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Legend_9813

Rajput_Garhwal

Legend_9813
Apr 23rd, 2023
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  1. qpAdm: parameter file: param
  2. ### THE INPUT PARAMETERS
  3. ##PARAMETER NAME: VALUE
  4. fstatsname: fstats
  5. popleft: left
  6. popright: right
  7. details: YES
  8. ## qpAdm version: 1520
  9. seed: 65355543
  10. *** recommended that inbreed be explicitly set ***
  11. inbreed set NO
  12.  
  13. left pops:
  14. Rajput_Garhwal
  15. Paniya
  16. IVC_30AASI_50IranN
  17. Nepal_Mustang_Chokhopani_IA
  18. China_Xinjiang_Tangbalesayi_LBA_Andronovo
  19.  
  20. right pops:
  21. Mbuti.DG
  22. EHG
  23. CHG
  24. WSHG
  25. Onge.DG
  26. Turkey_N
  27. Iraq_PPNA
  28. Levant_PPN
  29. CHN_Tarim_EMBA1
  30. Iran_GanjDareh_N
  31. Mongolia_North_N
  32. China_Upper_YR_LN
  33. Serbia_IronGates_Mesolithic
  34.  
  35. codimension 1
  36. f4info:
  37. f4rank: 3 dof: 9 chisq: 9.549 tail: 0.38822317 dofdiff: 11 chisqdiff: -9.549 taildiff: 1
  38. B:
  39. scale 1.000 1.000 1.000
  40. EHG 0.990 0.908 -0.881
  41. CHG 0.938 0.106 0.705
  42. WSHG 0.663 0.832 0.060
  43. Onge.DG -0.834 -0.063 -0.723
  44. Turkey_N 1.060 0.557 -0.356
  45. Iraq_PPNA 0.937 0.264 0.718
  46. Levant_PPN 0.895 0.518 0.051
  47. CHN_Tarim_EMBA1 0.443 0.763 0.024
  48. Iran_GanjDareh_N 0.794 -0.373 2.292
  49. Mongolia_North_N -1.353 1.858 0.880
  50. China_Upper_YR_LN -1.520 2.124 0.487
  51. Serbia_IronGates_Mesolithic 1.110 1.066 -1.813
  52. A:
  53. scale 241.123 528.915 1493.092
  54. Paniya -0.554 -1.026 -1.164
  55. IVC_30AASI_50IranN 0.490 -0.604 1.227
  56. Nepal_Mustang_Chokhopani_IA -1.101 1.366 0.465
  57. China_Xinjiang_Tangbalesayi_LBA_Andronovo 1.497 0.847 -0.961
  58.  
  59.  
  60. full rank
  61. f4info:
  62. f4rank: 4 dof: 0 chisq: 0.000 tail: 1 dofdiff: 9 chisqdiff: 9.549 taildiff: 0.38822317
  63. B:
  64. scale 373.855 398.360 176.344 153.168
  65. EHG -1.092 0.289 -0.321 1.354
  66. CHG -1.149 0.921 -0.670 0.839
  67. WSHG -1.019 0.376 -0.040 0.947
  68. Onge.DG 1.075 -0.729 0.709 -0.662
  69. Turkey_N -1.194 0.530 -0.593 1.209
  70. Iraq_PPNA -1.361 0.753 -0.656 0.830
  71. Levant_PPN -0.996 0.725 -0.385 1.078
  72. CHN_Tarim_EMBA1 -0.750 0.242 0.123 0.724
  73. Iran_GanjDareh_N -1.018 1.654 -0.619 0.493
  74. Mongolia_North_N -0.294 -1.457 2.097 -0.830
  75. China_Upper_YR_LN -0.371 -2.025 2.243 -0.951
  76. Serbia_IronGates_Mesolithic -1.095 -0.041 -0.433 1.567
  77. A:
  78. scale 2.000 2.000 2.000 2.000
  79. Paniya 2.000 0.000 0.000 0.000
  80. IVC_30AASI_50IranN 0.000 2.000 0.000 0.000
  81. Nepal_Mustang_Chokhopani_IA 0.000 0.000 2.000 0.000
  82. China_Xinjiang_Tangbalesayi_LBA_Andronovo 0.000 0.000 0.000 2.000
  83.  
  84.  
  85. best coefficients: 0.277 0.311 0.237 0.175
  86. totmean: 0.277 0.311 0.237 0.175
  87. boot mean: 0.277 0.311 0.237 0.175
  88. std. errors: 0.058 0.050 0.029 0.025
  89.  
