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Nov 25th, 2022
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  1. OUTGROUPS USED
  2. [1] "Ethiopia_4500BP.SG" "WSHG" "Russia_Shamanka_Eneolithic.SG" "SRB_Iron_Gates_HG" "Turkey_N"
  3. [6] "Iran_GanjDareh_N" "EHG" "CHG" "Chian_Xinjiang_Xiaohe" "Levant_PPNB"
  4. [11] "China_Tianyuan" "Xiongnu_o1"
  5.  
  6. POPS USED IN IVC: SHAHR I SOKHTA BA2 + GONUR BA2
  7.  
  8.  
  9. RUN 1###
  10. warning: solve(): system is singular (rcond: 2.40924e-17); attempting approx solution
  11. $weights
  12. # A tibble: 3 × 5
  13. target left weight se z
  14. <chr> <chr> <dbl> <dbl> <dbl>
  15. 1 Aryamsha Russia_MLBA_Sintashta 0.271 0.0292 8.91
  16. 2 Aryamsha IVC 0.644 0.0761 8.47
  17. 3 Aryamsha Irula.DG 0.0816 0.0622 1.54
  18.  
  19. $rankdrop
  20. # A tibble: 3 × 7
  21. f4rank dof chisq p dofdiff chisqdiff p_nested
  22. <int> <int> <dbl> <dbl> <int> <dbl> <dbl>
  23. 1 2 8 8.38 3.97e- 1 10 281. 1.33e-54
  24. 2 1 18 290. 6.13e-51 12 2911. 0
  25. 3 0 30 3201. 0 NA NA NA
  26.  
  27. $popdrop
  28. # A tibble: 7 × 14
  29. pat wt dof chisq p f4rank Russia_M…¹ IVC Irula…² feasi…³ best dofdiff chisq…⁴ p_nes…⁵
  30. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl> <dbl> <dbl> <dbl>
  31. 1 000 0 8 8.38 3.97e- 1 2 0.271 0.644 0.0816 TRUE NA NA NA NA
  32. 2 001 1 9 18.0 3.47e- 2 1 0.264 0.736 NA TRUE TRUE 0 -163. 1
  33. 3 010 1 9 181. 3.70e- 34 1 0.424 NA 0.576 TRUE TRUE 0 84.3 0
  34. 4 100 1 9 96.4 8.54e- 17 1 NA 1.28 -0.282 FALSE TRUE NA NA NA
  35. 5 011 2 10 1577. 0 0 1 NA NA TRUE NA NA NA NA
  36. 6 101 2 10 145. 4.36e- 26 0 NA 1 NA TRUE NA NA NA NA
  37. 7 110 2 10 727. 9.23e-150 0 NA NA 1 TRUE NA NA NA NA
  38. # … with abbreviated variable names ¹​Russia_MLBA_Sintashta, ²​Irula.DG, ³​feasible, ⁴​chisqdiff, ⁵​p_nested
  39.  
  40. RUN 2##
  41. $weights
  42. # A tibble: 3 × 5
  43. target left weight se z
  44. <chr> <chr> <dbl> <dbl> <dbl>
  45. 1 Aryamsha Russia_MLBA_Sintashta 0.279 0.0303 8.71
  46. 2 Aryamsha IVC 0.680 0.0499 13.8
  47. 3 Aryamsha ONG.SG 0.0410 0.0303 1.52
  48.  
  49. $rankdrop
  50. # A tibble: 3 × 7
  51. f4rank dof chisq p dofdiff chisqdiff p_nested
  52. <int> <int> <dbl> <dbl> <int> <dbl> <dbl>
  53. 1 2 8 8.58 3.79e- 1 10 667. 6.73e-137
  54. 2 1 18 676. 7.62e-132 12 3316. 0
  55. 3 0 30 3992. 0 NA NA NA
  56.  
  57. $popdrop
  58. # A tibble: 7 × 14
  59. pat wt dof chisq p f4rank Russia_M…¹ Indus ONG.SG feasi…² best dofdiff chisq…³ p_nes…⁴
  60. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl> <dbl> <dbl> <dbl>
  61. 1 000 0 8 8.58 3.79e- 1 2 0.279 0.680 0.0410 TRUE NA NA NA NA
  62. 2 001 1 9 17.8 3.79e- 2 1 0.256 0.744 NA TRUE TRUE 0 -400. 1
  63. 3 010 1 9 418. 1.80e- 84 1 0.631 NA 0.369 TRUE TRUE 0 311. 0
  64. 4 100 1 9 107. 5.83e- 19 1 NA 1.09 -0.0941 FALSE TRUE NA NA NA
  65. 5 011 2 10 1435. 2.50e-302 0 1 NA NA TRUE NA NA NA NA
  66. 6 101 2 10 140. 4.41e- 25 0 NA 1 NA TRUE NA NA NA NA
  67. 7 110 2 10 1817. 0 0 NA NA 1 TRUE NA NA NA NA
  68. # … with abbreviated variable names ¹​Russia_MLBA_Sintashta, ²​feasible, ³​chisqdiff, ⁴​p_nested
  69.  
