LEM: log-linear and event history analysis with missing data. Developed by Jeroen K. Vermunt (c), Tilburg University, The Netherlands. Version 1.2 (July 10, 1998). *** INPUT *** man 4 dim 2 4 6 6 lab S A L H mod {S A L H SA SL SH LH SLH ass2(A,L,S,5e,3,0,-1) ass2(A,L,S,5e,3,0,-1) ass2(A,H,S,5c,-2,0,-1) ass2(A,H,S,5c,2,0,-1)} des [ 1 1 2 3 1 0 1 1 2 3 0 1 2 1 2 1 0 0 1 1 1 0 1 2 1 2 0 1 ] ass_equ [ 1 2 3 2 4 2 5 2 ] dlk nco cri .00000000001 dat[ 44 4 9 7 6 7 13 30 20 8 14 7 9 23 17 17 3 0 16 17 10 20 2 2 5 4 9 10 4 0 3 3 0 1 4 1 7 4 5 5 14 69 5 7 13 15 38 37 6 7 8 10 10 15 4 12 5 13 6 14 2 3 1 1 3 5 0 0 1 1 1 3 8 2 2 1 0 4 5 5 5 5 5 3 8 10 7 4 1 1 12 17 15 13 2 2 12 17 19 18 10 4 31 29 25 24 12 12 4 1 2 0 4 37 0 4 0 1 8 25 1 3 3 7 8 15 4 4 8 17 12 21 3 12 8 11 20 20 11 8 12 11 12 33 69 6 1 1 0 0 34 20 10 3 1 0 43 24 13 9 1 0 78 40 20 6 0 1 32 38 17 5 4 0 5 14 3 2 0 0 10 5 2 11 16 28 8 5 11 43 27 38 9 6 7 28 32 45 8 6 14 19 23 22 4 5 7 6 18 18 0 1 2 3 5 8 4 1 0 0 0 0 5 3 2 1 0 0 8 6 3 1 0 0 36 25 18 3 1 0 83 69 26 6 1 0 127 50 12 7 2 0 5 0 1 4 4 9 0 1 3 6 9 27 2 3 2 11 27 20 9 12 11 10 23 31 16 7 5 19 33 40 21 14 13 20 21 61] *** STATISTICS *** Number of iterations = 312 Converge criterion = 0.0000000000 X-squared = 264.5010 (0.0013) L-squared = 254.1531 (0.0050) Cressie-Read = 251.2693 (0.0071) Dissimilarity index = 0.0836 Degrees of freedom = 199 Log-likelihood = -17327.58754 Number of parameters = 88 (+1) Sample size = 3399.0 BIC(L-squared) = -1363.9629 AIC(L-squared) = -143.8469 BIC(log-likelihood) = 35370.7239 AIC(log-likelihood) = 34831.1751 WARNING: no information is provided on identification of parameters *** FREQUENCIES *** S A L H observed estimated std. res. 1 1 1 1 44.000 39.925 0.645 1 1 1 2 4.000 6.763 -1.063 1 1 1 3 9.000 9.755 -0.242 1 1 1 4 7.000 5.244 0.767 1 1 1 5 6.000 5.668 0.139 1 1 1 6 7.000 10.904 -1.182 1 1 2 1 13.000 14.224 -0.325 1 1 2 2 30.000 27.588 0.459 1 1 2 3 20.000 20.054 -0.012 1 1 2 4 8.000 11.357 -0.996 1 1 2 5 14.000 14.839 -0.218 1 1 2 6 7.000 6.448 0.217 1 1 3 1 9.000 13.274 -1.173 1 1 3 2 23.000 23.022 -0.005 1 1 3 3 17.000 16.381 0.153 1 1 3 4 17.000 13.043 1.096 1 1 3 5 3.000 4.333 -0.641 1 1 3 6 0.000 2.344 -1.531 1 1 4 1 16.000 14.633 0.357 1 1 4 2 17.000 19.605 -0.588 1 1 4 3 10.000 12.870 -0.800 1 1 4 4 20.000 15.344 1.189 1 1 4 5 2.000 3.001 -0.578 1 1 4 6 