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Legend_9813

Northeast models

Legend_9813
Mar 1st, 2023 (edited)
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  1. MODEL 1
  2. Target = Tripuri
  3. Left pops = Onge.DG, Turkmenistan_Gonur_BA_2, Russia_Srubnaya_Alakul.SG, Nepal_Chokhopani_2800BP.SG, Laos_BA.WGC
  4. Right pops = Mbuti.DG, EHG, CHG, Iran_GanjDareh_N, Turkey_N, Levant_PPN, Mongolia_North_N, WSHG, Serbia_IronGates_Mesolithic, China_Tianyuan, China_Upper_YR_LN, Laos_LN_BA.SG
  5.  
  6. $weights
  7. # A tibble: 5 × 5
  8. target left weight se z
  9. <chr> <chr> <dbl> <dbl> <dbl>
  10. 1 Tripuri Onge.DG 0.0846 0.0510 1.66
  11. 2 Tripuri Turkmenistan_Gonur_BA_2 0.0478 0.0296 1.61
  12. 3 Tripuri Russia_Srubnaya_Alakul.SG 0.0380 0.0184 2.06
  13. 4 Tripuri Nepal_Chokhopani_2800BP.SG 0.659 0.0356 18.5
  14. 5 Tripuri Laos_BA.WGC 0.171 0.0449 3.82
  15.  
  16. $rankdrop
  17. # A tibble: 5 × 7
  18. f4rank dof chisq p dofdiff chisqdiff p_nested
  19. <int> <int> <dbl> <dbl> <int> <dbl> <dbl>
  20. 1 4 7 9.47 2.21e- 1 9 97.7 4.60e- 17
  21. 2 3 16 107. 1.55e- 15 11 327. 1.93e- 63
  22. 3 2 27 434. 5.77e- 75 13 667. 4.20e-134
  23. 4 1 40 1101. 9.22e-205 15 9581. 0
  24. 5 0 55 10681. 0 NA NA NA
  25.  
  26. $popdrop
  27. # A tibble: 31 × 16
  28. pat wt dof chisq p f4rank Onge.DG Turkmenistan_Gonur_BA_2 Russia…¹ Nepal…² Laos_…³ feasi…⁴ best dofdiff chisq…⁵ p_nes…⁶
  29. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl> <dbl> <dbl> <dbl>
  30. 1 00000 0 7 9.47 2.21e- 1 4 0.0846 0.0478 3.80e-2 0.659 0.171 TRUE NA NA NA NA
  31. 2 00001 1 8 25.4 1.33e- 3 3 0.182 0.0138 5.12e-2 0.753 NA TRUE TRUE 0 -62.9 1
  32. 3 00010 1 8 88.3 1.02e- 15 3 -0.753 0.345 -6.80e-2 NA 1.48 FALSE TRUE 0 75.5 0
  33. 4 00100 1 8 12.8 1.19e- 1 3 0.0884 0.0882 NA 0.640 0.183 TRUE TRUE 0 1.15 0
  34. 5 01000 1 8 11.7 1.67e- 1 3 0.131 NA 5.93e-2 0.660 0.150 TRUE TRUE 0 -0.669 1
  35. 6 10000 1 8 12.3 1.37e- 1 3 NA 0.0766 3.92e-2 0.677 0.207 TRUE TRUE NA NA NA
  36. 7 00011 2 9 299. 4.37e- 59 2 1.53 -0.628 1.02e-1 NA NA FALSE NA NA NA NA
  37. 8 00101 2 9 32.4 1.69e- 4 2 0.192 0.0673 NA 0.740 NA TRUE NA NA NA NA
  38. 9 00110 2 9 89.4 2.14e- 15 2 -0.838 0.288 NA NA 1.55 FALSE NA NA NA NA
  39. 10 01001 2 9 25.3 2.68e- 3 2 0.194 NA 5.70e-2 0.749 NA TRUE NA NA NA NA
  40. 11 01010 2 9 101. 1.20e- 17 2 -0.402 NA 8.53e-2 NA 1.32 FALSE NA NA NA NA
