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Legend_9813

Bengali_Brahmin_anon

Legend_9813
Apr 19th, 2023
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  1. qpAdm: parameter file: parqpadm
  2. ### THE INPUT PARAMETERS
  3. ##PARAMETER NAME: VALUE
  4. indivname: Indian.ind
  5. snpname: Indian.snp
  6. genotypename: Indian.geno
  7. popleft: left
  8. popright: right
  9. details: YES
  10. allsnps: YES
  11. inbreed: NO
  12. ## qpAdm version: 1520
  13. seed: 12934631
  14. inbreed set NO
  15. inbreed set NO
  16. tmp: /tmp/fsx.395
  17.  
  18. left pops:
  19. Brahmin_Begngal2
  20. Paniya
  21. IVC_25AASI_50IranN
  22. China_Xinjiang_Tangbalesayi_LBA_Andronovo
  23.  
  24. right pops:
  25. Mbuti.DG
  26. EHG
  27. CHG
  28. WSHG
  29. Onge.SG
  30. Turkey_N
  31. Iraq_PPNA
  32. Levant_PPN
  33. CHN_Tarim_EMBA1
  34. Iran_GanjDareh_N
  35. Mongolia_North_N
  36. Serbia_IronGates_Mesolithic
  37.  
  38. codimension 1
  39. f4info:
  40. f4rank: 2 dof: 9 chisq: 10.885 tail: 0.283690985 dofdiff: 11 chisqdiff: -10.885 taildiff: 1
  41. B:
  42. scale 1.000 1.000
  43. EHG 1.265 -0.888
  44. CHG 0.943 0.782
  45. WSHG 0.980 -0.137
  46. Onge.SG -0.829 -0.569
  47. Turkey_N 1.206 -0.340
  48. Iraq_PPNA 1.013 0.868
  49. Levant_PPN 1.052 -0.048
  50. CHN_Tarim_EMBA1 0.729 0.034
  51. Iran_GanjDareh_N 0.695 2.348
  52. Mongolia_North_N -0.562 -0.270
  53. Serbia_IronGates_Mesolithic 1.396 -1.674
  54. A:
  55. scale 79.046 294.592
  56. Paniya -0.998 -0.890
  57. IVC_25AASI_50IranN 0.349 1.003
  58. China_Xinjiang_Tangbalesayi_LBA_Andronovo 1.372 -1.096
  59.  
  60.  
  61. full rank
  62. f4info:
  63. f4rank: 3 dof: 0 chisq: 0.000 tail: 1 dofdiff: 9 chisqdiff: 10.885 taildiff: 0.283690985
  64. B:
  65. scale 74.235 181.447 57.180
  66. EHG -1.064 0.279 1.393
  67. CHG -0.947 1.638 0.863
  68. WSHG -0.899 0.688 0.993
  69. Onge.SG 0.836 -1.182 -0.734
  70. Turkey_N -1.101 0.659 1.242
  71. Iraq_PPNA -1.286 0.998 0.729
  72. Levant_PPN -0.984 0.893 1.062
  73. CHN_Tarim_EMBA1 -0.966 -0.150 0.509
  74. Iran_GanjDareh_N -1.221 1.928 0.172
  75. Mongolia_North_N 0.559 -0.628 -0.507
  76. Serbia_IronGates_Mesolithic -0.945 0.076 1.745
  77. A:
  78. scale 1.732 1.732 1.732
  79. Paniya 1.732 0.000 0.000
  80. IVC_25AASI_50IranN 0.000 1.732 0.000
  81. China_Xinjiang_Tangbalesayi_LBA_Andronovo 0.000 0.000 1.732
  82.  
  83.  
  84. best coefficients: 0.369 0.486 0.145
  85. totmean: 0.369 0.486 0.145
  86. boot mean: 0.369 0.486 0.145
  87. std. errors: 0.036 0.058 0.036
  88.  
  89. error covariance (* 1,000,000)
  90. 1284 -1687 403
  91. -1687 3365 -1678
  92. 403 -1678 1275
  93.  
  94.  
  95. summ: Brahmin_Begngal2 3 0.283691 0.369 0.486 0.145 1284 -1687 403 3365 -1678 ...
  96. 1275
  97.  
