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  1. > summary(modelo.spmi)
  2.  
  3. Call:
  4. glm(formula = count ~ -1 + W:Y + wi %in% W:Y + yj %in% W:Y, family = poisson(link = log),
  5.     data = model.data)
  6.  
  7. Deviance Residuals:
  8.      Min        1Q    Median        3Q       Max  
  9. -11.7301   -2.2157   -0.0019    2.4841    9.7258  
  10.  
  11. Coefficients:
  12.                              Estimate      RS SE z value  Pr(>|z|)    
  13. WansMRCV1.1:YansMRCV2.1     2.1702784  0.1218212  17.815   < 2e-16 ***
  14. WansMRCV1.2:YansMRCV2.1     5.2388368  0.0549085  95.410   < 2e-16 ***
  15. WansMRCV1.3:YansMRCV2.1     5.6394053  0.0520939 108.255   < 2e-16 ***
  16. WansMRCV1.4:YansMRCV2.1     5.1730511  0.0540114  95.777   < 2e-16 ***
  17. WansMRCV1.1:YansMRCV2.2     3.8316044  0.1047455  36.580   < 2e-16 ***
  18. WansMRCV1.2:YansMRCV2.2     6.9001627  0.0237448 290.597   < 2e-16 ***
  19. WansMRCV1.3:YansMRCV2.2     7.3007312  0.0202752 360.081   < 2e-16 ***
  20. WansMRCV1.4:YansMRCV2.2     6.8343770  0.0242338 282.019   < 2e-16 ***
  21. WansMRCV1.1:YansMRCV2.3     0.6605192  0.1602399   4.122 0.0000375 ***
  22. WansMRCV1.2:YansMRCV2.3     3.7290776  0.1143503  32.611   < 2e-16 ***
  23. WansMRCV1.3:YansMRCV2.3     4.1296461  0.1128318  36.600   < 2e-16 ***
  24. WansMRCV1.4:YansMRCV2.3     3.6632918  0.1142630  32.060   < 2e-16 ***
  25. WansMRCV1.1:YansMRCV2.4     3.0204051  0.1095504  27.571   < 2e-16 ***
  26. WansMRCV1.2:YansMRCV2.4     6.0889635  0.0359033 169.594   < 2e-16 ***
  27. WansMRCV1.3:YansMRCV2.4     6.4895320  0.0317723 204.251   < 2e-16 ***
  28. WansMRCV1.4:YansMRCV2.4     6.0231778  0.0367882 163.726   < 2e-16 ***
  29. WansMRCV1.1:YansMRCV2.1:wi  3.6710586  0.1055755  34.772   < 2e-16 ***
  30. WansMRCV1.2:YansMRCV2.1:wi -0.1356270  0.0329243  -4.119 0.0000380 ***
  31. WansMRCV1.3:YansMRCV2.1:wi -1.3668502  0.0408233 -33.482   < 2e-16 ***
  32. WansMRCV1.4:YansMRCV2.1:wi  0.0005395  0.0328487   0.016     0.987    
  33. WansMRCV1.1:YansMRCV2.2:wi  3.6710586  0.1055755  34.772   < 2e-16 ***
  34. WansMRCV1.2:YansMRCV2.2:wi -0.1356270  0.0329243  -4.119 0.0000380 ***
  35. WansMRCV1.3:YansMRCV2.2:wi -1.3668502  0.0408233 -33.482   < 2e-16 ***
  36. WansMRCV1.4:YansMRCV2.2:wi  0.0005395  0.0328487   0.016     0.987    
  37. WansMRCV1.1:YansMRCV2.3:wi  3.6710586  0.1055755  34.772   < 2e-16 ***
  38. WansMRCV1.2:YansMRCV2.3:wi -0.1356270  0.0329243  -4.119 0.0000380 ***
  39. WansMRCV1.3:YansMRCV2.3:wi -1.3668502  0.0408233 -33.482   < 2e-16 ***
  40. WansMRCV1.4:YansMRCV2.3:wi  0.0005395  0.0328487   0.016     0.987    
  41. WansMRCV1.1:YansMRCV2.4:wi  3.6710586  0.1055755  34.772   < 2e-16 ***
  42. WansMRCV1.2:YansMRCV2.4:wi -0.1356270  0.0329243  -4.119 0.0000380 ***
  43. WansMRCV1.3:YansMRCV2.4:wi -1.3668502  0.0408233 -33.482   < 2e-16 ***
  44. WansMRCV1.4:YansMRCV2.4:wi  0.0005395  0.0328487   0.016     0.987    
  45. WansMRCV1.1:YansMRCV2.1:yj  2.2514409  0.0559555  40.236   < 2e-16 ***
  46. WansMRCV1.2:YansMRCV2.1:yj  2.2514409  0.0559555  40.236   < 2e-16 ***
  47. WansMRCV1.3:YansMRCV2.1:yj  2.2514409  0.0559555  40.236   < 2e-16 ***
  48. WansMRCV1.4:YansMRCV2.1:yj  2.2514409  0.0559555  40.236   < 2e-16 ***
  49. WansMRCV1.1:YansMRCV2.2:yj -0.0059347  0.0328489  -0.181     0.857    
  50. WansMRCV1.2:YansMRCV2.2:yj -0.0059347  0.0328489  -0.181     0.857    
  51. WansMRCV1.3:YansMRCV2.2:yj -0.0059347  0.0328489  -0.181     0.857    
  52. WansMRCV1.4:YansMRCV2.2:yj -0.0059347  0.0328489  -0.181     0.857    
  53. WansMRCV1.1:YansMRCV2.3:yj  3.8400036  0.1144381  33.555   < 2e-16 ***
  54. WansMRCV1.2:YansMRCV2.3:yj  3.8400036  0.1144381  33.555   < 2e-16 ***
  55. WansMRCV1.3:YansMRCV2.3:yj  3.8400036  0.1144381  33.555   < 2e-16 ***
  56. WansMRCV1.4:YansMRCV2.3:yj  3.8400036  0.1144381  33.555   < 2e-16 ***
  57. WansMRCV1.1:YansMRCV2.4:yj  1.2492980  0.0394684  31.653   < 2e-16 ***
  58. WansMRCV1.2:YansMRCV2.4:yj  1.2492980  0.0394684  31.653   < 2e-16 ***
  59. WansMRCV1.3:YansMRCV2.4:yj  1.2492980  0.0394684  31.653   < 2e-16 ***
  60. WansMRCV1.4:YansMRCV2.4:yj  1.2492980  0.0394684  31.653   < 2e-16 ***
  61. ---
  62. Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  63.  