  41. 12 01100 2 9 33.3 1.20e- 4 2 0.264 NA NA 0.605 0.131 TRUE NA NA NA NA
  42. 13 10001 2 9 38.3 1.53e- 5 2 NA 0.0802 5.95e-2 0.860 NA TRUE NA NA NA NA
  43. 14 10010 2 9 107. 5.90e- 19 2 NA 0.0883 -5.72e-2 NA 0.969 FALSE NA NA NA NA
  44. 15 10100 2 9 15.5 7.76e- 2 2 NA 0.120 NA 0.658 0.222 TRUE NA NA NA NA
  45. 16 11000 2 9 21.1 1.22e- 2 2 NA NA 9.15e-2 0.696 0.212 TRUE NA NA NA NA
  46. 17 00111 3 10 310. 1.43e- 60 1 1.47 -0.466 NA NA NA FALSE NA NA NA NA
  47. 18 01011 3 10 402. 4.01e- 80 1 1.25 NA -2.51e-1 NA NA FALSE NA NA NA NA
  48. 19 01101 3 10 43.5 3.97e- 6 1 0.315 NA NA 0.685 NA TRUE NA NA NA NA
  49. 20 01110 3 10 107. 2.17e- 18 1 -0.134 NA NA NA 1.13 FALSE NA NA NA NA
  50. 21 10011 3 10 615. 1.02e-125 1 NA 2.82 -1.82e+0 NA NA FALSE NA NA NA NA
  51. 22 10101 3 10 45.6 1.66e- 6 1 NA 0.148 NA 0.852 NA TRUE NA NA NA NA
  52. 23 10110 3 10 110. 6.36e- 19 1 NA 0.0136 NA NA 0.986 TRUE NA NA NA NA
  53. 24 11001 3 10 46.3 1.24e- 6 1 NA NA 1.15e-1 0.885 NA TRUE NA NA NA NA
  54. 25 11010 3 10 109. 7.40e- 19 1 NA NA 6.17e-4 NA 0.999 TRUE NA NA NA NA
  55. 26 11100 3 10 92.3 1.84e- 15 1 NA NA NA 0.401 0.599 TRUE NA NA NA NA
  56. 27 01111 4 11 841. 2.67e-173 0 1 NA NA NA NA TRUE NA NA NA NA
  57. 28 10111 4 11 3008. 0 0 NA 1 NA NA NA TRUE NA NA NA NA
  58. 29 11011 4 11 11072. 0 0 NA NA 1 e+0 NA NA TRUE NA NA NA NA
  59. 30 11101 4 11 177. 4.57e- 32 0 NA NA NA 1 NA TRUE NA NA NA NA
  60. 31 11110 4 11 111. 9.43e- 19 0 NA NA NA NA 1 TRUE NA NA NA NA
  61. # … with abbreviated variable names ¹​Russia_Srubnaya_Alakul.SG, ²​Nepal_Chokhopani_2800BP.SG, ³​Laos_BA.WGC, ⁴​feasible, ⁵​chisqdiff, ⁶​p_nested
  62.  
  63.  
  64. MODEL 2
  65. Target = Brahmin_Manipur
  66. Left pops = Onge.DG, Turkmenistan_Gonur_BA_2, Russia_Srubnaya_Alakul.SG, Nepal_Chokhopani_2800BP.SG, Laos_BA.WGC
  67. Right pops = Mbuti.DG, EHG, CHG, Iran_GanjDareh_N, Turkey_N, Levant_PPN, Mongolia_North_N, WSHG, Serbia_IronGates_Mesolithic, China_Tianyuan, China_Upper_YR_LN, Laos_LN_BA.SG
  68.  
  69. $weights
  70. # A tibble: 5 × 5
  71. target left weight se z
  72. <chr> <chr> <dbl> <dbl> <dbl>
  73. 1 Brahmin_Manipur Onge.DG 0.130 0.0398 3.26
  74. 2 Brahmin_Manipur Turkmenistan_Gonur_BA_2 0.203 0.0242 8.38
  75. 3 Brahmin_Manipur Russia_Srubnaya_Alakul.SG 0.107 0.0155 6.88
  76. 4 Brahmin_Manipur Nepal_Chokhopani_2800BP.SG 0.478 0.0291 16.5
  77. 5 Brahmin_Manipur Laos_BA.WGC 0.0823 0.0349 2.36
  78.  