  98. fixed pat wt dof chisq tail prob
  99. 000 0 9 10.885 0.283691 0.369 0.486 0.145
  100. 001 1 10 27.211 0.00241102 0.321 0.679 0.000
  101. 010 1 10 87.931 1.37623e-14 0.613 0.000 0.387
  102. 100 1 10 101.164 3.18666e-17 0.000 1.008 -0.008 infeasible
  103. 011 2 11 383.211 0 1.000 0.000 0.000
  104. 101 2 11 101.042 1.11022e-16 0.000 1.000 0.000
  105. 110 2 11 658.086 0 0.000 0.000 1.000
  106. best pat: 000 0.283691 - -
  107. best pat: 001 0.00241102 chi(nested): 16.327 p-value for nested model: 5.33073e-05
  108. best pat: 101 1.11022e-16 chi(nested): 73.831 p-value for nested model: 8.51191e-18
  109.  
  110. coeffs: 0.369 0.486 0.145
  111.  
  112. ## dscore:: f_4(Base, Fit, Rbase, right2)
  113. ## genstat:: f_4(Base, Fit, right1, right2)
  114.  
  115. details: Paniya EHG -0.014329 -8.426560
  116. details: IVC_25AASI_50IranN EHG 0.001539 0.857303
  117. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo EHG 0.024361 12.816813
  118. dscore: EHG f4: -0.001011 Z: -0.620777
  119.  
  120. details: Paniya CHG -0.012758 -6.650350
  121. details: IVC_25AASI_50IranN CHG 0.009030 4.117579
  122. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo CHG 0.015089 6.460741
  123. dscore: CHG f4: 0.001863 Z: 0.970602
  124.  
  125. details: Paniya WSHG -0.012107 -5.986132
  126. details: IVC_25AASI_50IranN WSHG 0.003791 1.717517
  127. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo WSHG 0.017365 7.219481
  128. dscore: WSHG f4: -0.000111 Z: -0.056644
  129.  
  130. details: Paniya Onge.SG 0.011257 6.904856
  131. details: IVC_25AASI_50IranN Onge.SG -0.006515 -3.623051
  132. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Onge.SG -0.012832 -6.484184
  133. dscore: Onge.SG f4: -0.000869 Z: -0.543995
  134.  
  135. details: Paniya Turkey_N -0.014834 -10.563020
  136. details: IVC_25AASI_50IranN Turkey_N 0.003634 2.321330
  137. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Turkey_N 0.021713 12.450796
  138. dscore: Turkey_N f4: -0.000564 Z: -0.407739
  139.  
  140. details: Paniya Iraq_PPNA -0.017327 -6.985774
  141. details: IVC_25AASI_50IranN Iraq_PPNA 0.005498 2.053681
  142. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Iraq_PPNA 0.012748 4.524867
  143. dscore: Iraq_PPNA f4: -0.001879 Z: -0.772085
  144.  
  145. details: Paniya Levant_PPN -0.013252 -6.565274
  146. details: IVC_25AASI_50IranN Levant_PPN 0.004923 2.105325
  147. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Levant_PPN 0.018575 7.956620
  148. dscore: Levant_PPN f4: 0.000191 Z: 0.093255
  149.  
  150. details: Paniya CHN_Tarim_EMBA1 -0.013012 -6.749570
  151. details: IVC_25AASI_50IranN CHN_Tarim_EMBA1 -0.000825 -0.398761
  152. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo CHN_Tarim_EMBA1 0.008901 3.893592
  153. dscore: CHN_Tarim_EMBA1 f4: -0.003915 Z: -2.095645
  154.  
  155. details: Paniya Iran_GanjDareh_N -0.016448 -10.713720
  156. details: IVC_25AASI_50IranN Iran_GanjDareh_N 0.010624 6.248981
  157. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Iran_GanjDareh_N 0.003011 1.668363
  158. dscore: Iran_GanjDareh_N f4: -0.000477 Z: -0.318202
  159.  
  160. details: Paniya Mongolia_North_N 0.007532 4.532543
  161. details: IVC_25AASI_50IranN Mongolia_North_N -0.003464 -1.864743
  162. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Mongolia_North_N -0.008872 -4.418310
  163. dscore: Mongolia_North_N f4: -0.000188 Z: -0.114487
  164.  
  165. details: Paniya Serbia_IronGates_Mesolithic -0.012735 -8.122877
  166. details: IVC_25AASI_50IranN Serbia_IronGates_Mesolithic 0.000416 0.241240
  167. details: China_Xinjiang_Tangbalesayi_LBA_Andronovo Serbia_IronGates_Mesolithic 0.030514 16.496686
  168. dscore: Serbia_IronGates_Mesolithic f4: -0.000076 Z: -0.049654
  169.  