  64. (Dispersion parameter for poisson family taken to be 1)
  65.  
  66.         Null deviance: 749049.38    Residual deviance:    794.31
  67.         Number of Fisher Scoring iterations: 5
  68.  
  69. > summary(modelo.homogeneo)
  70.  
  71. Call:
  72. glm(formula = count ~ -1 + W:Y + wi %in% W:Y + yj %in% W:Y +
  73.     wi:yj, family = poisson(link = log), data = model.data)
  74.  
  75. Deviance Residuals:
  76.     Min       1Q   Median       3Q      Max  
  77. -6.8445  -0.8966  -0.0044   0.7488   5.3983  
  78.  
  79. Coefficients:
  80.                            Estimate    RS SE z value Pr(>|z|)    
  81. WansMRCV1.1:YansMRCV2.1     2.72652  0.12347  22.083  < 2e-16 ***
  82. WansMRCV1.2:YansMRCV2.1     5.47463  0.05448 100.483  < 2e-16 ***
  83. WansMRCV1.3:YansMRCV2.1     5.73638  0.05167 111.029  < 2e-16 ***
  84. WansMRCV1.4:YansMRCV2.1     5.42800  0.05400 100.509  < 2e-16 ***
  85. WansMRCV1.1:YansMRCV2.2     4.10140  0.10444  39.271  < 2e-16 ***
  86. WansMRCV1.2:YansMRCV2.2     7.04144  0.02177 323.432  < 2e-16 ***
  87. WansMRCV1.3:YansMRCV2.2     7.36421  0.01864 395.161  < 2e-16 ***
  88. WansMRCV1.4:YansMRCV2.2     6.98522  0.02220 314.649  < 2e-16 ***
  89. WansMRCV1.1:YansMRCV2.3     1.27841  0.16479   7.758 8.66e-15 ***
  90. WansMRCV1.2:YansMRCV2.3     3.97980  0.11525  34.531  < 2e-16 ***
  91. WansMRCV1.3:YansMRCV2.3     4.23149  0.11303  37.436  < 2e-16 ***
  92. WansMRCV1.4:YansMRCV2.3     3.93492  0.11539  34.100  < 2e-16 ***
  93. WansMRCV1.1:YansMRCV2.4     3.47815  0.10965  31.721  < 2e-16 ***
  94. WansMRCV1.2:YansMRCV2.4     6.29738  0.03411 184.601  < 2e-16 ***
  95. WansMRCV1.3:YansMRCV2.4     6.57732  0.03090 212.851  < 2e-16 ***
  96. WansMRCV1.4:YansMRCV2.4     6.24771  0.03483 179.379  < 2e-16 ***
  97. wi:yj                       0.65891  0.03569  18.463  < 2e-16 ***
  98. WansMRCV1.1:YansMRCV2.1:wi  3.09570  0.11002  28.138  < 2e-16 ***
  99. WansMRCV1.2:YansMRCV2.1:wi -0.73460  0.04626 -15.881  < 2e-16 ***
  100. WansMRCV1.3:YansMRCV2.1:wi -1.97380  0.05196 -37.986  < 2e-16 ***
  101. WansMRCV1.4:YansMRCV2.1:wi -0.59724  0.04579 -13.044  < 2e-16 ***
  102. WansMRCV1.1:YansMRCV2.2:wi  3.39335  0.10686  31.754  < 2e-16 ***
  103. WansMRCV1.2:YansMRCV2.2:wi -0.46779  0.03823 -12.238  < 2e-16 ***
  104. WansMRCV1.3:YansMRCV2.2:wi -1.72753  0.04512 -38.286  < 2e-16 ***
  105. WansMRCV1.4:YansMRCV2.2:wi -0.32790  0.03775  -8.686  < 2e-16 ***
  106. WansMRCV1.1:YansMRCV2.3:wi  3.03117  0.11170  27.138  < 2e-16 ***
  107. WansMRCV1.2:YansMRCV2.3:wi -0.78140  0.04802 -16.272  < 2e-16 ***
  108. WansMRCV1.3:YansMRCV2.3:wi -2.01445  0.05314 -37.908  < 2e-16 ***
  109. WansMRCV1.4:YansMRCV2.3:wi -0.64495  0.04742 -13.600  < 2e-16 ***
  110. WansMRCV1.1:YansMRCV2.4:wi  3.19842  0.10877  29.406  < 2e-16 ***
  111. WansMRCV1.2:YansMRCV2.4:wi -0.65245  0.04382 -14.890  < 2e-16 ***
  112. WansMRCV1.3:YansMRCV2.4:wi -1.90088  0.05060 -37.569  < 2e-16 ***
  113. WansMRCV1.4:YansMRCV2.4:wi -0.51380  0.04304 -11.939  < 2e-16 ***
  114. WansMRCV1.1:YansMRCV2.1:yj  1.61364  0.06884  23.441  < 2e-16 ***