  79. $rankdrop
  80. # A tibble: 5 × 7
  81. f4rank dof chisq p dofdiff chisqdiff p_nested
  82. <int> <int> <dbl> <dbl> <int> <dbl> <dbl>
  83. 1 4 7 6.51 4.82e- 1 9 100. 1.55e- 17
  84. 2 3 16 107. 2.03e- 15 11 353. 5.11e- 69
  85. 3 2 27 460. 3.02e- 80 13 613. 1.16e-122
  86. 4 1 40 1073. 6.32e-199 15 8404. 0
  87. 5 0 55 9477. 0 NA NA NA
  88.  
  89. $popdrop
  90. # A tibble: 31 × 16
  91. pat wt dof chisq p f4rank Onge.DG Turkmenistan_Gonur_BA_2 Russia_…¹ Nepal…² Laos_…³ feasi…⁴ best dofdiff chisq…⁵ p_nes…⁶
  92. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl> <dbl> <dbl> <dbl>
  93. 1 00000 0 7 6.51 4.82e- 1 4 0.130 0.203 0.107 0.478 0.0823 TRUE NA NA NA NA
  94. 2 00001 1 8 12.5 1.28e- 1 3 0.176 0.186 0.114 0.524 NA TRUE TRUE 0 -79.8 1
  95. 3 00010 1 8 92.3 1.56e- 16 3 -0.485 0.484 -0.0113 NA 1.01 FALSE TRUE 0 44.1 0
  96. 4 00100 1 8 48.2 8.88e- 8 3 0.0725 0.342 NA 0.426 0.160 TRUE TRUE 0 -27.3 1
  97. 5 01000 1 8 75.6 3.81e- 13 3 0.393 NA 0.196 0.586 -0.175 FALSE TRUE 0 59.3 0
  98. 6 10000 1 8 16.3 3.85e- 2 3 NA 0.249 0.106 0.508 0.137 TRUE TRUE NA NA NA
  99. 7 00011 2 9 305. 2.57e- 60 2 1.00 -0.0119 0.00922 NA NA FALSE NA NA NA NA
  100. 8 00101 2 9 62.3 4.77e- 10 2 0.165 0.321 NA 0.514 NA TRUE NA NA NA NA
  101. 9 00110 2 9 92.4 5.32e- 16 2 -0.501 0.477 NA NA 1.02 FALSE NA NA NA NA
  102. 10 01001 2 9 89.5 2.01e- 15 2 0.302 NA 0.202 0.496 NA TRUE NA NA NA NA
  103. 11 01010 2 9 143. 2.64e- 26 2 -0.366 NA 0.272 NA 1.09 FALSE NA NA NA NA
  104. 12 01100 2 9 114. 1.78e- 20 2 1.74 NA NA 1.55 -2.28 FALSE NA NA NA NA
  105. 13 10001 2 9 32.1 1.93e- 4 2 NA 0.248 0.121 0.630 NA TRUE NA NA NA NA
  106. 14 10010 2 9 108. 4.59e- 19 2 NA 0.309 0.00166 NA 0.689 TRUE NA NA NA NA
  107. 15 10100 2 9 51.0 7.13e- 8 2 NA 0.368 NA 0.434 0.198 TRUE NA NA NA NA
  108. 16 11000 2 9 138. 2.25e- 25 2 NA NA 0.399 1.50 -0.897 FALSE NA NA NA NA
  109. 17 00111 3 10 311. 8.99e- 61 1 1.00 -0.00281 NA NA NA FALSE NA NA NA NA
  110. 18 01011 3 10 311. 6.67e- 61 1 0.997 NA 0.00255 NA NA TRUE NA NA NA NA
  111. 19 01101 3 10 291. 1.57e- 56 1 0.868 NA NA 0.132 NA TRUE NA NA NA NA
  112. 20 01110 3 10 266. 2.05e- 51 1 1.96 NA NA NA -0.955 FALSE NA NA NA NA
  113. 21 10011 3 10 534. 1.96e-108 1 NA 2.15 -1.15 NA NA FALSE NA NA NA NA
  114. 22 10101 3 10 73.5 9.30e- 12 1 NA 0.390 NA 0.610 NA TRUE NA NA NA NA
  115. 23 10110 3 10 108. 1.34e- 18 1 NA 0.310 NA NA 0.690 TRUE NA NA NA NA