  170. gendstat: Mbuti.DG EHG -0.621
  171. gendstat: Mbuti.DG CHG 0.971
  172. gendstat: Mbuti.DG WSHG -0.057
  173. gendstat: Mbuti.DG Onge.SG -0.544
  174. gendstat: Mbuti.DG Turkey_N -0.408
  175. gendstat: Mbuti.DG Iraq_PPNA -0.772
  176. gendstat: Mbuti.DG Levant_PPN 0.093
  177. gendstat: Mbuti.DG CHN_Tarim_EMBA1 -2.096
  178. gendstat: Mbuti.DG Iran_GanjDareh_N -0.318
  179. gendstat: Mbuti.DG Mongolia_North_N -0.114
  180. gendstat: Mbuti.DG Serbia_IronGates_Mesolithic -0.050
  181. gendstat: EHG CHG 1.605
  182. gendstat: EHG WSHG 0.563
  183. gendstat: EHG Onge.SG 0.081
  184. gendstat: EHG Turkey_N 0.354
  185. gendstat: EHG Iraq_PPNA -0.357
  186. gendstat: EHG Levant_PPN 0.614
  187. gendstat: EHG CHN_Tarim_EMBA1 -1.956
  188. gendstat: EHG Iran_GanjDareh_N 0.338
  189. gendstat: EHG Mongolia_North_N 0.491
  190. gendstat: EHG Serbia_IronGates_Mesolithic 0.867
  191. gendstat: CHG WSHG -0.890
  192. gendstat: CHG Onge.SG -1.354
  193. gendstat: CHG Turkey_N -1.435
  194. gendstat: CHG Iraq_PPNA -1.461
  195. gendstat: CHG Levant_PPN -0.711
  196. gendstat: CHG CHN_Tarim_EMBA1 -2.630
  197. gendstat: CHG Iran_GanjDareh_N -1.278
  198. gendstat: CHG Mongolia_North_N -0.992
  199. gendstat: CHG Serbia_IronGates_Mesolithic -1.108
  200. gendstat: WSHG Onge.SG -0.365
  201. gendstat: WSHG Turkey_N -0.248
  202. gendstat: WSHG Iraq_PPNA -0.650
  203. gendstat: WSHG Levant_PPN 0.127
  204. gendstat: WSHG CHN_Tarim_EMBA1 -2.153
  205. gendstat: WSHG Iran_GanjDareh_N -0.184
  206. gendstat: WSHG Mongolia_North_N -0.038
  207. gendstat: WSHG Serbia_IronGates_Mesolithic 0.021
  208. gendstat: Onge.SG Turkey_N 0.192
  209. gendstat: Onge.SG Iraq_PPNA -0.392
  210. gendstat: Onge.SG Levant_PPN 0.490
  211. gendstat: Onge.SG CHN_Tarim_EMBA1 -1.543
  212. gendstat: Onge.SG Iran_GanjDareh_N 0.216
  213. gendstat: Onge.SG Mongolia_North_N 0.431
  214. gendstat: Onge.SG Serbia_IronGates_Mesolithic 0.476
  215. gendstat: Turkey_N Iraq_PPNA -0.601
  216. gendstat: Turkey_N Levant_PPN 0.463
  217. gendstat: Turkey_N CHN_Tarim_EMBA1 -1.937
  218. gendstat: Turkey_N Iran_GanjDareh_N 0.068
  219. gendstat: Turkey_N Mongolia_North_N 0.238
  220. gendstat: Turkey_N Serbia_IronGates_Mesolithic 0.457
  221. gendstat: Iraq_PPNA Levant_PPN 0.752
  222. gendstat: Iraq_PPNA CHN_Tarim_EMBA1 -0.756
  223. gendstat: Iraq_PPNA Iran_GanjDareh_N 0.577
  224. gendstat: Iraq_PPNA Mongolia_North_N 0.638
  225. gendstat: Iraq_PPNA Serbia_IronGates_Mesolithic 0.750
  226. gendstat: Levant_PPN CHN_Tarim_EMBA1 -1.867
  227. gendstat: Levant_PPN Iran_GanjDareh_N -0.334
  228. gendstat: Levant_PPN Mongolia_North_N -0.178
  229. gendstat: Levant_PPN Serbia_IronGates_Mesolithic -0.142
  230. gendstat: CHN_Tarim_EMBA1 Iran_GanjDareh_N 1.893
  231. gendstat: CHN_Tarim_EMBA1 Mongolia_North_N 2.064
  232. gendstat: CHN_Tarim_EMBA1 Serbia_IronGates_Mesolithic 2.262
  233. gendstat: Iran_GanjDareh_N Mongolia_North_N 0.165
  234. gendstat: Iran_GanjDareh_N Serbia_IronGates_Mesolithic 0.257
  235. gendstat: Mongolia_North_N Serbia_IronGates_Mesolithic 0.067
  236.  
  237. removing /tmp/fsx.395
  238. ##end of qpAdm: 3.962 seconds cpu 1.016 Mbytes in use
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