  115. WansMRCV1.2:YansMRCV2.1:yj  1.98726  0.05864  33.889  < 2e-16 ***
  116. WansMRCV1.3:YansMRCV2.1:yj  2.14369  0.05670  37.810  < 2e-16 ***
  117. WansMRCV1.4:YansMRCV2.1:yj  1.96545  0.05950  33.032  < 2e-16 ***
  118. WansMRCV1.1:YansMRCV2.2:yj -0.64903  0.04871 -13.323  < 2e-16 ***
  119. WansMRCV1.2:YansMRCV2.2:yj -0.31284  0.03789  -8.257 2.22e-16 ***
  120. WansMRCV1.3:YansMRCV2.2:yj -0.13762  0.03347  -4.112 3.93e-05 ***
  121. WansMRCV1.4:YansMRCV2.2:yj -0.33564  0.03870  -8.674  < 2e-16 ***
  122. WansMRCV1.1:YansMRCV2.3:yj  3.20357  0.12457  25.717  < 2e-16 ***
  123. WansMRCV1.2:YansMRCV2.3:yj  3.58313  0.11678  30.683  < 2e-16 ***
  124. WansMRCV1.3:YansMRCV2.3:yj  3.73585  0.11518  32.435  < 2e-16 ***
  125. WansMRCV1.4:YansMRCV2.3:yj  3.56164  0.11719  30.392  < 2e-16 ***
  126. WansMRCV1.1:YansMRCV2.4:yj  0.60950  0.05270  11.565  < 2e-16 ***
  127. WansMRCV1.2:YansMRCV2.4:yj  0.97213  0.04222  23.027  < 2e-16 ***
  128. WansMRCV1.3:YansMRCV2.4:yj  1.13485  0.04044  28.064  < 2e-16 ***
  129. WansMRCV1.4:YansMRCV2.4:yj  0.94986  0.04258  22.309  < 2e-16 ***
  130. ---
  131. Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  132.  
  133. (Dispersion parameter for poisson family taken to be 1)
  134.  
  135.         Null deviance: 749049.38    Residual deviance:    234.34
  136.         Number of Fisher Scoring iterations: 4
  137.  
  138. > summary(modelo.wmain)
  139.  
  140. Call:
  141. glm(formula = count ~ -1 + W:Y + wi %in% W:Y + yj %in% W:Y +
  142.     wi:yj + wi:yj %in% W, family = poisson(link = log), data = model.data)
  143.  
  144. Deviance Residuals:
  145.     Min       1Q   Median       3Q      Max  
  146. -4.7331  -0.8568   0.0058   0.8305   7.5585  
  147.  
  148. Coefficients:
  149.                            Estimate    RS SE z value Pr(>|z|)    
  150. WansMRCV1.1:YansMRCV2.1     3.09768  0.17924  17.283  < 2e-16 ***
  151. WansMRCV1.2:YansMRCV2.1     5.46537  0.05647  96.789  < 2e-16 ***
  152. WansMRCV1.3:YansMRCV2.1     5.76351  0.05161 111.678  < 2e-16 ***
  153. WansMRCV1.4:YansMRCV2.1     5.37055  0.05525  97.206  < 2e-16 ***
  154. WansMRCV1.1:YansMRCV2.2     4.24102  0.11201  37.862  < 2e-16 ***
  155. WansMRCV1.2:YansMRCV2.2     7.03534  0.02312 304.290  < 2e-16 ***
  156. WansMRCV1.3:YansMRCV2.2     7.38702  0.01902 388.302  < 2e-16 ***
  157. WansMRCV1.4:YansMRCV2.2     6.94902  0.02451 283.500  < 2e-16 ***
  158. WansMRCV1.1:YansMRCV2.3     1.71602  0.23234   7.386 1.52e-13 ***
  159. WansMRCV1.2:YansMRCV2.3     3.97017  0.11586  34.267  < 2e-16 ***
  160. WansMRCV1.3:YansMRCV2.3     4.25878  0.11294  37.707  < 2e-16 ***
  161. WansMRCV1.4:YansMRCV2.3     3.87465  0.11625  33.331  < 2e-16 ***
  162. WansMRCV1.1:YansMRCV2.4     3.75682  0.14197  26.462  < 2e-16 ***
  163. WansMRCV1.2:YansMRCV2.4     6.28890  0.03597 174.821  < 2e-16 ***
  164. WansMRCV1.3:YansMRCV2.4     6.60384  0.03045 216.859  < 2e-16 ***
  165. WansMRCV1.4:YansMRCV2.4     6.19588  0.03865 160.303  < 2e-16 ***
  166. wi:yj                       1.14647  0.18652   6.147 7.92e-10 ***
  167. WansMRCV1.1:YansMRCV2.1:wi  2.70399  0.17636  15.332  < 2e-16 ***