  116. 24 11001 3 10 154. 4.97e- 28 1 NA NA 0.288 0.712 NA TRUE NA NA NA NA
  117. 25 11010 3 10 151. 2.78e- 27 1 NA NA 0.197 NA 0.803 TRUE NA NA NA NA
  118. 26 11100 3 10 143. 1.00e- 25 1 NA NA NA -1.48 2.48 FALSE NA NA NA NA
  119. 27 01111 4 11 316. 3.96e- 61 0 1 NA NA NA NA TRUE NA NA NA NA
  120. 28 10111 4 11 1610. 0 0 NA 1 NA NA NA TRUE NA NA NA NA
  121. 29 11011 4 11 8332. 0 0 NA NA 1 NA NA TRUE NA NA NA NA
  122. 30 11101 4 11 895. 6.67e-185 0 NA NA NA 1 NA TRUE NA NA NA NA
  123. 31 11110 4 11 275. 1.98e- 52 0 NA NA NA NA 1 TRUE NA NA NA NA
  124. # … with abbreviated variable names ¹​Russia_Srubnaya_Alakul.SG, ²​Nepal_Chokhopani_2800BP.SG, ³​Laos_BA.WGC, ⁴​feasible, ⁵​chisqdiff, ⁶​p_nested
  125.  
  126.  
  127.  
  128. MODEL 3
  129. Target = Brahmin_Assam
  130. Left pops = Onge.DG, Turkmenistan_Gonur_BA_2, Russia_Srubnaya_Alakul.SG
  131. Right pops = Mbuti.DG, EHG, CHG, Iran_GanjDareh_N, Turkey_N, Levant_PPN, Mongolia_North_N, WSHG, Serbia_IronGates_Mesolithic, China_Tianyuan, China_Upper_YR_LN, Laos_LN_BA.SG
  132.  
  133. $weights
  134. # A tibble: 3 × 5
  135. target left weight se z
  136. <chr> <chr> <dbl> <dbl> <dbl>
  137. 1 Brahmin_Assam Onge.DG 0.296 0.0328 9.02
  138. 2 Brahmin_Assam Turkmenistan_Gonur_BA_2 0.558 0.0616 9.06
  139. 3 Brahmin_Assam Russia_Srubnaya_Alakul.SG 0.146 0.0425 3.44
  140.  
  141. $rankdrop
  142. # A tibble: 3 × 7
  143. f4rank dof chisq p dofdiff chisqdiff p_nested
  144. <int> <int> <dbl> <dbl> <int> <dbl> <dbl>
  145. 1 2 9 5.86 7.54e- 1 11 253. 6.41e-48
  146. 2 1 20 259. 1.81e-43 13 2770. 0
  147. 3 0 33 3029. 0 NA NA NA
  148.  
  149. $popdrop
  150. # A tibble: 7 × 14
  151. pat wt dof chisq p f4rank Onge.DG Turkmenistan_Gonur_BA_2 Russia_Srubnaya_Alakul.SG feasible best dofdiff chisq…¹ p_nes…²
  152. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl> <dbl> <dbl> <dbl>
  153. 1 000 0 9 5.86 7.54e- 1 2 0.296 0.558 0.146 TRUE NA NA NA NA
  154. 2 001 1 10 20.3 2.63e- 2 1 0.249 0.751 NA TRUE TRUE 0 -136. 1
  155. 3 010 1 10 156. 2.29e- 28 1 0.547 NA 0.453 TRUE TRUE 0 100. 0
  156. 4 100 1 10 55.5 2.51e- 8 1 NA 1.08 -0.0759 FALSE TRUE NA NA NA
  157. 5 011 2 11 886. 4.98e-183 0 1 NA NA TRUE NA NA NA NA
  158. 6 101 2 11 62.0 3.94e- 9 0 NA 1 NA TRUE NA NA NA NA
  159. 7 110 2 11 1436. 1.80e-301 0 NA NA 1 TRUE NA NA NA NA
  160. # … with abbreviated variable names ¹​chisqdiff, ²​p_nested
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