  90. error covariance (* 1,000,000)
  91. 3334 -2136 -1333 135
  92. -2136 2472 459 -795
  93. -1333 459 833 41
  94. 135 -795 41 619
  95.  
  96.  
  97. summ: Rajput_Garhwal 4 0.388223 0.277 0.311 0.237 0.175 3334 -2136 -1333 135 2472 ...
  98. 459 -795 833 41 619
  99.  
  100. fixed pat wt dof chisq tail prob
  101. 0000 0 9 9.549 0.388223 0.277 0.311 0.237 0.175
  102. 0001 1 10 53.146 6.99671e-08 0.245 0.531 0.224 0.000
  103. 0010 1 10 72.446 1.49138e-11 0.650 0.196 0.000 0.154
  104. 0100 1 10 47.923 6.41081e-07 0.537 0.000 0.188 0.275
  105. 1000 1 10 32.061 0.000391133 0.000 0.473 0.351 0.176
  106. 0011 2 11 101.771 7.95755e-17 0.601 0.399 0.000 0.000
  107. 0101 2 11 215.546 0 1.002 0.000 -0.002 0.000 infeasible
  108. 0110 2 11 90.376 1.40725e-14 0.773 0.000 0.000 0.227
  109. 1001 2 11 69.744 1.36651e-10 0.000 0.675 0.325 0.000
  110. 1010 2 11 320.594 0 0.000 1.089 0.000 -0.089 infeasible
  111. 1100 2 11 199.908 0 0.000 0.000 0.515 0.485
  112. 0111 3 12 211.938 0 1.000 0.000 0.000 0.000
  113. 1011 3 12 322.543 0 0.000 1.000 0.000 0.000
  114. 1101 3 12 1008.025 0 0.000 0.000 1.000 0.000
  115. 1110 3 12 1088.668 0 0.000 0.000 0.000 1.000
  116. best pat: 0000 0.388223 - -
  117. best pat: 1000 0.000391133 chi(nested): 22.512 p-value for nested model: 2.08794e-06
  118. best pat: 1001 1.36651e-10 chi(nested): 37.683 p-value for nested model: 8.32394e-10
  119. best pat: 0111 1.11098e-38 not nested
  120.  
  121. coeffs: 0.277 0.311 0.237 0.175
  122.  
  123. ## dscore:: f_4(Base, Fit, Rbase, right2)
  124. ## genstat:: f_4(Base, Fit, right1, right2)
  125.  
  126. details: Paniya EHG -0.002922 -7.134732
  127. details: IVC_30AASI_50IranN EHG 0.000724 1.515468
  128. details: Nepal_Mustang_Chokhopani_IA EHG -0.001818 -3.694731
  129. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo EHG 0.008837 17.466769
  130. dscore: EHG f4: 0.000534 Z: 1.375231
  131.  
  132. details: Paniya CHG -0.003074 -6.446606
  133. details: IVC_30AASI_50IranN CHG 0.002312 4.430266
  134. details: Nepal_Mustang_Chokhopani_IA CHG -0.003798 -6.612942
  135. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo CHG 0.005475 8.990499
  136. dscore: CHG f4: -0.000074 Z: -0.163840
  137.  
  138. details: Paniya WSHG -0.002727 -5.483957
  139. details: IVC_30AASI_50IranN WSHG 0.000944 1.663623
  140. details: Nepal_Mustang_Chokhopani_IA WSHG -0.000227 -0.376616
  141. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo WSHG 0.006184 9.692010
  142. dscore: WSHG f4: 0.000567 Z: 1.205865
  143.  
  144. details: Paniya Onge.DG 0.002875 6.287242
  145. details: IVC_30AASI_50IranN Onge.DG -0.001831 -3.309227
  146. details: Nepal_Mustang_Chokhopani_IA Onge.DG 0.004018 6.972641
  147. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Onge.DG -0.004319 -7.368566
  148. dscore: Onge.DG f4: 0.000423 Z: 0.943995
  149.  
  150. details: Paniya Turkey_N -0.003194 -8.872819
  151. details: IVC_30AASI_50IranN Turkey_N 0.001330 3.257566
  152. details: Nepal_Mustang_Chokhopani_IA Turkey_N -0.003361 -7.635463
  153. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Turkey_N 0.007894 16.512870
  154. dscore: Turkey_N f4: 0.000115 Z: 0.337382
  155.  
