> cor1 $n 1 2 3 4 5 6 7 8 19 20 21 22 23 24 25 26 111 112 113 114 115 14037 8784 5227 5264 7477 8139 4215 483 1139 4133 5706 5590 5415 4088 1946 135 2 1429 2779 3220 1819 116 117 118 119 134 135 136 137 138 865 6559 4818 1459 243 1909 2854 1552 342 $mean.of.class 1 2 3 4 5 6 7 8 19 20 0.4566126 1.4615701 2.4462978 3.5363245 4.5313793 5.5090292 6.3992164 7.1334939 18.7930390 19.5542987 21 22 23 24 25 26 111 112 113 114 20.4983856 21.4991335 22.4838774 23.4639730 24.3982739 25.1106149 110.9930349 111.6243292 112.5453008 113.4881274 115 116 117 118 119 134 135 136 137 138 114.4073970 115.4949532 116.5180191 117.5582218 118.2158551 133.8627451 134.5408396 135.5013180 136.4539568 137.2031397 $correlation 1 2 3 4 5 6 7 8 -0.01335498081 -0.00221993745 -0.00625878578 0.00701741486 -0.00643529597 0.00311742215 -0.00113089054 0.04217026870 19 20 21 22 23 24 25 26 0.00319022162 0.00583570054 -0.00433188995 -0.00547106158 -0.00191574679 -0.00523401080 0.02052260640 0.02348847197 111 112 113 114 115 116 117 118 0.00414030095 -0.00138135817 -0.00406245063 0.00382885552 0.00030361612 0.02492366662 -0.00350289953 0.00607526695 119 134 135 136 137 138 -0.01281088407 0.04075246022 -0.00006330574 -0.01416589091 0.00759399656 -0.00098033254 $x.intercept [1] 0 $p [1] 0.02797203 0.49650350 0.30469530 0.20179820 0.28771229 0.26973027 0.48551449 0.11488511 0.39160839 0.26573427 0.41858142 [12] 0.35464535 0.46053946 0.39460539 0.12487512 0.33366633 0.49150849 0.49950050 0.39460539 0.32467532 0.44255744 0.17182817 [23] 0.37362637 0.20179820 0.24375624 0.17482517 0.45954046 0.18081918 0.33166833 0.49250749 $call [1] "correlog(x = Rich$Longitude, y = Rich$Latitude, z = residuals(glm1), " [2] " increment = 1, resamp = 1000, latlon = TRUE)" attr(,"class") [1] "correlog" >