2.000 1.976 0.017 1 1 5 1 5.000 4.667 0.154 1 1 5 2 4.000 7.344 -1.234 1 1 5 3 9.000 6.458 1.000 1 1 5 4 10.000 4.961 2.262 1 1 5 5 4.000 2.542 0.915 1 1 5 6 0.000 0.726 -0.852 1 1 6 1 3.000 2.859 0.083 1 1 6 2 3.000 2.445 0.355 1 1 6 3 0.000 1.993 -1.412 1 1 6 4 1.000 1.398 -0.337 1 1 6 5 4.000 0.622 4.284 1 1 6 6 1.000 0.391 0.974 1 2 1 1 7.000 12.328 -1.517 1 2 1 2 4.000 2.317 1.106 1 2 1 3 5.000 4.836 0.075 1 2 1 4 5.000 4.919 0.036 1 2 1 5 14.000 12.111 0.543 1 2 1 6 69.000 69.249 -0.030 1 2 2 1 5.000 4.392 0.290 1 2 2 2 7.000 9.451 -0.797 1 2 2 3 13.000 9.941 0.970 1 2 2 4 15.000 10.653 1.332 1 2 2 5 38.000 31.707 1.118 1 2 2 6 37.000 40.952 -0.618 1 2 3 1 6.000 4.099 0.939 1 2 3 2 7.000 7.887 -0.316 1 2 3 3 8.000 8.120 -0.042 1 2 3 4 10.000 12.235 -0.639 1 2 3 5 10.000 9.259 0.243 1 2 3 6 15.000 14.888 0.029 1 2 4 1 4.000 4.518 -0.244 1 2 4 2 12.000 6.716 2.039 1 2 4 3 5.000 6.380 -0.546 1 2 4 4 13.000 14.393 -0.367 1 2 4 5 6.000 6.412 -0.163 1 2 4 6 14.000 12.548 0.410 1 2 5 1 2.000 1.441 0.466 1 2 5 2 3.000 2.516 0.305 1 2 5 3 1.000 3.201 -1.230 1 2 5 4 1.000 4.654 -1.694 1 2 5 5 3.000 5.431 -1.043 1 2 5 6 5.000 4.612 0.181 1 2 6 1 0.000 0.883 -0.940 1 2 6 2 0.000 0.838 -0.915 1 2 6 3 1.000 0.988 0.012 1 2 6 4 1.000 1.311 -0.272 1 2 6 5 1.000 1.328 -0.285 1 2 6 6 3.000 2.484 0.328 1 3 1 1 8.000 7.562 0.159 1 3 1 2 2.000 1.308 0.605 1 3 1 3 2.000 2.034 -0.024 1 3 1 4 1.000 1.244 -0.219 1 3 1 5 0.000 1.589 -1.261 1 3 1 6 4.000 3.813 0.096 1 3 2 1 5.000 3.106 1.075 1 3 2 2 5.000 6.153 -0.465 1 3 2 3 5.000 4.820 0.082 1 3 2 4 5.000 3.107 1.074 1 3 2 5 5.000 4.797 0.093 1 3 2 6 3.000 2.600 0.248 1 3 3 1 8.000 4.808 1.456 1 3 3 2 10.000 8.516 0.509 1 3 3 3 7.000 6.531 0.184 1 3 3 4 4.000 5.918 -0.788 1 3 3 5 1.000 2.323 -0.868 1 3 3 6 1.000 1.567 -0.453 1 3 4 1 12.000 12.692 -0.194 1 3 4 2 17.000 17.368 -0.088 1 3 4 3 15.000 12.288 0.774 1 3 4 4 13.000 16.673 -0.899 1 3 4 5 2.000 3.853 -0.944 1 3 4 6 2.000 3.164 -0.654 1 3 5 1 12.000 12.496 -0.140 1 3 5 2 17.000 20.084 -0.688 1 3 5 3 19.000 19.034 -0.008 1 3 5 4 18.000 16.642 0.333 1 3 5 5 10.000 10.075 -0.024 1 3 5 6 4.000 3.590 0.216 1 3 6 1 31.000 34.030 -0.519 1 3 6 2 29.000 29.715 -0.131 1 3 6 3 25.000 26.114 -0.218 1 3 6 4 24.000 20.842 0.692 1 3 6 5 12.000 10.953 0.317 1 3 6 6 12.000 8.592 1.163 1 4 1 1 4.000 3.185 0.456 1 4 1 2 1.000 0.611 