  70. RUN 3##
  71.  
  72. warning: solve(): system is singular (rcond: 3.01358e-17); attempting approx solution
  73. $weights
  74. # A tibble: 3 × 5
  75. target left weight se z
  76. <chr> <chr> <dbl> <dbl> <dbl>
  77. 1 Aryamsha Kazakhstan_Kangju.SG 0.464 0.0518 8.57
  78. 2 Aryamsha IVC 0.521 0.0864 6.26
  79. 3 Aryamsha Irula.DG 0.0144 0.0611 0.235
  80.  
  81. $rankdrop
  82. # A tibble: 3 × 7
  83. f4rank dof chisq p dofdiff chisqdiff p_nested
  84. <int> <int> <dbl> <dbl> <int> <dbl> <dbl>
  85. 1 2 8 9.15 3.30e- 1 10 222. 3.21e- 42
  86. 2 1 18 232. 4.31e- 39 12 833. 1.73e-170
  87. 3 0 30 1064. 1.41e-204 NA NA NA
  88.  
  89. $popdrop
  90. # A tibble: 7 × 14
  91. pat wt dof chisq p f4rank Kazakhsta…¹ IVC Irula…² feasi…³ best dofdiff chisq…⁴ p_nes…⁵
  92. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl> <dbl> <dbl> <dbl>
  93. 1 000 0 8 9.15 3.30e- 1 2 0.464 0.521 0.0144 TRUE NA NA NA NA
  94. 2 001 1 9 18.0 3.47e- 2 1 0.439 0.561 NA TRUE TRUE 0 -73.1 1
  95. 3 010 1 9 91.2 9.41e- 16 1 0.718 NA 0.282 TRUE TRUE 0 -0.416 1
  96. 4 100 1 9 91.6 7.76e- 16 1 NA 1.27 -0.267 FALSE TRUE NA NA NA
  97. 5 011 2 10 180. 2.71e- 33 0 1 NA NA TRUE NA NA NA NA
  98. 6 101 2 10 140. 4.62e- 25 0 NA 1 NA TRUE NA NA NA NA
  99. 7 110 2 10 693. 1.63e-142 0 NA NA 1 TRUE NA NA NA NA
  100. # … with abbreviated variable names ¹​Kazakhstan_Kangju.SG, ²​Irula.DG, ³​feasible, ⁴​chisqdiff, ⁵​p_nested
  101.  
  102. RUN 4##
  103.  
  104. warning: solve(): system is singular (rcond: 1.1227e-17); attempting approx solution
  105. $weights
  106. # A tibble: 4 × 5
  107. target left weight se z
  108. <chr> <chr> <dbl> <dbl> <dbl>
  109. 1 Aryamsha Russia_MLBA_Sintashta 0.280 0.0371 6.74
  110. 2 Aryamsha IVC 0.536 0.230 2.46
  111. 3 Aryamsha Onge.SG 0.0810 0.0703 1.15
  112. 4 Aryamsha Uzbekistan_Dzharkutan_BA_1 0.103 0.184 0.562
  113.  
  114. $rankdrop
  115. # A tibble: 4 × 7
  116. f4rank dof chisq p dofdiff chisqdiff p_nested
  117. <int> <int> <dbl> <dbl> <int> <dbl> <dbl>
  118. 1 3 7 8.31 3.06e- 1 9 39.8 8.23e- 6
  119. 2 2 16 48.1 4.55e- 5 11 1376. 1.60e-288
  120. 3 1 27 1424. 1.36e-283 13 3432. 0
  121. 4 0 40 4857. 0 NA NA NA
  122.  
  123. $popdrop
  124. # A tibble: 15 × 15
  125. pat wt dof chisq p f4rank Russia_…¹ IVC Onge.SG Uzbek…² feasi…³ best dofdiff chisq…⁴
  126. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl> <dbl> <dbl>
  127. 1 0000 0 7 8.31 3.06e- 1 3 0.280 0.536 0.0810 0.103 TRUE NA NA NA
  128. 2 0001 1 8 16.4 3.74e- 2 2 0.257 0.701 0.0417 NA TRUE TRUE 0 0.945
  129. 3 0010 1 8 15.4 5.14e- 2 2 0.277 0.809 NA -0.0861 FALSE TRUE 0 -14.8
  130. 4 0100 1 8 30.2 1.96e- 4 2 0.208 NA 0.249 0.544 TRUE TRUE 0 -10.3
  131. 5 1000 1 8 40.5 2.57e- 6 2 NA -4.34 1.51 3.83 FALSE TRUE NA NA
  132. 6 0011 2 9 24.2 4.04e- 3 1 0.238 0.762 NA NA TRUE NA NA NA
  133. 7 0101 2 9 581. 2.25e-119 1 0.617 NA 0.383 NA TRUE NA NA NA
  134. 8 0110 2 9 363. 1.17e- 72 1 0.104 NA NA 0.896 TRUE NA NA NA
  135. 9 1001 2 9 117. 4.92e- 21 1 NA 1.10 -0.0963 NA FALSE NA NA NA
  136. 10 1010 2 9 138. 3.28e- 25 1 NA 0.928 NA 0.0720 TRUE NA NA NA
  137. 11 1100 2 9 136. 6.81e- 25 1 NA NA 0.237 0.763 TRUE NA NA NA
  138. 12 0111 3 10 1968. 0 0 1 NA NA NA TRUE NA NA NA
  139. 13 1011 3 10 148. 7.95e- 27 0 NA 1 NA NA TRUE NA NA NA
  140. 14 1101 3 10 1849. 0 0 NA NA 1 NA TRUE NA NA NA
  141. 15 1110 3 10 486. 3.71e- 98 0 NA NA NA 1 TRUE NA NA NA
  142. # … with 1 more variable: p_nested <dbl>, and abbreviated variable names ¹​Russia_MLBA_Sintashta,
  143. # ²​Uzbekistan_Dzharkutan_BA_1, ³​feasible, ⁴​chisqdiff
  144. # ℹ Use `colnames()` to see all variable names
  145.  
