.024441,0.002308,0.065039,0.023873,0.001137,-0.01139,0.025124,-0.01445,0.015201,-0.010607,0.002347,-0.018623,-0.039218,0.005002,-0.007362,-0.034375,0.021938,-0.01446,0.011496

[Thambi]

"fit": 4.2355,
"IRN_Shahr_I_Sokhta_BA3_Averaged": 100

[Thracian]

My closest population is Scythian_MDA for both ancient and modern populations.


[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Scythian_MDA DEU_Medieval_ACD Ostrogothic_Crimea_ACD
3.485447 5.620114 5.703432
Levant_LBN_Med_Mixed HRV_Starcevo_N_o HUN_Med
6.055001 6.463765 6.577854
HRV_MBA ITA_Collegno_Med_o1
7.000881 7.181023

[Adamm]

My closest population is Scythian_MDA for both ancient and modern populations.


[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Scythian_MDA DEU_Medieval_ACD Ostrogothic_Crimea_ACD
3.485447 5.620114 5.703432
Levant_LBN_Med_Mixed HRV_Starcevo_N_o HUN_Med
6.055001 6.463765 6.577854
HRV_MBA ITA_Collegno_Med_o1
7.000881 7.181023


How to run this in R?

[Grace O'Malley]

This is mine using the Saxons.

"sample": "Custom:AGUser_Grace",
"fit": 1.5786,
"England_Saxon": 100,
"closestDistances": [
"England_Saxon:I0159: 1.810072",
"England_Saxon:NO3423: 2.356175",
"England_Saxon:I0157: 2.615760",
"England_Saxon:I0769: 3.000787",
"England_Saxon:I0777: 3.023447",
"England_Saxon:I0774: 3.040359",
"England_Saxon:I0161: 3.076276",
"England_Saxon:I0773: 3.199100"

Could someone run mine using R when they have the chance? Thanks

,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC1 2,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC2 2,PC23,PC24,PC25
Grace_scaled,0.138864,0.136081,0.064488,0.052003, 0.036314,0.017291,0.001645,0.006231,0.004909,-0.00328,-0.009094,0.004646,-0.011298,-0.009771,0.029994,0.005701,-0.007041,-0.004434,0.000377,0.007879,0.007112,0.007296,-0.005793,0.010845,-0.000479

I've done it using Fit Check.

1 England_Saxon I0159 Ancient; CE:703 1.81
4 England_Saxon_Averaged Averaged 1.93
10 England_Roman_Averaged Averaged 2.146
12 Bell_Beaker_Mittelelbe-Saale_Averaged Averaged 2.191
14 HUN_MA_Szolad SZ7 Ancient; CE:505 2.211
17 England_MBA_Averaged Averaged 2.237
25 England_Saxon NO3423 Ancient; CE:780 2.356
29 SWE_Viking_Age_Sigtuna vik_grt035 2.366
32 HUN_MA_Szolad SZ16 Ancient; CE:505 2.384
34 England_IA I0156 Ancient; BCE:45 2.423
42 ITA_Collegno_MA CL84 Ancient; CE:671 2.492
50 ITA_Collegno_MA CL146 Ancient; CE:671 2.532
58 ITA_Collegno_MA CL93 Ancient; CE:671 2.593
60 England_Saxon I0157 Ancient; CE:718 2.616
62 Scotland_MBA I2655 Ancient; BCE:1356 2.654
67 HUN_MA_Szolad SZ12 Ancient; CE:505 2.693
68 England_CA_EBA_Averaged Averaged 2.719
71 Scotland_LBA I2860 Ancient; BCE:892 2.726
84 HUN_MA_Szolad SZ9 Ancient; CE:505 2.785
87 England_MBA I2458 Ancient; BCE:1389 2.795
90 Scotland_MBA_Averaged Averaged 2.798
96 Scotland_LBA I2859 Ancient; BCE:859 2.841
102 HUN_MA_Szolad SZ11 Ancient; CE:505 2.903
107 HUN_MA_Szolad SZ13 Ancient; CE:505 2.921
108 England_MBA I7572 Ancient; BCE:1406 2.922
112 Scotland_MBA I2653 Ancient; BCE:1400 2.936
118 England_Roman 6DT23 Ancient; CE:200 2.964
121 DEU_BenzigerodeHeimburg_LN I0059 Ancient; BCE:2200 2.987
123 England_MBA I7577 Ancient; BCE:1254 3
125 England_Saxon I0769 Ancient; CE:495 3.001
126 ITA_Collegno_MA CL83 Ancient; CE:671 3.006
128 England_MBA I7568 Ancient; BCE:1425 3.019
129 England_Saxon I0777 Ancient; CE:472 3.023
131 IRL_BA_Averaged Averaged 3.031
134 England_Saxon I0774 Ancient; CE:467 3.04
143 England_Saxon I0161 Ancient; CE:785 3.076
149 Bell_Beaker_England I5379 Ancient; BCE:2382 3.096
153 CZE_Unetice_EBA_Averaged Averaged 3.13
155 Wales_CA_EBA I1775 Ancient; BCE:1631 3.131
156 England_MBA I7627 Ancient; BCE:1316 3.14
157 England_Roman 6DT22 Ancient; CE:200 3.145
161 Bell_Beaker_POL_Averaged Averaged 3.167
162 Bell_Beaker_England I3256 Ancient; BCE:2075 3.167
163 England_Roman 6DT21 Ancient; CE:200 3.168
164 Bell_Beaker_NLD I5750 Ancient; BCE:2100 3.168
165 Bell_Beaker_CZE I5514 Ancient; BCE:2250 3.169
168 HUN_MA_Szolad SZ22 Ancient; CE:505 3.183
173 Bell_Beaker_England_Averaged Averaged 3.192
177 England_Saxon I0773 Ancient; CE:460 3.199
181 Bell_Beaker_CZE I4895 Ancient; BCE:2160 3.209
185 England_MBA I7570 Ancient; BCE:1633 3.224
188 Bell_Beaker_CZE_Averaged Averaged 3.233
189 England_CA_EBA I5377 Ancient; BCE:1794 3.242
200 NLD_BA_Averaged Averaged 3.271

[Thracian]

How to run this in R?

Sorry, I saw your coordinates now. I can run for you. I'll post it very soon.

[Thracian]

Could someone check out my closest distance, im at work rn so cant run the R program.

Adamm_scaled,-0.020488,0.139128,-0.004903,-0.075259,0.026774,-0.039045,-0.024441,0.002308,0.065039,0.023873,0.001137,-0.01139,0.025124,-0.01445,0.015201,-0.010607,0.002347,-0.018623,-0.039218,0.005002,-0.007362,-0.034375,0.021938,-0.01446,0.011496

There you go,


[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Iberia_Central_CA_Afr MAR_LN
6.138331 8.792480
EGY_Late_Period England_Roman_Near_Eastern_o
12.028260 12.653745
EGY_Hellenistic Iberia_Southeast_c.5-8CE
12.726769 13.484351
Iberia_Southeast_c.3-4CE Iberia_Southeast_c.10-16CE
13.759161 13.841148

[Lemgrant]

pen=0.001



[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Slavic_Bohemia:RISE569
2.447652
Kazakhstan_Golden_Horde_Euro:DA29
2.507509
Avar_Hungary_Szolad:Av1
2.547096
Avar_Hungary_Szolad:Av2
2.579961
Sunghir_Medieval:Sunghir6
2.636266
Sweden_Viking_Age_Sigtuna:vik_KAL006
2.736293
Sweden_Viking_Age_Sigtuna:vik_urm160
2.755014
Scythian_Ukraine:scy009
2.784152