0.497 1 4 1 3 2.000 1.375 0.532 1 4 1 4 0.000 1.592 -1.262 1 4 1 5 4.000 4.632 -0.294 1 4 1 6 37.000 33.034 0.690 1 4 2 1 0.000 1.278 -1.130 1 4 2 2 4.000 2.809 0.711 1 4 2 3 0.000 3.184 -1.784 1 4 2 4 1.000 3.883 -1.463 1 4 2 5 8.000 13.658 -1.531 1 4 2 6 25.000 22.000 0.640 1 4 3 1 1.000 1.819 -0.607 1 4 3 2 3.000 3.576 -0.304 1 4 3 3 3.000 3.968 -0.486 1 4 3 4 7.000 6.804 0.075 1 4 3 5 8.000 6.084 0.777 1 4 3 6 15.000 12.200 0.802 1 4 4 1 4.000 4.157 -0.077 1 4 4 2 4.000 6.311 -0.920 1 4 4 3 8.000 6.462 0.605 1 4 4 4 17.000 16.590 0.101 1 4 4 5 12.000 8.733 1.105 1 4 4 6 21.000 21.313 -0.068 1 4 5 1 3.000 3.397 -0.215 1 4 5 2 12.000 6.057 2.415 1 4 5 3 8.000 8.307 -0.106 1 4 5 4 11.000 13.743 -0.740 1 4 5 5 20.000 18.952 0.241 1 4 5 6 20.000 20.071 -0.016 1 4 6 1 11.000 7.227 1.403 1 4 6 2 8.000 7.002 0.377 1 4 6 3 12.000 8.904 1.037 1 4 6 4 11.000 13.448 -0.668 1 4 6 5 12.000 16.097 -1.021 1 4 6 6 33.000 37.533 -0.740 2 1 1 1 69.000 66.043 0.364 2 1 1 2 6.000 8.573 -0.879 2 1 1 3 1.000 2.142 -0.780 2 1 1 4 1.000 3.068 -1.181 2 1 1 5 0.000 0.526 -0.726 2 1 1 6 0.000 0.055 -0.234 2 1 2 1 34.000 34.626 -0.106 2 1 2 2 20.000 20.330 -0.073 2 1 2 3 10.000 13.640 -0.986 2 1 2 4 3.000 9.922 -2.197 2 1 2 5 1.000 0.949 0.052 2 1 2 6 0.000 0.093 -0.306 2 1 3 1 43.000 41.901 0.170 2 1 3 2 24.000 25.050 -0.210 2 1 3 3 13.000 11.945 0.305 2 1 3 4 9.000 8.261 0.257 2 1 3 5 1.000 1.379 -0.322 2 1 3 6 0.000 0.084 -0.289 2 1 4 1 78.000 68.846 1.103 2 1 4 2 40.000 41.423 -0.221 2 1 4 3 20.000 23.295 -0.683 2 1 4 4 6.000 4.921 0.486 2 1 4 5 0.000 0.827 -0.909 2 1 4 6 1.000 0.053 4.105 2 1 5 1 32.000 39.692 -1.221 2 1 5 2 38.000 33.356 0.804 2 1 5 3 17.000 11.646 1.569 2 1 5 4 5.000 2.770 1.340 2 1 5 5 4.000 0.596 4.411 2 1 5 6 0.000 0.035 -0.186 2 1 6 1 5.000 13.865 -2.381 2 1 6 2 14.000 6.907 2.699 2 1 6 3 3.000 2.108 0.614 2 1 6 4 2.000 0.935 1.101 2 1 6 5 0.000 0.122 -0.349 2 1 6 6 0.000 0.017 -0.131 2 2 1 1 10.000 10.630 -0.193 2 2 1 2 5.000 1.821 2.356 2 2 1 3 2.000 1.221 0.705 2 2 1 4 11.000 9.603 0.451 2 2 1 5 16.000 14.843 0.300 2 2 1 6 28.000 28.249 -0.047 2 2 2 1 8.000 5.573 1.028 2 2 2 2 5.000 4.319 0.328 2 2 2 3 11.000 7.773 1.157 2 2 2 4 43.000 31.051 2.144 2 2 2 5 27.000 26.760 0.046 2 2 2 6 38.000 48.349 -1.488 2 2 3 1 9.000 6.744 0.869 2 2 3 2 6.000 5.322 0.294 2 2 3 3 7.000 6.807 0.074 2 2 3 4 28.000 