  156. details: Paniya Iraq_PPNA -0.003641 -6.941245
  157. details: IVC_30AASI_50IranN Iraq_PPNA 0.001890 3.176554
  158. details: Nepal_Mustang_Chokhopani_IA Iraq_PPNA -0.003721 -5.916595
  159. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Iraq_PPNA 0.005421 8.019204
  160. dscore: Iraq_PPNA f4: -0.000354 Z: -0.691287
  161.  
  162. details: Paniya Levant_PPN -0.002664 -5.730286
  163. details: IVC_30AASI_50IranN Levant_PPN 0.001820 3.468116
  164. details: Nepal_Mustang_Chokhopani_IA Levant_PPN -0.002184 -4.042763
  165. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Levant_PPN 0.007036 12.229199
  166. dscore: Levant_PPN f4: 0.000543 Z: 1.239363
  167.  
  168. details: Paniya CHN_Tarim_EMBA1 -0.002005 -4.219801
  169. details: IVC_30AASI_50IranN CHN_Tarim_EMBA1 0.000607 1.122253
  170. details: Nepal_Mustang_Chokhopani_IA CHN_Tarim_EMBA1 0.000699 1.249870
  171. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo CHN_Tarim_EMBA1 0.004725 7.696690
  172. dscore: CHN_Tarim_EMBA1 f4: 0.000626 Z: 1.403169
  173.  
  174. details: Paniya Iran_GanjDareh_N -0.002722 -7.134237
  175. details: IVC_30AASI_50IranN Iran_GanjDareh_N 0.004152 9.533395
  176. details: Nepal_Mustang_Chokhopani_IA Iran_GanjDareh_N -0.003508 -7.410510
  177. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Iran_GanjDareh_N 0.003217 6.482281
  178. dscore: Iran_GanjDareh_N f4: 0.000267 Z: 0.735261
  179.  
  180. details: Paniya Mongolia_North_N -0.000786 -1.724934
  181. details: IVC_30AASI_50IranN Mongolia_North_N -0.003658 -7.076112
  182. details: Nepal_Mustang_Chokhopani_IA Mongolia_North_N 0.011891 21.763311
  183. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Mongolia_North_N -0.005416 -9.557970
  184. dscore: Mongolia_North_N f4: 0.000513 Z: 1.175525
  185.  
  186. details: Paniya China_Upper_YR_LN -0.000992 -1.986000
  187. details: IVC_30AASI_50IranN China_Upper_YR_LN -0.005085 -9.055025
  188. details: Nepal_Mustang_Chokhopani_IA China_Upper_YR_LN 0.012721 21.852834
  189. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo China_Upper_YR_LN -0.006211 -10.172245
  190. dscore: China_Upper_YR_LN f4: 0.000070 Z: 0.148039
  191.  
  192. details: Paniya Serbia_IronGates_Mesolithic -0.002929 -7.192000
  193. details: IVC_30AASI_50IranN Serbia_IronGates_Mesolithic -0.000104 -0.223109
  194. details: Nepal_Mustang_Chokhopani_IA Serbia_IronGates_Mesolithic -0.002453 -4.995428
  195. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Serbia_IronGates_Mesolithic 0.010234 19.447902
  196. dscore: Serbia_IronGates_Mesolithic f4: 0.000369 Z: 0.948988
  197.  
  198. gendstat: Mbuti.DG EHG 1.375
  199. gendstat: Mbuti.DG CHG -0.164
  200. gendstat: Mbuti.DG WSHG 1.206
  201. gendstat: Mbuti.DG Onge.DG 0.944
  202. gendstat: Mbuti.DG Turkey_N 0.337
  203. gendstat: Mbuti.DG Iraq_PPNA -0.691
  204. gendstat: Mbuti.DG Levant_PPN 1.239
  205. gendstat: Mbuti.DG CHN_Tarim_EMBA1 1.403
  206. gendstat: Mbuti.DG Iran_GanjDareh_N 0.735
  207. gendstat: Mbuti.DG Mongolia_North_N 1.176
  208. gendstat: Mbuti.DG China_Upper_YR_LN 0.148
  209. gendstat: Mbuti.DG Serbia_IronGates_Mesolithic 0.949
  210. gendstat: EHG CHG -1.441
  211. gendstat: EHG WSHG 0.099