[1] "2. FULL TABLE nMONTE"
[1] "penalty= 0.001"
[1] "Ncycles= 1000"
PC1 PC2 PC3 PC4 PC5
Lemgrant_unscaled 0.012100 0.0114000 0.0182000 0.0189000 0.0119000
fitted 0.010756 0.0120674 0.0186724 0.0196456 0.0122974
dif -0.001344 0.0006674 0.0004724 0.0007456 0.0003974
PC6 PC7 PC8 PC9 PC10
Lemgrant_unscaled 0.008200 0.0038000 0.0037000 0.000600 -0.012400
fitted 0.008024 0.0041864 0.0048378 0.000175 -0.013377
dif -0.000176 0.0003864 0.0011378 -0.000425 -0.000977
PC11 PC12 PC13 PC14
Lemgrant_unscaled -0.0039000 -0.0078000 0.0112000 0.0122000
fitted -0.0023364 -0.0054954 0.0091916 0.0117436
dif 0.0015636 0.0023046 -0.0020084 -0.0004564
PC15 PC16 PC17 PC18
Lemgrant_unscaled -0.0066000 0.0076000 0.015700 0.00e+00
fitted -0.0062328 0.0035174 0.008726 2.04e-05
dif 0.0003672 -0.0040826 -0.006974 2.04e-05
PC19 PC20 PC21 PC22
Lemgrant_unscaled -0.0081000 0.0043000 -0.0029000 -0.0043000
fitted -0.0001578 0.0041704 -0.0005376 -0.0026422
dif 0.0079422 -0.0001296 0.0023624 0.0016578
PC23 PC24 PC25
Lemgrant_unscaled 0.0058000 -0.0009000 -0.000100
fitted 0.0048162 -0.0034476 0.000759
dif -0.0009838 -0.0025476 0.000859
[1] "distance%=1.2762"

Lemgrant_unscaled

Kazakhstan_Golden_Horde_Euro,27.2
Latvia_BA,17.8
Slavic_Bohemia,14
Sweden_Viking_Age_Sigtuna,13.8
Sunghir_Medieval,3.4
Scythian_Hungary,3
Iberia_Northeast_c.6CE_PL,2.2
Krasnoyarsk_MLBA,2
Hungary_Medieval_Szolad,1.8
Avar_Hungary_Szolad,1.2
Oy_Dzhaylau_MLBA,0.8
Germany_Medieval,0.6
Iberia_Southeast_c.5-8CE,0.6
CWC_Poland_o,0.4
England_CA_EBA,0.4
Hallstatt_Bylany,0.4
Hun_Tian_Shan,0.4
Kairan_MLBA,0.4
Sarmatian_Urals,0.4
Scythian_Moldova_o2,0.4
Scythian_Ukraine,0.4
Afanasievo,0.2
Anatolia_EBA_Ovaoren,0.2
Anatolia_IA_low_res,0.2
Anatolia_Ottoman,0.2
Arkotkila_IA,0.2
Baden_LCA,0.2
Balkans_BA,0.2
Balkans_N,0.2
Beaker_Bavaria,0.2
Beaker_Czech,0.2
Beaker_Hungary,0.2
Beaker_Mittelelbe-Saale,0.2
CWC_Czech,0.2
CWC_Poland,0.2
Czech_EBA,0.2
England_IA,0.2
Guanche_Canary_Islands,0.2
Iberia_Northeast_c.8-12CE,0.2
Iberia_Southeast_c.10-16CE,0.2
Italy_Medieval_Collegno,0.2
Kazakh_Mys_MLBA,0.2
Kazakhstan_Kipchak,0.2
Kazakhstan_Turk,0.2
Levant_BA_North,0.2
Levant_BA_South,0.2
Levant_ChL,0.2
Levant_N,0.2
Lisakovskiy_MLBA_Alakul,0.2
Maitan_MLBA_Alakul,0.2
Malawi_Hora_Holocene,0.2
Mongolia_XiongNu,0.2
Morocco_Iberomaurusian,0.2
Morocco_LN,0.2
Peloponnese_N,0.2
Petrovka_MLBA,0.2
Protoboleraz_LCA,0.2
Russia_Alan,0.2
Sintashta_MLBA,0.2
South_Africa_1300BP,0.2
South_Africa_2000BP,0.2
USA_colonial_period,0.2
Yamnaya_Ukraine,0.2




pen=0



[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Slavic_Bohemia:RISE569
2.447652
Kazakhstan_Golden_Horde_Euro:DA29
2.507509
Avar_Hungary_Szolad:Av1
2.547096
Avar_Hungary_Szolad:Av2
2.579961
Sunghir_Medieval:Sunghir6
2.636266
Sweden_Viking_Age_Sigtuna:vik_KAL006
2.736293
Sweden_Viking_Age_Sigtuna:vik_urm160
2.755014
Scythian_Ukraine:scy009
2.784152

[1] "distance%=0.6139"

Lemgrant_unscaled

Latvia_BA,43.4
Kazakhstan_Golden_Horde_Euro,9.8
Iberia_Northeast_c.6CE_PL,7.8
Afanasievo,7.4
Petrovka_MLBA,5
TDLN,4.4
Oy_Dzhaylau_MLBA,4.2
Baden_LCA,4
Morocco_EN,3.8
Nepal_Chokhopani_2700BP,3
Balkans_N,1.4
Kairan_MLBA,1.2
South_Africa_2000BP,1
Hungary_Medieval_Szolad,0.8
Sweden_Viking_Age_Sigtuna,0.8
Barcin_N,0.6
Levant_BA_South,0.6
USA_colonial_period,0.4
Beaker_Mittelelbe-Saale,0.2
LBK_N,0.2

[Dick]

This is mine using the Saxons.

"sample": "Custom:AGUser_Grace",
"fit": 1.5786,
"England_Saxon": 100,
"closestDistances": [
"England_Saxon:I0159: 1.810072",
"England_Saxon:NO3423: 2.356175",
"England_Saxon:I0157: 2.615760",
"England_Saxon:I0769: 3.000787",
"England_Saxon:I0777: 3.023447",
"England_Saxon:I0774: 3.040359",
"England_Saxon:I0161: 3.076276",
"England_Saxon:I0773: 3.199100"

Could someone run mine using R when they have the chance? Thanks

,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC1 2,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC2 2,PC23,PC24,PC25
Grace_scaled,0.138864,0.136081,0.064488,0.052003, 0.036314,0.017291,0.001645,0.006231,0.004909,-0.00328,-0.009094,0.004646,-0.011298,-0.009771,0.029994,0.005701,-0.007041,-0.004434,0.000377,0.007879,0.007112,0.007296,-0.005793,0.010845,-0.000479