  168. WansMRCV1.2:YansMRCV2.1:wi -0.70631  0.05770 -12.241  < 2e-16 ***
  169. WansMRCV1.3:YansMRCV2.1:wi -2.22156  0.08150 -27.259  < 2e-16 ***
  170. WansMRCV1.4:YansMRCV2.1:wi -0.44315  0.05801  -7.639 2.20e-14 ***
  171. WansMRCV1.1:YansMRCV2.2:wi  3.24868  0.11576  28.064  < 2e-16 ***
  172. WansMRCV1.2:YansMRCV2.2:wi -0.45204  0.04267 -10.593  < 2e-16 ***
  173. WansMRCV1.3:YansMRCV2.2:wi -1.88938  0.06228 -30.334  < 2e-16 ***
  174. WansMRCV1.4:YansMRCV2.2:wi -0.24354  0.04225  -5.764 8.21e-09 ***
  175. WansMRCV1.1:YansMRCV2.3:wi  2.56671  0.20390  12.588  < 2e-16 ***
  176. WansMRCV1.2:YansMRCV2.3:wi -0.75105  0.06080 -12.352  < 2e-16 ***
  177. WansMRCV1.3:YansMRCV2.3:wi -2.27417  0.08413 -27.033  < 2e-16 ***
  178. WansMRCV1.4:YansMRCV2.3:wi -0.47899  0.06098  -7.854 4.00e-15 ***
  179. WansMRCV1.1:YansMRCV2.4:wi  2.90655  0.14626  19.872  < 2e-16 ***
  180. WansMRCV1.2:YansMRCV2.4:wi -0.62790  0.05303 -11.840  < 2e-16 ***
  181. WansMRCV1.3:YansMRCV2.4:wi -2.12566  0.07749 -27.431  < 2e-16 ***
  182. WansMRCV1.4:YansMRCV2.4:wi -0.38093  0.05246  -7.261 3.85e-13 ***
  183. WansMRCV1.1:YansMRCV2.1:yj  1.14872  0.19077   6.021 1.73e-09 ***
  184. WansMRCV1.2:YansMRCV2.1:yj  1.99778  0.06093  32.790  < 2e-16 ***
  185. WansMRCV1.3:YansMRCV2.1:yj  2.11333  0.05697  37.099  < 2e-16 ***
  186. WansMRCV1.4:YansMRCV2.1:yj  2.03070  0.06004  33.821  < 2e-16 ***
  187. WansMRCV1.1:YansMRCV2.2:yj -1.12658  0.18671  -6.034 1.60e-09 ***
  188. WansMRCV1.2:YansMRCV2.2:yj -0.29847  0.04178  -7.144 9.09e-13 ***
  189. WansMRCV1.3:YansMRCV2.2:yj -0.18726  0.03613  -5.183 2.18e-07 ***
  190. WansMRCV1.4:YansMRCV2.2:yj -0.25091  0.04253  -5.899 3.65e-09 ***
  191. WansMRCV1.1:YansMRCV2.3:yj  2.74341  0.21849  12.556  < 2e-16 ***
  192. WansMRCV1.2:YansMRCV2.3:yj  3.59303  0.11737  30.612  < 2e-16 ***
  193. WansMRCV1.3:YansMRCV2.3:yj  3.70790  0.11523  32.179  < 2e-16 ***
  194. WansMRCV1.4:YansMRCV2.3:yj  3.62358  0.11768  30.793  < 2e-16 ***
  195. WansMRCV1.1:YansMRCV2.4:yj  0.13883  0.18486   0.751 0.452662    
  196. WansMRCV1.2:YansMRCV2.4:yj  0.98380  0.04489  21.914  < 2e-16 ***
  197. WansMRCV1.3:YansMRCV2.4:yj  1.09965  0.04047  27.171  < 2e-16 ***
  198. WansMRCV1.4:YansMRCV2.4:yj  1.02103  0.04685  21.793  < 2e-16 ***
  199. WansMRCV1.2:wi:yj          -0.51848  0.18985  -2.731 0.006314 **
  200. WansMRCV1.3:wi:yj          -0.22463  0.20060  -1.120 0.262805    
  201. WansMRCV1.4:wi:yj          -0.65683  0.19768  -3.323 0.000892 ***
  202. ---
  203. Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  204.  
  205. (Dispersion parameter for poisson family taken to be 1)
  206.  
  207.         Null deviance: 749049.38    Residual deviance:    189.23
  208.         Number of Fisher Scoring iterations: 4
  209.  
  210. > summary(modelo.ymain)
  211.  
  212. Call:
  213. glm(formula = count ~ -1 + W:Y + wi %in% W:Y + yj %in% W:Y +
  214.     wi:yj + wi:yj %in% Y, family = poisson(link = log), data = model.data)
  215.  
  216. Deviance Residuals:
  217.     Min       1Q   Median       3Q      Max  
  218. -6.9147  -0.8710   0.0001   0.7893   4.7927  
  219.  