  212. gendstat: EHG Onge.DG -0.235
  213. gendstat: EHG Turkey_N -1.379
  214. gendstat: EHG Iraq_PPNA -1.696
  215. gendstat: EHG Levant_PPN 0.021
  216. gendstat: EHG CHN_Tarim_EMBA1 0.295
  217. gendstat: EHG Iran_GanjDareh_N -0.729
  218. gendstat: EHG Mongolia_North_N -0.047
  219. gendstat: EHG China_Upper_YR_LN -0.962
  220. gendstat: EHG Serbia_IronGates_Mesolithic -0.624
  221. gendstat: CHG WSHG 1.269
  222. gendstat: CHG Onge.DG 0.928
  223. gendstat: CHG Turkey_N 0.492
  224. gendstat: CHG Iraq_PPNA -0.510
  225. gendstat: CHG Levant_PPN 1.310
  226. gendstat: CHG CHN_Tarim_EMBA1 1.429
  227. gendstat: CHG Iran_GanjDareh_N 0.865
  228. gendstat: CHG Mongolia_North_N 1.128
  229. gendstat: CHG China_Upper_YR_LN 0.259
  230. gendstat: CHG Serbia_IronGates_Mesolithic 1.047
  231. gendstat: WSHG Onge.DG -0.267
  232. gendstat: WSHG Turkey_N -1.083
  233. gendstat: WSHG Iraq_PPNA -1.563
  234. gendstat: WSHG Levant_PPN -0.049
  235. gendstat: WSHG CHN_Tarim_EMBA1 0.156
  236. gendstat: WSHG Iran_GanjDareh_N -0.647
  237. gendstat: WSHG Mongolia_North_N -0.115
  238. gendstat: WSHG China_Upper_YR_LN -0.976
  239. gendstat: WSHG Serbia_IronGates_Mesolithic -0.496
  240. gendstat: Onge.DG Turkey_N -0.657
  241. gendstat: Onge.DG Iraq_PPNA -1.226
  242. gendstat: Onge.DG Levant_PPN 0.224
  243. gendstat: Onge.DG CHN_Tarim_EMBA1 0.391
  244. gendstat: Onge.DG Iran_GanjDareh_N -0.319
  245. gendstat: Onge.DG Mongolia_North_N 0.193
  246. gendstat: Onge.DG China_Upper_YR_LN -0.758
  247. gendstat: Onge.DG Serbia_IronGates_Mesolithic -0.112
  248. gendstat: Turkey_N Iraq_PPNA -1.040
  249. gendstat: Turkey_N Levant_PPN 1.290
  250. gendstat: Turkey_N CHN_Tarim_EMBA1 1.282
  251. gendstat: Turkey_N Iran_GanjDareh_N 0.497
  252. gendstat: Turkey_N Mongolia_North_N 0.913
  253. gendstat: Turkey_N China_Upper_YR_LN -0.092
  254. gendstat: Turkey_N Serbia_IronGates_Mesolithic 0.903
  255. gendstat: Iraq_PPNA Levant_PPN 1.688
  256. gendstat: Iraq_PPNA CHN_Tarim_EMBA1 1.738
  257. gendstat: Iraq_PPNA Iran_GanjDareh_N 1.250
  258. gendstat: Iraq_PPNA Mongolia_North_N 1.379
  259. gendstat: Iraq_PPNA China_Upper_YR_LN 0.661
  260. gendstat: Iraq_PPNA Serbia_IronGates_Mesolithic 1.434
  261. gendstat: Levant_PPN CHN_Tarim_EMBA1 0.172
  262. gendstat: Levant_PPN Iran_GanjDareh_N -0.658
  263. gendstat: Levant_PPN Mongolia_North_N -0.058
  264. gendstat: Levant_PPN China_Upper_YR_LN -0.864
  265. gendstat: Levant_PPN Serbia_IronGates_Mesolithic -0.428
  266. gendstat: CHN_Tarim_EMBA1 Iran_GanjDareh_N -0.809
  267. gendstat: CHN_Tarim_EMBA1 Mongolia_North_N -0.250
  268. gendstat: CHN_Tarim_EMBA1 China_Upper_YR_LN -1.113
  269. gendstat: CHN_Tarim_EMBA1 Serbia_IronGates_Mesolithic -0.674
  270. gendstat: Iran_GanjDareh_N Mongolia_North_N 0.530
  271. gendstat: Iran_GanjDareh_N China_Upper_YR_LN -0.393
  272. gendstat: Iran_GanjDareh_N Serbia_IronGates_Mesolithic 0.284
  273. gendstat: Mongolia_North_N China_Upper_YR_LN -1.297
  274. gendstat: Mongolia_North_N Serbia_IronGates_Mesolithic -0.321
  275. gendstat: China_Upper_YR_LN Serbia_IronGates_Mesolithic 0.600
  276.  
  277. ##end of qpAdm: 18.802 seconds cpu 1.384 Mbytes in use
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