"1. CLOSEST SINGLE ITEM DISTANCE%"
England_Saxon England_Roman
0.1930445 0.2146413
Bell_Beaker_Mittelelbe-Saale England_MBA
0.2191448 0.2236680
Scotland_LBA England_IA
0.2361793 0.2552519
England_CA_EBA Scotland_MBA
0.2718937 0.2798248
IRL_BA DEU_MA
0.3031179 0.3048875
CZE_Unetice_EBA Wales_CA_EBA
0.3130051 0.3130677
Bell_Beaker_POL Bell_Beaker_England
0.3167255 0.3192209
Bell_Beaker_CZE NLD_BA
0.3232782 0.3271274
Scotland_CA_EBA DEU_Halberstadt_LBA
0.3328616 0.3387427
DEU_Unetice_EBA Bell_Beaker_Scotland
0.3395371 0.3509191
Bell_Beaker_Bavaria England_EMBA
0.3563617 0.3579452
Bell_Beaker_FRA DEU_Alberstedt_LN
0.3673792 0.3679372
CZE_EBA Bell_Beaker_FRA_C
0.3698561 0.3702203
Bell_Beaker_NLD DEU_BenzigerodeHeimburg_LN
0.3724182 0.4016474
SWE_Viking_Age_Sigtuna SWE_IA
0.4020295 0.4045569
SVK_Poprad_MA Scythian_MDA_o2
0.4084480 0.4128272
HUN_MA_Szolad ITA_Collegno_MA
0.4181580 0.4265283
England_LBA Bell_Beaker_HUN_EBA
0.4285818 0.4291806
POL_Unetice_EBA Nordic_LN
0.4303721 0.4365644
Bell_Beaker_England_EBA Levant_LBN_MA_Euro
0.4386162 0.4445597
Nordic_BA POL_Chopice_Wesele_Culture
0.4487822 0.4590643
FIN_Levanluhta_IA_o Nordic_MN_B
0.4596523 0.4891145
USA_colonial_period SWE_Battle-Axe
0.4939871 0.5060983
CZE_Starounetice_EBA Iberia_Northeast_c.6CE_PL
0.5088673 0.5093793
CZE_Hallstatt_Bylany Iberia_Northeast_Empuries1
0.5131057 0.5553085
Corded_Ware_POL HUN_MA_Szolad_o2
0.5664890 0.5721666
BGR_Varna_En3 KAZ_Maitan_MLBA_Alakul
0.5729789 0.5823137
Corded_Ware_DEU_o RUS_Poltavka_o
0.5872513 0.5958133
KAZ_Kairan_MLBA KAZ_Ak_Moustafa_MLBA1
0.5961473 0.5978099
Scythian_UKR Iberia_Central_CA_Stp
0.6156430 0.6164288
Bell_Beaker_Rhine-Main CZE_Early_Slav
0.6210836 0.6219364
KAZ_Lisakovskiy_MLBA_Alakul RUS_Petrovka_MLBA
0.6234799 0.6295291
RUS_Sintashta_MLBA Bell_Beaker_CHE
0.6315606 0.6378299
KAZ_Aktogai_MLBA POL_EBA
0.6482280 0.6484920
Scythian_HUN DEU_MA_ACD
0.6526936 0.6543782
RUS_Srubnaya_MLBA HUN_LBA
0.6737866 0.6760580
UKR_Sredny_Stog_II_En Corded_Ware_CZE
0.6766660 0.6770695
HUN_MA Corded_Ware_Proto-Unetice_POL
0.6777922 0.6805942
KAZ_Solyanka_MLBA Iberia_Northeast_c.6-8CE_ES
0.6838191 0.6874556
HUN_Avar_Szolad UKR_Dereivka_I_En2
0.6995265 0.7012734
Corded_Ware_Baltic Yamnaya_BGR
0.7230443 0.7323492
KAZ_Karagash_MLBA RUS_Srubnaya_Alakul_MLBA
0.7330012 0.7334939
Iberia_North_IA RUS_Krasnoyarsk_MLBA
0.7527044 0.7535986
KAZ_Kyzlbulak_MLBA1 Iberia_Northwest_CA_Stp
0.7653935 0.7994555
Corded_Ware_DEU RUS_Sunghir_MA
0.7995695 0.8021053
Iberia_Northeast_RomP BGR_MLBA
0.8074453 0.8232499
UZB_Kashkarchi_BA DEU_Roman
0.8620504 0.8805745
KAZ_Taldysay_MLBA1 HUN_Mako_EBA
0.8809844 0.8826578
KAZ_Oy_Dzhaylau_MLBA HUN_Prescythian_IA
0.8872444 0.8895347
KAZ_Mys_MLBA Iberia_Northeast_c.8-12CE
0.9021868 0.9153014




"distance%=1.5311"

Grace_scaled

England_Saxon,56.8
CZE_Starounetice_EBA,10.8
FIN_Levanluhta_IA_o,7.6
CZE_Hallstatt_Bylany,6.8
Wales_CA_EBA,5.8
England_Roman,4.6
RUS_Saltovo-Mayaki_low_res,2.6
ITA_Collegno_MA,2
Bell_Beaker_Mittelelbe-Saale,1.4
USA_colonial_period,1.4
UKR_Dereivka_I_En2,0.2

[J. Ketch]

This is mine using the Saxons.

"sample": "Custom:AGUser_Grace",
"fit": 1.5786,
"England_Saxon": 100,
"closestDistances": [
"England_Saxon:I0159: 1.810072",
"England_Saxon:NO3423: 2.356175",
"England_Saxon:I0157: 2.615760",
"England_Saxon:I0769: 3.000787",
"England_Saxon:I0777: 3.023447",
"England_Saxon:I0774: 3.040359",
"England_Saxon:I0161: 3.076276",
"England_Saxon:I0773: 3.199100"

Could someone run mine using R when they have the chance? Thanks

,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC1 2,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC2 2,PC23,PC24,PC25
Grace_scaled,0.138864,0.136081,0.064488,0.052003, 0.036314,0.017291,0.001645,0.006231,0.004909,-0.00328,-0.009094,0.004646,-0.011298,-0.009771,0.029994,0.005701,-0.007041,-0.004434,0.000377,0.007879,0.007112,0.007296,-0.005793,0.010845,-0.000479
Scaled datasheet

1. England_Saxon - 0.1930445
2. England_Roman - 0.2146413
3. Bell_Beaker_Mittelelbe-Saale - 0.2191448
4. England_MBA - 0.2236680
5. Scotland_LBA - 0.2361793
6. England_IA - 0.2552519
7. England_CA_EBA - 0.2718937
8. Scotland_MBA - 0.2798248
9. IRL_BA - 0.3031179
10. DEU_MA - 0.3048875
11. CZE_Unetice_EBA - 0.3130051
12. Wales_CA_EBA - 0.3130677
13. Bell_Beaker_POL - 0.3167255
14. Bell_Beaker_England - 0.3192209
15. Bell_Beaker_CZE - 0.3232782
16. NLD_BA - 0.3271274
17. Scotland_CA_EBA - 0.3328616
18. DEU_Halberstadt_LBA - 0.3387427
19. DEU_Unetice_EBA - 0.3395371
20. Bell_Beaker_Scotland - 0.3509191

[Lemgrant]

bigger list


[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Slavic_Bohemia:RISE569
2.447652
Kazakhstan_Golden_Horde_Euro:DA29
2.507509
Avar_Hungary_Szolad:Av1
2.547096
Avar_Hungary_Szolad:Av2
2.579961
Sunghir_Medieval:Sunghir6
2.636266
Sweden_Viking_Age_Sigtuna:vik_KAL006
2.736293
Sweden_Viking_Age_Sigtuna:vik_urm160
2.755014
Scythian_Ukraine:scy009
2.784152
Scythian_Hungary:DA197
3.097370
Beaker_Bavaria:I5531
3.236958
Sweden_Viking_Age_Sigtuna:vik_grt036
3.260889
Sweden_Viking_Age_Sigtuna:vik_stg020
3.275683
Sweden_Viking_Age_Sigtuna:vik_urm035
3.352850
CWC_Poland:N49
3.389941
Sweden_Viking_Age_Sigtuna:vik_stg026
3.391534
CWC_Poland_o:N47
3.487635
Hungary_BA:I1504
3.573318
Poland_EBA:I6579
3.597305
Varna_o:ANI163
3.599153
Scythian_Hungary:DA194
3.615550

[Rgvgjhvv]

How do I do this again?

[Adamm]

There you go,


[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Iberia_Central_CA_Afr MAR_LN
6.138331 8.792480
EGY_Late_Period England_Roman_Near_Eastern_o
12.028260 12.653745
EGY_Hellenistic Iberia_Southeast_c.5-8CE
12.726769 13.484351
Iberia_Southeast_c.3-4CE Iberia_Southeast_c.10-16CE
13.759161 13.841148


I get a feeling that the Datasheet you're using only consists of European references, am I right?

[Adamm]

There you go,


[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
Iberia_Central_CA_Afr MAR_LN
6.138331 8.792480
EGY_Late_Period England_Roman_Near_Eastern_o
12.028260 12.653745
EGY_Hellenistic Iberia_Southeast_c.5-8CE
12.726769 13.484351
Iberia_Southeast_c.3-4CE Iberia_Southeast_c.10-16CE
13.759161 13.841148


I get a feeling that the Datasheet you're using only consists of European references, am I right?

[Thracian]

I get a feeling that the Datasheet you're using only consists of European references, am I right?

I just used what Davidski shared in his own blog. But, maybe the data that I used could be outdated if he updated his references. I downloaded the datasheet a few months ago.