  220. Coefficients:
  221.                            Estimate    RS SE z value Pr(>|z|)    
  222. WansMRCV1.1:YansMRCV2.1     2.88025  0.13424  21.456  < 2e-16 ***
  223. WansMRCV1.2:YansMRCV2.1     5.52942  0.05530  99.986  < 2e-16 ***
  224. WansMRCV1.3:YansMRCV2.1     5.75711  0.05136 112.099  < 2e-16 ***
  225. WansMRCV1.4:YansMRCV2.1     5.48791  0.05538  99.103  < 2e-16 ***
  226. WansMRCV1.1:YansMRCV2.2     4.09840  0.10377  39.495  < 2e-16 ***
  227. WansMRCV1.2:YansMRCV2.2     7.03968  0.02232 315.463  < 2e-16 ***
  228. WansMRCV1.3:YansMRCV2.2     7.36341  0.01865 394.764  < 2e-16 ***
  229. WansMRCV1.4:YansMRCV2.2     6.98335  0.02286 305.527  < 2e-16 ***
  230. WansMRCV1.1:YansMRCV2.3     1.92531  0.22975   8.380  < 2e-16 ***
  231. WansMRCV1.2:YansMRCV2.3     4.15537  0.11768  35.310  < 2e-16 ***
  232. WansMRCV1.3:YansMRCV2.3     4.29397  0.11268  38.109  < 2e-16 ***
  233. WansMRCV1.4:YansMRCV2.3     4.12891  0.11896  34.709  < 2e-16 ***
  234. WansMRCV1.1:YansMRCV2.4     3.38307  0.11373  29.746  < 2e-16 ***
  235. WansMRCV1.2:YansMRCV2.4     6.25570  0.03683 169.867  < 2e-16 ***
  236. WansMRCV1.3:YansMRCV2.4     6.56036  0.03154 207.989  < 2e-16 ***
  237. WansMRCV1.4:YansMRCV2.4     6.20262  0.03779 164.151  < 2e-16 ***
  238. wi:yj                       0.85461  0.07673  11.138  < 2e-16 ***
  239. WansMRCV1.1:YansMRCV2.1:wi  2.93442  0.12640  23.216  < 2e-16 ***
  240. WansMRCV1.2:YansMRCV2.1:wi -0.91426  0.07716 -11.848  < 2e-16 ***
  241. WansMRCV1.3:YansMRCV2.1:wi -2.15794  0.08196 -26.330  < 2e-16 ***
  242. WansMRCV1.4:YansMRCV2.1:wi -0.77615  0.07722 -10.052  < 2e-16 ***
  243. WansMRCV1.1:YansMRCV2.2:wi  3.39645  0.10618  31.988  < 2e-16 ***
  244. WansMRCV1.2:YansMRCV2.2:wi -0.46325  0.04042 -11.461  < 2e-16 ***
  245. WansMRCV1.3:YansMRCV2.2:wi -1.72222  0.04583 -37.577  < 2e-16 ***
  246. WansMRCV1.4:YansMRCV2.2:wi -0.32346  0.04004  -8.078 6.66e-16 ***
  247. WansMRCV1.1:YansMRCV2.3:wi  2.33938  0.21733  10.764  < 2e-16 ***
  248. WansMRCV1.2:YansMRCV2.3:wi -1.50040  0.19975  -7.512 5.84e-14 ***
  249. WansMRCV1.3:YansMRCV2.3:wi -2.73732  0.20171 -13.571  < 2e-16 ***
  250. WansMRCV1.4:YansMRCV2.3:wi -1.36324  0.20048  -6.800 1.05e-11 ***
  251. WansMRCV1.1:YansMRCV2.4:wi  3.29720  0.11257  29.292  < 2e-16 ***
  252. WansMRCV1.2:YansMRCV2.4:wi -0.53530  0.05474  -9.778  < 2e-16 ***
  253. WansMRCV1.3:YansMRCV2.4:wi -1.77723  0.06359 -27.950  < 2e-16 ***
  254. WansMRCV1.4:YansMRCV2.4:wi -0.39762  0.05353  -7.429 1.10e-13 ***
  255. WansMRCV1.1:YansMRCV2.1:yj  1.42626  0.09155  15.578  < 2e-16 ***
  256. WansMRCV1.2:YansMRCV2.1:yj  1.92473  0.06071  31.704  < 2e-16 ***
  257. WansMRCV1.3:YansMRCV2.1:yj  2.12050  0.05665  37.429  < 2e-16 ***
  258. WansMRCV1.4:YansMRCV2.1:yj  1.89685  0.06220  30.498  < 2e-16 ***
  259. WansMRCV1.1:YansMRCV2.2:yj -0.64031  0.05414 -11.827  < 2e-16 ***
  260. WansMRCV1.2:YansMRCV2.2:yj -0.30869  0.03932  -7.851 4.22e-15 ***
  261. WansMRCV1.3:YansMRCV2.2:yj -0.13589  0.03377  -4.024 5.72e-05 ***
  262. WansMRCV1.4:YansMRCV2.2:yj -0.33118  0.04032  -8.214 2.22e-16 ***
  263. WansMRCV1.1:YansMRCV2.3:yj  2.51902  0.21505  11.714  < 2e-16 ***
  264. WansMRCV1.2:YansMRCV2.3:yj  3.40222  0.12055  28.223  < 2e-16 ***
  265. WansMRCV1.3:YansMRCV2.3:yj  3.67183  0.11517  31.882  < 2e-16 ***
  266. WansMRCV1.4:YansMRCV2.3:yj  3.36156  0.12210  27.530  < 2e-16 ***
  267. WansMRCV1.1:YansMRCV2.4:yj  0.75271  0.06610  11.388  < 2e-16 ***
  268. WansMRCV1.2:YansMRCV2.4:yj  1.02914  0.04508  22.828  < 2e-16 ***
  269. WansMRCV1.3:YansMRCV2.4:yj  1.15721  0.04067  28.454  < 2e-16 ***
  270. WansMRCV1.4:YansMRCV2.4:yj  1.01185  0.04599  21.999  < 2e-16 ***
  271. YansMRCV2.2:wi:yj          -0.20462  0.07815  -2.618  0.00884 **
  272. YansMRCV2.3:wi:yj           0.53465  0.19741   2.708  0.00676 **
  273. YansMRCV2.4:wi:yj          -0.34365  0.08820  -3.896 9.76e-05 ***
  274. ---
  275. Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  276.  