  146. RUN 5##
  147.  
  148. warning: solve(): system is singular (rcond: 4.14649e-17); attempting approx solution
  149.  
  150. warning: solve(): system is singular (rcond: 7.87587e-18); attempting approx solution
  151. $weights
  152. # A tibble: 4 × 5
  153. target left weight se z
  154. <chr> <chr> <dbl> <dbl> <dbl>
  155. 1 Aryamsha Russia_MLBA_Sintashta 0.269 0.0322 8.05
  156. 2 Aryamsha IVC 0.674 0.0513 13.3
  157. 3 Aryamsha Onge.SG 0.0761 0.0786 0.968
  158. 4 Aryamsha Nepal_Chokhopani_2800BP.SG -0.0189 0.0490 -0.386
  159.  
  160. $rankdrop
  161. # A tibble: 4 × 7
  162. f4rank dof chisq p dofdiff chisqdiff p_nested
  163. <int> <int> <dbl> <dbl> <int> <dbl> <dbl>
  164. 1 3 7 8.68 2.76e- 1 9 176. 3.65e- 33
  165. 2 2 16 185. 1.02e- 30 11 836. 3.00e-172
  166. 3 1 27 1021. 8.73e-198 13 4738. 0
  167. 4 0 40 5759. 0 NA NA NA
  168.  
  169. $popdrop
  170. # A tibble: 15 × 15
  171. pat wt dof chisq p f4rank Russia_…¹ IVC Onge.SG Nepal…² feasi…³ best dofdiff chisq…⁴
  172. <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> <lgl> <dbl> <dbl>
  173. 1 0000 0 7 8.68 2.76e- 1 3 0.269 0.674 0.0761 -0.0189 FALSE NA NA NA
  174. 2 0001 1 8 12.6 1.27e- 1 2 0.261 0.699 0.0394 NA TRUE TRUE 0 -3.09
  175. 3 0010 1 8 15.7 4.74e- 2 2 0.261 0.719 NA 0.0198 TRUE TRUE 0 -144.
  176. 4 0100 1 8 160. 1.58e- 30 2 0.160 NA 2.06 -1.22 FALSE TRUE 0 61.1
  177. 5 1000 1 8 98.9 7.01e- 18 2 NA 0.971 0.217 -0.187 FALSE TRUE NA NA
  178. 6 0011 2 9 19.5 2.16e- 2 1 0.245 0.755 NA NA TRUE NA NA NA
  179. 7 0101 2 9 506. 2.90e-103 1 0.634 NA 0.366 NA TRUE NA NA NA
  180. 8 0110 2 9 742. 5.64e-154 1 0.761 NA NA 0.239 TRUE NA NA NA
  181. 9 1001 2 9 111. 7.63e- 20 1 NA 1.10 -0.102 NA FALSE NA NA NA
  182. 10 1010 2 9 112. 5.34e- 20 1 NA 1.06 NA -0.0616 FALSE NA NA NA
  183. 11 1100 2 9 165. 6.26e- 31 1 NA NA 2.58 -1.58 FALSE NA NA NA
  184. 12 0111 3 10 1475. 7.11e-311 0 1 NA NA NA TRUE NA NA NA
  185. 13 1011 3 10 144. 5.25e- 26 0 NA 1 NA NA TRUE NA NA NA
  186. 14 1101 3 10 2193. 0 0 NA NA 1 NA TRUE NA NA NA
  187. 15 1110 3 10 3544. 0 0 NA NA NA 1 TRUE NA NA NA
  188. # … with 1 more variable: p_nested <dbl>, and abbreviated variable names ¹​Russia_MLBA_Sintashta,
  189. # ²​Nepal_Chokhopani_2800BP.SG, ³​feasible, ⁴​chisqdiff
  190. # ℹ Use `colnames()` to see all variable names
  191.  
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