[Coastal Elite]

bump

[tipirneni]

"distance%=0.9951"

Suresh_T

IRN_Shahr_I_Sokhta_BA3,61
PAK_Swat_Saidu_Sharif_IA_o,19.6666666666667
PAK_Swat_Udegram_IA,8
PAK_Swat_Barikot_IA,3
Iberia_Southeast_MLN,2.66666666666667
PAK_Swat_Katelai_IA,2.33333333333333
NPL_Mebrak_2125BP,2
Iberia_Southeast_Meso,0.666666666666667
LAO_BA,0.666666666666667
https://welcometoiran.com/wp-content/uploads/2017/12/artificial-eye.jpg
http://www.ancientpages.com/wp-content/uploads/2017/05/jiroft1.jpg

[tipirneni]

"distance%=2.6319" high penalty 1.0 on unscaled

Suresh_T

IRN_Shahr_I_Sokhta_BA3,60.6666666666667

Anatolia_Barcin_N,1.66666666666667
DEU_LBK_N,1.66666666666667
Iberia_Southeast_MLN,1.66666666666667
Baltic_EST_MA,1.33333333333333
DEU_MA_ACD,1.33333333333333
PAK_Swat_Saidu_Sharif_IA_o,1.33333333333333
Scotland_N,1.33333333333333
Baltic_LVA_BA,1
IRN_Ganj_Dareh_N,1
RUS_Okunevo_BA,1
RUS_Old_Bering_Ekven,1
RUS_Poltavka,1
TKM_Gonur1_BA,1
UKR_N,1
BGR_Late_C,0.666666666666667
BGR_N,0.666666666666667
Iberia_Northeast_BA,0.666666666666667
IRN_Seh_Gabi_C,0.666666666666667
KAZ_Wusun,0.666666666666667
PAK_Swat_Aligrama_IA,0.666666666666667
PAK_Swat_Katelai_IA,0.666666666666667
PAK_Swat_Saidu_Sharif_IA,0.666666666666667
RUS_Shamanka_N,0.666666666666667
RUS_Ust_Belaya,0.666666666666667
Scotland_LBA,0.666666666666667
TKM_Parkhai_En,0.666666666666667
TKM_Tepe_Anau_En,0.666666666666667
Anatolia_Boncuklu_N,0.333333333333333
Baltic_EST_BA,0.333333333333333
Baltic_EST_IA,0.333333333333333
Baltic_EST_Narva,0.333333333333333
Baltic_LTU_Late_Antiquity_low_res,0.33333333333333 3
Baltic_LTU_Narva,0.333333333333333
Baltic_LVA_HG,0.333333333333333
BGR_C,0.333333333333333
BGR_Middle_C,0.333333333333333
BGR_MP_N,0.333333333333333
CZE_EBA,0.333333333333333
CZE_N,0.333333333333333
CZE_Unetice_EBA,0.333333333333333
DEU_Halberstadt_LBA,0.333333333333333
DEU_MA,0.333333333333333
Iberia_Northeast_c.6CE_PL,0.333333333333333
Iberia_Northeast_c.8-12CE,0.333333333333333
Iberia_Southeast_c.10-16CE,0.333333333333333
IRN_Tepe_Hissar_C,0.333333333333333
KAZ_Aktogai_MLBA,0.333333333333333
KAZ_Botai,0.333333333333333
KAZ_Oy_Dzhaylau_MLBA,0.333333333333333
KAZ_Oy_Dzhaylau_MLBA_o1,0.333333333333333
KAZ_Solyanka_MLBA,0.333333333333333
KAZ_Taldysay_MLBA2,0.333333333333333
KGZ_Nomad_MA,0.333333333333333
LAO_LN_BA,0.333333333333333
PAK_Swat_Barikot_IA,0.333333333333333
PAK_Swat_Loebanr_IA,0.333333333333333
RUS_Progress_En,0.333333333333333
RUS_Sunghir_MA,0.333333333333333
RUS_Tagar,0.333333333333333
RUS_Ust_Ida_EBA,0.333333333333333
RUS_West_Siberia_N_low_res,0.333333333333333
Scotland_MBA,0.333333333333333
TKM_Geoksiur_En,0.333333333333333
TKM_Gonur2_BA,0.333333333333333
TZA_Pemba_600BP,0.333333333333333
UKR_Mesolithic,0.333333333333333
UKR_N_o,0.333333333333333

[Leto]

"distance%=2.6319" high penalty 1.0 on unscaled

Suresh_T

IRN_Shahr_I_Sokhta_BA3,60.6666666666667

Anatolia_Barcin_N,1.66666666666667
DEU_LBK_N,1.66666666666667
Iberia_Southeast_MLN,1.66666666666667
Baltic_EST_MA,1.33333333333333
DEU_MA_ACD,1.33333333333333
PAK_Swat_Saidu_Sharif_IA_o,1.33333333333333
Scotland_N,1.33333333333333
Baltic_LVA_BA,1
IRN_Ganj_Dareh_N,1
RUS_Okunevo_BA,1
RUS_Old_Bering_Ekven,1
RUS_Poltavka,1
TKM_Gonur1_BA,1
UKR_N,1
BGR_Late_C,0.666666666666667
BGR_N,0.666666666666667
Iberia_Northeast_BA,0.666666666666667
IRN_Seh_Gabi_C,0.666666666666667
KAZ_Wusun,0.666666666666667
PAK_Swat_Aligrama_IA,0.666666666666667
PAK_Swat_Katelai_IA,0.666666666666667
PAK_Swat_Saidu_Sharif_IA,0.666666666666667
RUS_Shamanka_N,0.666666666666667
RUS_Ust_Belaya,0.666666666666667
Scotland_LBA,0.666666666666667
TKM_Parkhai_En,0.666666666666667
TKM_Tepe_Anau_En,0.666666666666667
Anatolia_Boncuklu_N,0.333333333333333
Baltic_EST_BA,0.333333333333333
Baltic_EST_IA,0.333333333333333
Baltic_EST_Narva,0.333333333333333
Baltic_LTU_Late_Antiquity_low_res,0.33333333333333 3
Baltic_LTU_Narva,0.333333333333333
Baltic_LVA_HG,0.333333333333333
BGR_C,0.333333333333333
BGR_Middle_C,0.333333333333333
BGR_MP_N,0.333333333333333
CZE_EBA,0.333333333333333
CZE_N,0.333333333333333
CZE_Unetice_EBA,0.333333333333333
DEU_Halberstadt_LBA,0.333333333333333
DEU_MA,0.333333333333333
Iberia_Northeast_c.6CE_PL,0.333333333333333
Iberia_Northeast_c.8-12CE,0.333333333333333
Iberia_Southeast_c.10-16CE,0.333333333333333
IRN_Tepe_Hissar_C,0.333333333333333
KAZ_Aktogai_MLBA,0.333333333333333
KAZ_Botai,0.333333333333333
KAZ_Oy_Dzhaylau_MLBA,0.333333333333333
KAZ_Oy_Dzhaylau_MLBA_o1,0.333333333333333
KAZ_Solyanka_MLBA,0.333333333333333
KAZ_Taldysay_MLBA2,0.333333333333333
KGZ_Nomad_MA,0.333333333333333
LAO_LN_BA,0.333333333333333
PAK_Swat_Barikot_IA,0.333333333333333
PAK_Swat_Loebanr_IA,0.333333333333333
RUS_Progress_En,0.333333333333333
RUS_Sunghir_MA,0.333333333333333
RUS_Tagar,0.333333333333333
RUS_Ust_Ida_EBA,0.333333333333333
RUS_West_Siberia_N_low_res,0.333333333333333
Scotland_MBA,0.333333333333333
TKM_Geoksiur_En,0.333333333333333
TKM_Gonur2_BA,0.333333333333333
TZA_Pemba_600BP,0.333333333333333
UKR_Mesolithic,0.333333333333333
UKR_N_o,0.333333333333333
How much ASI are you according to G25?