  277. (Dispersion parameter for poisson family taken to be 1)
  278.  
  279.         Null deviance: 749049.38    Residual deviance:    198.14
  280.         Number of Fisher Scoring iterations: 4
  281.  
  282. > summary(modelo.wymain)
  283.  
  284. Call:
  285. glm(formula = count ~ -1 + W:Y + wi %in% W:Y + yj %in% W:Y +
  286.     wi:yj + wi:yj %in% W + wi:yj %in% Y, family = poisson(link = log),
  287.     data = model.data)
  288.  
  289. Deviance Residuals:
  290.     Min       1Q   Median       3Q      Max  
  291. -4.7156  -0.6245   0.0000   0.6513   6.4618  
  292.  
  293. Coefficients:
  294.                            Estimate    RS SE z value Pr(>|z|)    
  295. WansMRCV1.1:YansMRCV2.1     3.18876  0.17474  18.248  < 2e-16 ***
  296. WansMRCV1.2:YansMRCV2.1     5.52162  0.05684  97.145  < 2e-16 ***
  297. WansMRCV1.3:YansMRCV2.1     5.78124  0.05121 112.896  < 2e-16 ***
  298. WansMRCV1.4:YansMRCV2.1     5.43608  0.05662  96.015  < 2e-16 ***
  299. WansMRCV1.1:YansMRCV2.2     4.22198  0.11183  37.752  < 2e-16 ***
  300. WansMRCV1.2:YansMRCV2.2     7.03364  0.02377 295.936  < 2e-16 ***
  301. WansMRCV1.3:YansMRCV2.2     7.38720  0.01895 389.762  < 2e-16 ***
  302. WansMRCV1.4:YansMRCV2.2     6.94650  0.02541 273.430  < 2e-16 ***
  303. WansMRCV1.1:YansMRCV2.3     2.24187  0.24474   9.160  < 2e-16 ***
  304. WansMRCV1.2:YansMRCV2.3     4.14322  0.11744  35.279  < 2e-16 ***
  305. WansMRCV1.3:YansMRCV2.3     4.30690  0.11242  38.311  < 2e-16 ***
  306. WansMRCV1.4:YansMRCV2.3     4.08385  0.12014  33.993  < 2e-16 ***
  307. WansMRCV1.1:YansMRCV2.4     3.64184  0.14544  25.041  < 2e-16 ***
  308. WansMRCV1.2:YansMRCV2.4     6.24767  0.03888 160.702  < 2e-16 ***
  309. WansMRCV1.3:YansMRCV2.4     6.59092  0.03105 212.235  < 2e-16 ***
  310. WansMRCV1.4:YansMRCV2.4     6.14756  0.04195 146.552  < 2e-16 ***
  311. wi:yj                       1.27530  0.18520   6.886 5.74e-12 ***
  312. WansMRCV1.1:YansMRCV2.1:wi  2.60651  0.17423  14.960  < 2e-16 ***
  313. WansMRCV1.2:YansMRCV2.1:wi -0.88727  0.08406 -10.555  < 2e-16 ***
  314. WansMRCV1.3:YansMRCV2.1:wi -2.41953  0.10513 -23.015  < 2e-16 ***
  315. WansMRCV1.4:YansMRCV2.1:wi -0.62017  0.08423  -7.363 1.80e-13 ***
  316. WansMRCV1.1:YansMRCV2.2:wi  3.26845  0.11546  28.309  < 2e-16 ***
  317. WansMRCV1.2:YansMRCV2.2:wi -0.44767  0.04512  -9.921  < 2e-16 ***
  318. WansMRCV1.3:YansMRCV2.2:wi -1.89075  0.06201 -30.489  < 2e-16 ***
  319. WansMRCV1.4:YansMRCV2.2:wi -0.23782  0.04499  -5.286 1.25e-07 ***
  320. WansMRCV1.1:YansMRCV2.3:wi  1.98627  0.24225   8.199 2.22e-16 ***
  321. WansMRCV1.2:YansMRCV2.3:wi -1.43552  0.18900  -7.596 3.06e-14 ***
  322. WansMRCV1.3:YansMRCV2.3:wi -2.97456  0.19753 -15.059  < 2e-16 ***
  323. WansMRCV1.4:YansMRCV2.3:wi -1.15928  0.19211  -6.034 1.60e-09 ***
  324. WansMRCV1.1:YansMRCV2.4:wi  3.02745  0.14880  20.346  < 2e-16 ***
  325. WansMRCV1.2:YansMRCV2.4:wi -0.51371  0.06269  -8.194 2.22e-16 ***
  326. WansMRCV1.3:YansMRCV2.4:wi -2.01060  0.09091 -22.117  < 2e-16 ***
  327. WansMRCV1.4:YansMRCV2.4:wi -0.26585  0.06111  -4.350 1.36e-05 ***
  328. WansMRCV1.1:YansMRCV2.1:yj  1.02694  0.18726   5.484 4.16e-08 ***
  329. WansMRCV1.2:YansMRCV2.1:yj  1.93366  0.06244  30.967  < 2e-16 ***
  330. WansMRCV1.3:YansMRCV2.1:yj  2.09344  0.05678  36.869  < 2e-16 ***
  331. WansMRCV1.4:YansMRCV2.1:yj  1.95623  0.06278  31.160  < 2e-16 ***
  332. WansMRCV1.1:YansMRCV2.2:yj -1.05098  0.18137  -5.795 6.84e-09 ***
  333. WansMRCV1.2:YansMRCV2.2:yj -0.29447  0.04339  -6.787 1.15e-11 ***
  334. WansMRCV1.3:YansMRCV2.2:yj -0.18765  0.03621  -5.183 2.19e-07 ***