[Vid Flumina]

"HRV_MBA:I4332: 3.480643",
"HUN_MA_Szolad:SZ27: 3.545054",
"HUN_MA_Szolad:SZ45: 3.628166",
"ITA_Collegno_MA:CL102: 3.662395",
"HUN_MA_Szolad:SZ18: 4.007547",
"Iberia_Northeast_c.6CE_PL:I12163: 4.015676",
"HRV_MBA:I4331: 4.050055",
"Scythian_HUN: DA195: 4.070479",
"ITA_Collegno_MA:CL94: 4.229017",
"HUN_MA_Szolad:SZ28: 4.286661",
"ITA_Collegno_MA:CL53: 4.384281",
"HUN_MA_Szolad:SZ5: 4.449358",
"HUN_MA_Szolad:SZ3: 4.560847",
"BGR_EBA:I2165: 4.729959",
"Iberia_Northeast_c.6CE_PL:I12031: 4.757478",

[Impaler]

Scythian_MDA, 3.0464 Fit

[tipirneni]

How much ASI are you according to G25?

IRN_Shahr_I_Sokhta_BA3 is IRN_Shahr_I_Sokhta_BA1 mixed with some ASI.

On mdlp k27 I get following

Ancestral-South-Indian 57.01%
Gedrosia-Caucasian 28.49%
Caucasian-Near-Eastern 2.20%
Kalash 2.12%
Australo-Melanesian 1.96%
South-Meso-Amerindian 1.25%
Tibeto-Burman 1.20%
East-Siberian 1.15%
Arabic 1.03%
Central-African-Hunter-Gatherers 0.90%
North-Circumpolar 0.79%
Papuan-Australian 0.75%
Baltic-Finnic 0.61%
Nilotic-Omotic 0.48%
Uralic 0.12%
Ancestral-Yayoi 0.01%
Central-African-Pygmean 0.01%
North-African 0.01%
Congo-Pygmean 0.01%
South-West-European 0.01%
Bantu 0.01%

[Leto]

IRN_Shahr_I_Sokhta_BA3 is IRN_Shahr_I_Sokhta_BA1 mixed with some ASI.

On mdlp k27 I get following

Ancestral-South-Indian 57.01%
Gedrosia-Caucasian 28.49%
Caucasian-Near-Eastern 2.20%
Kalash 2.12%
Australo-Melanesian 1.96%
South-Meso-Amerindian 1.25%
Tibeto-Burman 1.20%
East-Siberian 1.15%
Arabic 1.03%
Central-African-Hunter-Gatherers 0.90%
North-Circumpolar 0.79%
Papuan-Australian 0.75%
Baltic-Finnic 0.61%
Nilotic-Omotic 0.48%
Uralic 0.12%
Ancestral-Yayoi 0.01%
Central-African-Pygmean 0.01%
North-African 0.01%
Congo-Pygmean 0.01%
South-West-European 0.01%
Bantu 0.01%
Thambi has used a pure ASI component somehow. He modeled Indians and Pathans that way (ASI, Iran, Steppe, East Asian).

[Coastal Elite]

New ancient populations distances using Vahaduo calculator and Eurogenes datasheets. Vahaduo is easier to use than the R program.

Here is the link:

https://vahaduo.github.io/vahaduo/

Here you have datasheet for reference populations: https://bga101.blogspot.com/2019/07/getting-most-out-of-global25.html

Scaled

Distance to: DacoCeltic_scaled
0.02650929 Bell_Beaker_Bavaria:I5529
0.02677545 Bell_Beaker_CZE:I7275
0.02767168 French:French67
0.02790640 French_East:French24437
0.02835824 Swiss_German:Swiss_German5
0.02858641 Iberia_Northeast_c.6CE_PL:I12031
0.02874994 German:German5
0.02884261 French:French50
0.02891850 German:German55
0.02907843 Belgian:Belgium15
0.02985903 French:French7
0.03043085 French:French6
0.03067083 Swiss_German:Swiss_German7
0.03070632 Slovenian:Slovenian136
0.03072435 HUN_MA_Szolad:SZ45
0.03079921 Bell_Beaker_CZE:I4896
0.03082064 Austrian:Austria4
0.03085663 Austrian:Austria14
0.03093338 HUN_MA_Szolad:SZ23
0.03095666 HUN_MA_Szolad:SZ27
0.03129962 French:French12
0.03132275 Bell_Beaker_Bavaria:I6591
0.03177609 German:German70
0.03184661 Belgian:Belgium19
0.03194267 German:German54

Unscaled

Distance to: DacoCeltic
0.01448275 Swiss_German:Swiss_German5
0.01453960 HUN_MA_Szolad:SZ27
0.01580000 HUN_MA_Szolad:SZ45
0.01602030 English:HG01790
0.01618611 French:French7
0.01624746 Bell_Beaker_Bavaria:I5529
0.01634687 French:French50
0.01672961 Bell_Beaker_CZE:I7275
0.01702116 ITA_Collegno_MA:CL53
0.01703555 HUN_MA_Szolad:SZ23
0.01733811 French_East:French24437
0.01752227 French:French67
0.01781404 Dutch:Netherlands31
0.01791173 German:German5
0.01798249 German:German7
0.01803857 German:German70
0.01805215 French:French6
0.01837008 Bell_Beaker_CZE:I4889
0.01853645 Bell_Beaker_CZE:I4896
0.01853699 French_East:French24124
0.01865744 Belgian:Belgium15
0.01878563 Austrian:Austria10
0.01880479 Italian_Bergamo:HGDP01147
0.01894202 Swiss_French:Swiss_French4
0.01903497 DEU_Alberstedt_LN:I0118

[Dick]

My father's with ancients only

Distance to: Dick_dad_scaled

0.03769781 UKR_Chernyakhiv_Shyshaky
0.03783654 Scythian_HUN
0.04099574 DEU_MA_ACD
0.04102466 BGR_Varna_En3
0.04300094 HUN_MA
0.04313454 HUN_MA_Szolad
0.04585076 Bell_Beaker_HUN_EBA
0.04642891 Iberia_Northeast_c.6CE_PL
0.05024293 CZE_Early_Slav
0.05050606 ITA_Collegno_MA
0.05344444 Bell_Beaker_Bavaria
0.05557298 DEU_Alberstedt_LN
0.05564641 Bell_Beaker_CZE
0.05588509 HUN_LBA
0.05610915 DEU_Lech_EBA
0.05654791 DEU_Lech_BBC
0.05658986 Levant_LBN_MA_Euro
0.05704806 SVK_Poprad_MA
0.05755915 HUN_MA_Szolad_o2
0.05816048 Bell_Beaker_CHE
0.06037068 Bell_Beaker_POL
0.06037117 DEU_MA
0.06040790 CZE_Hallstatt_Bylany
0.06079339 Scythian_MDA
0.06266329 HUN_Avar_Szolad

Target: Dick_dad_scaled
Distance: 1.3085% / 0.01308490

33.6 KAZ_Golden_Horde_Euro
15.2 USA_colonial_period
15.0 ROU_N
7.2 Bell_Beaker_CZE_o
6.8 UKR_Srubnaya_MLBA
5.8 Anatolia_Kaman-Kalehoyuk_MLBA_low_res
5.6 AFG_Darra_i_kur_MBA_low_res
2.8 Anatolia_Kumtepe_N_low_res
2.6 UKR_Chernyakhiv_Shyshaky
1.8 Baltic_LTU_Late_Antiquity_low_res
1.6 MKD_N
0.8 HUN_MA_Szolad_o1
0.4 VUT_150BP_all
0.2 RUS_Ingria_IA
0.2 VUT_2300BP_all
0.2 Yamnaya_RUS_Kalmykia
0.2 ZAF_1200BP

[Dick]

here's file with updated ancients and moderns separated from this month


https://we.tl/t-X5zxfRVsLC

[Kamal900]

My results:

Distance to: Moody_scaled
0.03818439 Levant_LBN_MA_NE_SI-45
0.03949403 Levant_LBN_Roman_QED-2
0.04607430 Levant_LBN_Roman_QED-7
0.04789017 Levant_Canaanite_MBA_ERS1790733
0.04793320 Levant_ISR_Ashkelon_IA1_ASH066
0.04833605 Levant_Canaanite_MBA_ERS1790732
0.04866404 Levant_ISR_Ashkelon_IA2_ASH8
0.04899878 Levant_LBN_Roman_QED-12
0.05057932 Levant_LBN_Roman_QED-4
0.05060990 Levant_LBN_MA_NE_SI-42
0.05111293 Levant_Canaanite_MBA_ERS1790730
0.05313171 Levant_ISR_Ashkelon_LBA_ASH34
0.05491630 Levant_LBN_MA_NE_SI-38
0.05588090 Levant_Canaanite_MBA_ERS1790731
0.05948741 Levant_LBN_MA_NE_SI-44
0.06014275 Anatolia_Ovaoren_EBA_MA2210
0.06124604 Levant_ISR_MLBA_I2062
0.06192875 IND_Roopkund_B_o_I6935
0.06259783 Levant_Canaanite_MBA_ERS1790729
0.06426490 Levant_ISR_Ashkelon_LBA_ASH29
0.06427419 IRN_Hajji_Firuz_C_I4351
0.06454854 England_Roman_Near_Eastern_o_3DT26
0.06614519 Levant_ISR_Ashkelon_IA2_ASH087
0.06650608 Levant_ISR_Ashkelon_LBA_ASH33
0.06742460 ITA_Collegno_MA_o1_CL25
0.06768574 Anatolia_Kaman-Kalehoyuk_MLBA_MA2200
0.06824161 Levant_ISR_Ashkelon_IA2_ASH135
0.06918881 ITA_Collegno_MA_o1_CL38
0.06925922 Anatolia_Ovaoren_EBA_MA2212
0.07003073 ITA_Collegno_MA_o1_CL30
0.07078996 IRN_Hajji_Firuz_C_I4241
0.07112701 IND_Roopkund_B_I3345
0.07167942 Anatolia_Kaman-Kalehoyuk_MLBA_low_res_MA2208
0.07197118 Levant_ISR_Ashkelon_IA1_ASH2-3
0.07273463 IND_Roopkund_B_I2869
0.07290944 Anatolia_Ovaoren_EBA_MA2213
0.07325378 Anatolia_Kaman-Kalehoyuk_MLBA_MA2203
0.07336901 IRN_Hajji_Firuz_C_I2323
0.07416767 ARM_Areni_C_I1632
0.07457892 Iberia_Southeast_c.10-16CE_I3808
0.07564661 Anatolia_Barcin_C_I1584
0.07573764 Anatolia_Kaman-Kalehoyuk_MLBA_MA2206
0.07604711 IND_Roopkund_B_I6937
0.07702045 Anatolia_Kaman-Kalehoyuk_MLBA_MA2205
0.07780496 Ostrogothic_Crimea_ACD_KER_1
0.07851999 IND_Roopkund_B_I3405
0.07905027 Iberia_Southeast_c.10-16CE_I7499
0.07964302 IRN_Hasanlu_IA_F38
0.08062811 Anatolia_Isparta_EBA_I2683
0.08092486 Anatolia_Isparta_EBA_I2499

happycow's results:

Distance to: TimA_scaled
0.04258636 Levant_LBN_MA_NE_SI-45
0.04430297 Levant_LBN_Roman_QED-2
0.04523898 Levant_Canaanite_MBA_ERS1790732
0.04792843 Levant_ISR_Ashkelon_IA1_ASH066
0.04976285 Levant_Canaanite_MBA_ERS1790730
0.05081679 Levant_Canaanite_MBA_ERS1790733
0.05121750 England_Roman_Near_Eastern_o_3DT26
0.05130665 Levant_ISR_Ashkelon_IA2_ASH8
0.05148902 Levant_LBN_Roman_QED-7
0.05153303 Levant_LBN_Roman_QED-12
0.05296748 Levant_LBN_MA_NE_SI-42
0.05543196 Levant_Canaanite_MBA_ERS1790731
0.05574646 Levant_ISR_MLBA_I2062
0.05574700 Levant_LBN_Roman_QED-4
0.06169093 Levant_Canaanite_MBA_ERS1790729
0.06204388 Levant_LBN_MA_NE_SI-38
0.06244814 Levant_ISR_Ashkelon_LBA_ASH34
0.06569923 Levant_LBN_MA_NE_SI-44
0.06588751 Levant_ISR_Ashkelon_IA2_ASH135
0.06599525 Levant_ISR_Ashkelon_LBA_ASH29
0.06620451 Levant_ISR_Ashkelon_IA2_ASH087
0.06712147 EGY_Late_Period_JK2911
0.07117247 Levant_ISR_Ashkelon_LBA_ASH33
0.07147445 Anatolia_Ovaoren_EBA_MA2210
0.07432265 Levant_JOR_EBA_I1730
0.07460790 Anatolia_Ovaoren_EBA_MA2212
0.07552369 IND_Roopkund_B_o_I6935
0.07553010 Levant_JOR_EBA_I1705
0.07561801 Iberia_Southeast_c.10-16CE_I3808
0.07614078 Levant_JOR_EBA_I1706
0.07633346 EGY_Late_Period_JK2134
0.07651845 Anatolia_Kaman-Kalehoyuk_MLBA_MA2200
0.07759323 ITA_Collegno_MA_o1_CL25
0.07784280 ITA_Collegno_MA_o1_CL38
0.07812519 Levant_ISR_Ashkelon_IA1_ASH2-3
0.07833641 IRN_Hajji_Firuz_C_I4351
0.07919187 Iberia_Southeast_c.10-16CE_I7499
0.08044091 ITA_Collegno_MA_o1_CL30
0.08069432 IRN_Hajji_Firuz_C_I4241
0.08073561 IND_Roopkund_B_I3345
0.08088998 IND_Roopkund_B_I2869
0.08182280 Anatolia_Ovaoren_EBA_MA2213
0.08220334 Anatolia_Kaman-Kalehoyuk_MLBA_MA2203
0.08232156 Anatolia_Kaman-Kalehoyuk_MLBA_low_res_MA2208
0.08364395 EGY_Hellenistic_JK2888
0.08392023 Anatolia_Kaman-Kalehoyuk_MLBA_MA2206
0.08527985 IND_Roopkund_B_I6937
0.08638670 Anatolia_Kaman-Kalehoyuk_MLBA_MA2205
0.08666263 IRN_Hajji_Firuz_C_I2323
0.08710351 IND_Roopkund_B_I3405

We're Canaanites..bitches
https://www.archaeology.org/images/JA2017/Jaffa/Jaffa-Thebes-Limestone-Relief.jpg
http://realhistoryww.com/world_history/ancient/Images_Canaan/Sobekhotep_4.jpg
http://biblelandpictures.com/wp-content/uploads/2015/04/1835-3-Syrian-tribute.jpg

[tipirneni]

"distance%=0.9951"

Suresh_T

IRN_Shahr_I_Sokhta_BA3,61
PAK_Swat_Saidu_Sharif_IA_o,19.6666666666667
PAK_Swat_Udegram_IA,8
PAK_Swat_Barikot_IA,3
Iberia_Southeast_MLN,2.66666666666667
PAK_Swat_Katelai_IA,2.33333333333333
NPL_Mebrak_2125BP,2
Iberia_Southeast_Meso,0.666666666666667
LAO_BA,0.666666666666667
https://welcometoiran.com/wp-content/uploads/2017/12/artificial-eye.jpg
http://www.ancientpages.com/wp-content/uploads/2017/05/jiroft1.jpg


"distance%=0.9279"

Suresh_T

IND_Roopkund_A,57
IRN_Shahr_I_Sokhta_BA2,40
TKM_Gonur2_BA,1.16666666666667
TKM_Gonur1_BA,0.5
IRN_Tepe_Abdul_Hosein_N,0.333333333333333
IRN_Ganj_Dareh_N,0.166666666666667
IRN_Shahr_I_Sokhta_BA1,0.166666666666667
IRN_Tepe_Hissar_C,0.166666666666667
LAO_Hoabinhian,0.166666666666667
RUS_Yana_MA,0.166666666666667
TKM_Parkhai_En,0.166666666666667

updated with new samples

"distance%=1.6606"