  335. WansMRCV1.4:YansMRCV2.2:yj -0.24517  0.04454  -5.505 3.69e-08 ***
  336. WansMRCV1.1:YansMRCV2.3:yj  2.17201  0.24555   8.846  < 2e-16 ***
  337. WansMRCV1.2:YansMRCV2.3:yj  3.41477  0.12022  28.405  < 2e-16 ***
  338. WansMRCV1.3:YansMRCV2.3:yj  3.65857  0.11498  31.820  < 2e-16 ***
  339. WansMRCV1.4:YansMRCV2.3:yj  3.40814  0.12296  27.718  < 2e-16 ***
  340. WansMRCV1.1:YansMRCV2.4:yj  0.34413  0.17739   1.940  0.05239 .  
  341. WansMRCV1.2:YansMRCV2.4:yj  1.04002  0.04797  21.681  < 2e-16 ***
  342. WansMRCV1.3:YansMRCV2.4:yj  1.11683  0.04075  27.410  < 2e-16 ***
  343. WansMRCV1.4:YansMRCV2.4:yj  1.08620  0.05058  21.474  < 2e-16 ***
  344. WansMRCV1.2:wi:yj          -0.45002  0.18075  -2.490  0.01278 *  
  345. WansMRCV1.3:wi:yj          -0.14543  0.19236  -0.756  0.44963    
  346. WansMRCV1.4:wi:yj          -0.59125  0.18878  -3.132  0.00174 **
  347. YansMRCV2.2:wi:yj          -0.20588  0.07791  -2.643  0.00823 **
  348. YansMRCV2.3:wi:yj           0.49825  0.18373   2.712  0.00669 **
  349. YansMRCV2.4:wi:yj          -0.34169  0.08759  -3.901 9.58e-05 ***
  350. ---
  351. Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  352.  
  353. (Dispersion parameter for poisson family taken to be 1)
  354.  
  355.         Null deviance: 749049.38    Residual deviance:    154.52
  356.         Number of Fisher Scoring iterations: 4
  357.  
  358. > summary(modelo.saturado)
  359.  
  360. Call:
  361. glm(formula = count ~ -1 + W:Y + wi %in% W:Y + yj %in% W:Y +
  362.     wi:yj + wi:yj %in% W + wi:yj %in% Y + wi:yj %in% W:Y, family = poisson(link = log),
  363.     data = model.data)
  364.  
  365. Deviance Residuals:
  366.  [1]  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
  367. [32]  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
  368. [63]  0  0
  369.  
  370. Coefficients:
  371.                               Estimate    RS SE z value Pr(>|z|)    
  372. WansMRCV1.1:YansMRCV2.1        3.58352  0.16586  21.606  < 2e-16 ***
  373. WansMRCV1.2:YansMRCV2.1        5.57595  0.05931  94.008  < 2e-16 ***
  374. WansMRCV1.3:YansMRCV2.1        5.78074  0.05307 108.922  < 2e-16 ***
  375. WansMRCV1.4:YansMRCV2.1        5.31812  0.06806  78.138  < 2e-16 ***
  376. WansMRCV1.1:YansMRCV2.2        4.00733  0.13384  29.942  < 2e-16 ***
  377. WansMRCV1.2:YansMRCV2.2        7.00579  0.02524 277.610  < 2e-16 ***
  378. WansMRCV1.3:YansMRCV2.2        7.42952  0.01799 412.935  < 2e-16 ***
  379. WansMRCV1.4:YansMRCV2.2        6.92166  0.02677 258.596  < 2e-16 ***
  380. WansMRCV1.1:YansMRCV2.3        2.39790  0.30106   7.965 1.55e-15 ***
  381. WansMRCV1.2:YansMRCV2.3        4.15888  0.12392  33.562  < 2e-16 ***
  382. WansMRCV1.3:YansMRCV2.3        4.31749  0.11430  37.775  < 2e-16 ***
  383. WansMRCV1.4:YansMRCV2.3        4.02535  0.13262  30.353  < 2e-16 ***
  384. WansMRCV1.1:YansMRCV2.4        3.63759  0.16139  22.539  < 2e-16 ***
  385. WansMRCV1.2:YansMRCV2.4        6.27852  0.04008 156.649  < 2e-16 ***
  386. WansMRCV1.3:YansMRCV2.4        6.48920  0.03536 183.543  < 2e-16 ***
  387. WansMRCV1.4:YansMRCV2.4        6.25767  0.04057 154.243  < 2e-16 ***
  388. wi:yj                          1.90034  0.22157   8.577  < 2e-16 ***
  389. WansMRCV1.1:YansMRCV2.1:wi     2.17538  0.17588  12.369  < 2e-16 ***
  390. WansMRCV1.2:YansMRCV2.1:wi    -1.08731  0.12257  -8.871  < 2e-16 ***
  391. WansMRCV1.3:YansMRCV2.1:wi    -2.41345  0.19383 -12.452  < 2e-16 ***
  392. WansMRCV1.4:YansMRCV2.1:wi    -0.31417  0.10777  -2.915 0.003553 **