Suresh_T_scaled

IRN_Shahr_I_Sokhta_BA2_I8728,19.8333333333333
IND_Roopkund_A_I3342,12.6666666666667
IND_Roopkund_A_I6944,12.3333333333333
IND_Roopkund_A_I6941,6.66666666666667
IND_Roopkund_A_I3352,6.16666666666667
IRN_Shahr_I_Sokhta_BA2_I11459,6.16666666666667
IRN_Shahr_I_Sokhta_BA2_I11456,6
IND_Roopkund_A_I6942,5.33333333333333
IND_Roopkund_A_I7035,3.66666666666667
IRN_Shahr_I_Sokhta_BA2_I11466,3.5
PAK_Katelai_IA_I5399,2.33333333333333
IND_Roopkund_A_I3346,2
TKM_Gonur2_BA_I2123,1.83333333333333
IND_Roopkund_A_I6946,1.66666666666667
IND_Roopkund_A_I3343,1.5
PAK_Aligrama_IA_I6888,1.33333333333333
PAK_Loebanr_IA_I12134,1.33333333333333
PAK_Saidu_Sharif_H_o_I7722,1
PAK_Aligrama_IA_I8219,0.666666666666667
PAK_Katelai_IA_I12472,0.666666666666667
IND_Roopkund_A_I2868,0.5
IND_Roopkund_A_I7036,0.333333333333333
PAK_Butkara_H_I6551,0.333333333333333
PAK_Gogdara_IA_I8194,0.333333333333333
IND_Great_Andamanese_100BP_Andaman,0.1666666666666 67
IND_Roopkund_A_I6934,0.166666666666667
PAK_Aligrama_IA_I8246,0.166666666666667
PAK_Butkara_H_I6549,0.166666666666667
PAK_Butkara_H_I6550,0.166666666666667
PAK_Katelai_IA_I12460,0.166666666666667
PAK_Loebanr_IA_I10000,0.166666666666667
PAK_Loebanr_IA_I12457,0.166666666666667
PAK_Saidu_Sharif_H_I7719,0.166666666666667
PAK_Udegram_IA_I6901,0.166666666666667
TKM_Gonur2_BA_I11041,0.166666666666667

[Adamm]

With the updated version:

Ancient averaged:

Distance to: Adamm_scaled

0.03456290 Canary_Islands_Guanche
0.06138331 Iberia_Central_CA_Afr
0.08792480 MAR_LN
0.12028260 EGY_Late_Period
0.12653745 England_Roman_Near_Eastern_o
0.12726769 EGY_Hellenistic
0.13484351 Iberia_Southeast_c.5-8CE
0.13759161 Iberia_Southeast_c.3-4CE
0.13841148 Iberia_Southeast_c.10-16CE
0.14301875 Levant_Natufian
0.14728824 Levant_PPNB
0.14763267 Levant_PPNC
0.15540381 Levant_ISR_Ashkelon_IA2
0.15612683 Levant_JOR_EBA
0.15855984 Levant_Canaanite_MBA
0.15894412 Levant_LBN_MA_Mixed
0.15910369 Levant_LBN_MA_NE
0.16121105 Levant_LBN_Roman
0.16235215 Levant_ISR_C
0.16560090 Levant_ISR_MLBA
0.16746035 Levant_ISR_Ashkelon_IA1
0.16883054 Levant_ISR_Ashkelon_LBA
0.17168635 ITA_Collegno_MA_o1
0.17586081 IND_Roopkund_B
0.17659580 GRC_Mycenaean

Ancient:

Distance to: Adamm_scaled

0.04136360 Canary_Islands_Guanche_gun008
0.04196794 Canary_Islands_Guanche_gun011
0.04987661 Canary_Islands_Guanche_gun012
0.05289275 Canary_Islands_Guanche_gun005
0.05298467 Canary_Islands_Guanche_gun002
0.06138331 Iberia_Central_CA_Afr_I4246
0.08792480 MAR_LN_KEB.4
0.10239834 Iberia_Southeast_c.10-16CE_I8146
0.11956896 EGY_Late_Period_JK2134
0.12019216 Iberia_Southeast_c.5-8CE_I3980
0.12330867 Iberia_Southeast_c.10-16CE_I7499
0.12400755 Iberia_Southeast_c.5-8CE_I3575
0.12483500 EGY_Late_Period_JK2911
0.12653745 England_Roman_Near_Eastern_o_3DT26
0.12697895 Iberia_Southeast_c.10-16CE_I7425
0.12726769 EGY_Hellenistic_JK2888
0.12827751 Iberia_Southeast_c.10-16CE_I7457
0.13091161 Iberia_Southeast_c.10-16CE_I3808
0.13203710 Iberia_Southeast_c.3-4CE_I3983
0.13205453 Iberia_Southeast_c.5-8CE_I3576
0.13451812 Levant_PPNB_BAJ001
0.13466380 Levant_LBN_MA_Mixed_SI-41
0.13929964 Iberia_Southeast_c.5-8CE_I3581
0.14009523 Iberia_Southeast_c.10-16CE_I12644
0.14092218 Iberia_Southeast_c.3-4CE_I4054


Modern Averaged:

Distance to: Adamm_scaled

0.02403464 Moroccan_North
0.02645812 Berber_Tunisia_Chen
0.03891470 Berber_Tunisia_Sen
0.04316063 Tunisian
0.05046857 Mozabite
0.05643320 Algerian
0.06035030 Libyan
0.07062833 Moroccan
0.07798375 Berber_MAR_ERR
0.08227416 Saharawi
0.09027538 Egyptian
0.09134832 Berber_MAR_TIZ
0.11539778 BedouinA
0.12355701 Libyan_Jew
0.12500233 Tunisian_Jew
0.12790906 Moroccan_Jew
0.12800484 Palestinian
0.13688753 Yemenite_Dhamar
0.14043381 Yemenite_Amran
0.14273703 Yemenite_Al_Bayda
0.14741165 Yemenite_Ma'rib
0.14903641 Sephardic_Jew
0.14993288 Spanish_Canarias
0.15003144 BedouinB
0.15064105 Italian_Jew

Modern:

Distance to: Adamm_scaled

0.02416574 Algerian_ALG900
0.02693835 Moroccan_North_MNA1
0.02700727 Mozabite_HGDP01263
0.03170288 Moroccan_North_MNA6
0.03264050 Berber_Tunisia_Chen_T11
0.03311266 Berber_Tunisia_Chen_T52
0.03352181 Algerian_Algerian43A34
0.03392214 Berber_Tunisia_Chen_T44
0.03401219 Berber_Tunisia_Chen_T31
0.03414899 Tunisian_Tunisian20C4
0.03431532 Berber_Tunisia_Chen_T42
0.03545439 Berber_Tunisia_Chen_T35
0.03550655 Berber_Tunisia_Chen_T12
0.03569555 Berber_Tunisia_Chen_T28
0.03579132 Berber_Tunisia_Chen_T1
0.03627484 Berber_Tunisia_Chen_T37
0.03640560 Moroccan_North_MCH12
0.03660627 Algerian_ALG400
0.03680994 Algerian_ALG700
0.03692646 Algerian_ALG600
0.03754827 Berber_Tunisia_Chen_T6
0.03764369 Moroccan_North_MNA4
0.03778926 Moroccan_North_MNA3
0.03793235 Berber_Tunisia_Chen_T13
0.03799897 Moroccan_North_MOJ3

[tipirneni]

IRN_Shahr_I_Sokhta_BA2_I8728 PAK_Saidu_Sharif_H_o_I7722
IND_Roopkund_A_I6944 IND_Roopkund_A_I3343
IND_Roopkund_A_I3342 IND_Roopkund_A_I7035
IND_Roopkund_A_I3352 IND_Roopkund_A_I2868
IND_Roopkund_A_I7036 IRN_Shahr_I_Sokhta_BA2_I11459
IND_Roopkund_A_I3346 IND_Roopkund_A_I6942
IND_Roopkund_A_I6941 PAK_Loebanr_IA_I12134
PAK_Katelai_IA_I12470 PAK_Aligrama_IA_I6888
PAK_Loebanr_IA_I12981 PAK_Katelai_IA_I5399
PAK_Aligrama_H_I8245 PAK_Katelai_IA_I12446
PAK_Katelai_IA_I12460 IRN_Shahr_I_Sokhta_BA2_I11456
PAK_Butkara_H_I6551 IND_Roopkund_A_I6938
IND_Roopkund_A_I6946 IND_Roopkund_A_I2871
PAK_Saidu_Sharif_H_I7717 PAK_Aligrama_IA_I8219
PAK_Butkara_H_I6547 PAK_Katelai_IA_I12472
PAK_Butkara_H_I6549 IND_Roopkund_A_I3406
PAK_Aligrama_IA_I8246 PAK_Butkara_H_I6550
PAK_Barikot_MA_I7715 PAK_Saidu_Sharif_H_I7720
IRN_Shahr_I_Sokhta_BA2_I11466 PAK_Saidu_Sharif_H_I7721
PAK_Saidu_Sharif_H_I6896 PAK_Gogdara_IA_I8194
UZB_Bustan_BA_o2_I11520 PAK_Saidu_Sharif_H_I7723
PAK_Saidu_Sharif_H_I6894 IND_Roopkund_A_I6934
TKM_Gonur2_BA_I2123 PAK_Loebanr_IA_I5400
IND_Roopkund_A_I2872 PAK_Katelai_IA_I12465
PAK_Saidu_Sharif_H_I6891 PAK_Saidu_Sharif_H_I7719
PAK_Loebanr_IA_I12457 PAK_Loebanr_IA_I12988
PAK_Aligrama_H_I8220 PAK_Udegram_IA_I6899
PAK_Aligrama_H_I8218 PAK_Saidu_Sharif_H_I6893
PAK_Saidu_Sharif_H_I7718 PAK_Katelai_IA_I12471
PAK_Katelai_IA_I12149 PAK_Loebanr_IA_I13226
PAK_Loebanr_IA_I13227 PAK_Udegram_IA_I1985
PAK_Loebanr_IA_I12458 PAK_Loebanr_IA_I12987
PAK_Loebanr_IA_I12984 PAK_Barikot_H_I7714
PAK_Loebanr_IA_I12982 PAK_Loebanr_IA_I6555
PAK_Loebanr_IA_I10001 PAK_Loebanr_IA_I6553
PAK_Udegram_IA_I1994 PAK_Butkara_IA_I12451
PAK_Loebanr_IA_I12455 PAK_Loebanr_IA_I12456
PAK_Udegram_IA_I6900 PAK_Loebanr_IA_I10000
PAK_Katelai_IA_I5397 PAK_Katelai_IA_I10523
PAK_Katelai_IA_I12454 PAK_Udegram_IA_I6197
PAK_Katelai_IA_I12462 PAK_Udegram_IA_I1799
PAK_Loebanr_IA_I13228 PAK_Barikot_H_I6890
PAK_Loebanr_IA_I8998 PAK_Loebanr_IA_I13220
PAK_Butkara_IA_I12450 PAK_Udegram_IA_I8190
PAK_Barikot_H_I6889 PAK_Katelai_IA_I12143
PAK_Butkara_IA_I13219 PAK_Loebanr_IA_I13223
PAK_Loebanr_IA_I12459 PAK_Loebanr_IA_I10974
PAK_Gogdara_IA_I8193 PAK_Loebanr_IA_I12979
PAK_Katelai_IA_I5398 PAK_Loebanr_IA_I13222
PAK_Katelai_IA_I12463 PAK_Katelai_IA_I12477
PAK_Loebanr_IA_I13224 PAK_Katelai_IA_I12142
PAK_Loebanr_IA_I6292 PAK_Barikot_IA_I6545
PAK_Udegram_IA_I6198 PAK_Katelai_IA_I12146
IRN_Shahr_I_Sokhta_BA2_I8726 PAK_Udegram_IA_I6194
PAK_Loebanr_IA_I8999 PAK_Katelai_IA_I12447
PAK_Katelai_IA_I12464 PAK_Katelai_IA_I12445
PAK_Katelai_IA_I5396 PAK_Udegram_IA_I6901
PAK_Loebanr_IA_I12137 PAK_Loebanr_IA_I6556
PAK_Katelai_IA_I12475 PAK_Loebanr_IA_I12983
PAK_Butkara_IA_I12968 PAK_Barikot_IA_I6546
PAK_Katelai_IA_I12147 PAK_Katelai_IA_I12141
PAK_Arkotkila_IA_I6557 RUS_MA1_MA1
PAK_Udegram_IA_I6897 TKM_Gonur2_BA_I11041
PAK_Katelai_IA_I12448 PAK_Katelai_IA_I12461
RUS_AfontovaGora3_AfontovaGora3 RUS_Sosonivoy_HG_I5766
RUS_Karelia_HG_I0211 RUS_Yana_UP_Yana1
PAK_Udegram_MA_Ghaznavid_I2959 RUS_Yana_UP_Yana2
PAK_Udegram_MA_Ghaznavid_I7716 VUT_150BP_all_I4105_all
PAK_Singoor_MA_I1805 RUS_Tyumen_HG_I1960
PAK_Barikot_IA_I6548 VUT_150BP_all_I4106_all
VUT_2300BP_all_I4451_all VUT_150BP_all_I4450_all
RUS_Samara_HG_I0124 VUT_1300BP_all_I4096_all
RUS_Karelia_HG_UzOO77 VUT_1300BP_all_I3921_all
KAZ_Botai_BOT15 RUS_Sintashta_MLBA_o1_I1017
KAZ_Kumsay_EBA_I11734 RUS_Sidelkino_HG_Sidelkino
KAZ_Mereke_MBA_I11737 VUT_150BP_TAN001
KAZ_Botai_BOT2016 Baltic_LVA_MN_I4436
Iberia_Southeast_c.5-8CE_I3980 RUS_Steppe_Maykop_AY2003
Baltic_LVA_MN_I4554 RUS_Ust_Ishim_Ust_Ishim
KAZ_Kumsay_EBA_I11531 VUT_500BP_all_I5259_all
RUS_Karelia_HG_I0061 VUT_2500BP_TAN002
Iberia_Northeast_c.8-12CE_I10853 VUT_150BP_I4419
UKR_Meso_I1733 RUS_Sintashta_MLBA_o3_I1028
KAZ_Turk_DA89 Iberia_Southeast_c.5-8CE_I3581
Levant_ISR_Ashkelon_IA1_ASH2-3 Baltic_LVA_MN_I4435
Levant_LBN_MA_Mixed_SI-41 UKR_Meso_I1819
VUT_1100BP_FUT002 Levant_LBN_MA_NE_SI-45
ITA_Collegno_MA_o1_CL30 Levant_Canaanite_MBA_ERS1790732
KAZ_Dali_EBA_I3447 LAO_Hoabinhian_La368
HUN_MA_Szolad_SZ32 VUT_150BP_I4424
ITA_Collegno_MA_o1_CL25 Anatolia_Isparta_EBA_I2683
UKR_Meso_I1763 Iberia_Southeast_c.5-8CE_I3576
VUT_1100BP_FUT001 Iberia_Southeast_c.10-16CE_I7425
England_Roman_Near_Eastern_o_3DT26 Baltic_EST_Comb_Ceramic_low_res_Tamula3
NOR_Meso_Hum1 KAZ_Botai_BOT14
Iberia_Southeast_c.5-8CE_I3981 RUS_Sintashta_MLBA_o1_I1007
VUT_1200BP_FUT006 Levant_LBN_MA_NE_SI-44
HUN_LBA_I1504 Iberia_Southeast_c.3-4CE_I3983
Iberia_Southeast_c.5-8CE_I3585 Hun_Tian_Shan_DA72
BGR_EBA_I2176 Anatolia_Kaman-Kalehoyuk_MLBA_MA2200