  393. WansMRCV1.1:YansMRCV2.2:wi     3.49043  0.13688  25.500  < 2e-16 ***
  394. WansMRCV1.2:YansMRCV2.2:wi    -0.37775  0.04722  -8.000 1.33e-15 ***
  395. WansMRCV1.3:YansMRCV2.2:wi    -2.27047  0.07963 -28.513  < 2e-16 ***
  396. WansMRCV1.4:YansMRCV2.2:wi    -0.18232  0.04658  -3.914 9.07e-05 ***
  397. WansMRCV1.1:YansMRCV2.3:wi     1.80680  0.32532   5.554 2.79e-08 ***
  398. WansMRCV1.2:YansMRCV2.3:wi    -1.51983  0.29505  -5.151 2.59e-07 ***
  399. WansMRCV1.3:YansMRCV2.3:wi    -3.21888  0.58878  -5.467 4.58e-08 ***
  400. WansMRCV1.4:YansMRCV2.3:wi    -0.93431  0.25162  -3.713 0.000205 ***
  401. WansMRCV1.1:YansMRCV2.4:wi     3.03191  0.16609  18.255  < 2e-16 ***
  402. WansMRCV1.2:YansMRCV2.4:wi    -0.59835  0.07273  -8.227 2.22e-16 ***
  403. WansMRCV1.3:YansMRCV2.4:wi    -1.36524  0.08644 -15.794  < 2e-16 ***
  404. WansMRCV1.4:YansMRCV2.4:wi    -0.54064  0.07215  -7.494 6.71e-14 ***
  405. WansMRCV1.1:YansMRCV2.1:yj     0.44183  0.21362   2.068 0.038614 *  
  406. WansMRCV1.2:YansMRCV2.1:yj     1.87122  0.06611  28.303  < 2e-16 ***
  407. WansMRCV1.3:YansMRCV2.1:yj     2.09400  0.05888  35.565  < 2e-16 ***
  408. WansMRCV1.4:YansMRCV2.1:yj     2.08980  0.07422  28.157  < 2e-16 ***
  409. WansMRCV1.1:YansMRCV2.2:yj    -0.39642  0.21262  -1.864 0.062266 .  
  410. WansMRCV1.2:YansMRCV2.2:yj    -0.23042  0.04526  -5.091 3.55e-07 ***
  411. WansMRCV1.3:YansMRCV2.2:yj    -0.28354  0.03717  -7.628 2.38e-14 ***
  412. WansMRCV1.4:YansMRCV2.2:yj    -0.18945  0.04667  -4.059 4.92e-05 ***
  413. WansMRCV1.1:YansMRCV2.3:yj     1.99655  0.32133   6.213 5.19e-10 ***
  414. WansMRCV1.2:YansMRCV2.3:yj     3.39859  0.12707  26.745  < 2e-16 ***
  415. WansMRCV1.3:YansMRCV2.3:yj     3.64771  0.11696  31.186  < 2e-16 ***
  416. WansMRCV1.4:YansMRCV2.3:yj     3.46852  0.13570  25.561  < 2e-16 ***
  417. WansMRCV1.1:YansMRCV2.4:yj     0.35140  0.21174   1.660 0.097002 .  
  418. WansMRCV1.2:YansMRCV2.4:yj     0.99803  0.05067  19.696  < 2e-16 ***
  419. WansMRCV1.3:YansMRCV2.4:yj     1.24972  0.04422  28.262  < 2e-16 ***
  420. WansMRCV1.4:YansMRCV2.4:yj     0.93602  0.05164  18.125  < 2e-16 ***
  421. WansMRCV1.2:wi:yj             -0.85835  0.24883  -3.450 0.000561 ***
  422. WansMRCV1.3:wi:yj             -0.77684  0.29827  -2.604 0.009201 **
  423. WansMRCV1.4:wi:yj             -1.55277  0.26191  -5.929 3.05e-09 ***
  424. YansMRCV2.2:wi:yj             -1.50005  0.23512  -6.380 1.77e-10 ***
  425. YansMRCV2.3:wi:yj              0.07256  0.34857   0.208 0.835110    
  426. YansMRCV2.4:wi:yj             -0.97426  0.25674  -3.795 0.000148 ***
  427. WansMRCV1.2:YansMRCV2.2:wi:yj  0.93980  0.26272   3.577 0.000347 ***
  428. WansMRCV1.3:YansMRCV2.2:wi:yj  1.86233  0.31186   5.972 2.35e-09 ***
  429. WansMRCV1.4:YansMRCV2.2:wi:yj  1.51931  0.27143   5.597 2.18e-08 ***
  430. WansMRCV1.2:YansMRCV2.3:wi:yj  0.29440  0.44585   0.660 0.509063    
  431. WansMRCV1.3:YansMRCV2.3:wi:yj  0.67769  0.75665   0.896 0.370438    
  432. WansMRCV1.4:YansMRCV2.3:wi:yj  0.53347  0.46050   1.158 0.246677    
  433. WansMRCV1.2:YansMRCV2.4:wi:yj  0.52299  0.28700   1.822 0.068420 .  
  434. WansMRCV1.3:YansMRCV2.4:wi:yj -0.15131  0.33200  -0.456 0.648565    
  435. WansMRCV1.4:YansMRCV2.4:wi:yj  1.31966  0.29869   4.418 9.95e-06 ***
  436. ---
  437. Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
  438.  
  439. (Dispersion parameter for poisson family taken to be 1)
  440.  
  441.         Null deviance: 7.4905e+05    Residual deviance: 2.1034e-12
  442.         Number of Fisher Scoring iterations: 3
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