25.853 0.422 2 2 3 5 32.000 38.872 -1.102 2 2 3 6 45.000 43.275 0.262 2 2 4 1 8.000 11.081 -0.925 2 2 4 2 6.000 8.800 -0.944 2 2 4 3 14.000 13.276 0.199 2 2 4 4 19.000 15.401 0.917 2 2 4 5 23.000 23.307 -0.064 2 2 4 6 22.000 27.504 -1.050 2 2 5 1 4.000 6.388 -0.945 2 2 5 2 5.000 7.086 -0.784 2 2 5 3 7.000 6.637 0.141 2 2 5 4 6.000 8.670 -0.907 2 2 5 5 18.000 16.798 0.293 2 2 5 6 18.000 17.917 0.020 2 2 6 1 0.000 2.232 -1.494 2 2 6 2 1.000 1.467 -0.386 2 2 6 3 2.000 1.201 0.729 2 2 6 4 3.000 2.926 0.043 2 2 6 5 5.000 3.432 0.846 2 2 6 6 8.000 8.812 -0.273 2 3 1 1 4.000 8.058 -1.430 2 3 1 2 1.000 1.046 -0.045 2 3 1 3 0.000 0.261 -0.511 2 3 1 4 0.000 0.374 -0.612 2 3 1 5 0.000 0.064 -0.253 2 3 1 6 0.000 0.007 -0.082 2 3 2 1 5.000 4.894 0.048 2 3 2 2 3.000 2.873 0.075 2 3 2 3 2.000 1.928 0.052 2 3 2 4 1.000 1.402 -0.340 2 3 2 5 0.000 0.134 -0.366 2 3 2 6 0.000 0.013 -0.115 2 3 3 1 8.000 9.986 -0.628 2 3 3 2 6.000 5.970 0.012 2 3 3 3 3.000 2.847 0.091 2 3 3 4 1.000 1.969 -0.690 2 3 3 5 0.000 0.329 -0.573 2 3 3 6 0.000 0.020 -0.141 2 3 4 1 36.000 40.433 -0.697 2 3 4 2 25.000 24.327 0.136 2 3 4 3 18.000 13.681 1.168 2 3 4 4 3.000 2.890 0.065 2 3 4 5 1.000 0.485 0.739 2 3 4 6 0.000 0.031 -0.177 2 3 5 1 83.000 74.663 0.965 2 3 5 2 69.000 62.745 0.790 2 3 5 3 26.000 21.907 0.875 2 3 5 4 6.000 5.211 0.346 2 3 5 5 1.000 1.121 -0.114 2 3 5 6 0.000 0.065 -0.255 2 3 6 1 127.000 121.704 0.480 2 3 6 2 50.000 60.631 -1.365 2 3 6 3 12.000 18.506 -1.512 2 3 6 4 7.000 8.207 -0.421 2 3 6 5 2.000 1.068 0.901 2 3 6 6 0.000 0.150 -0.387 2 4 1 1 5.000 3.270 0.957 2 4 1 2 0.000 0.560 -0.748 2 4 1 3 1.000 0.376 1.019 2 4 1 4 4.000 2.954 0.609 2 4 1 5 4.000 4.566 -0.265 2 4 1 6 9.000 8.690 0.105 2 4 2 1 0.000 1.907 -1.381 2 4 2 2 1.000 1.478 -0.393 2 4 2 3 3.000 2.660 0.209 2 4 2 4 6.000 10.625 -1.419 2 4 2 5 9.000 9.157 -0.052 2 4 2 6 27.000 16.544 2.571 2 4 3 1 2.000 3.369 -0.746 2 4 3 2 3.000 2.659 0.209 2 4 3 3 2.000 3.401 -0.760 2 4 3 4 11.000 12.917 -0.533 2 4 3 5 27.000 19.421 1.720 2 4 3 6 20.000 21.621 -0.349 2 4 4 1 9.000 10.640 -0.503 2 4 4 2 12.000 8.450 1.221 2 4 4 3 11.000 12.748 -0.490 2 4 4 4 10.000 14.788 -1.245 2 4 4 5 23.000 22.381 0.131 2 4 4 6 31.000 26.411 0.893 2 4 5 1 16.000 14.256 0.462 2 4 5 2 7.000 15.813 -2.216 2 4 5 3 5.000 14.811 -2.549 2 4 5 4 19.000 19.348 -0.079 2 4 5 5 33.000 37.486 -0.733 2 4 5 6 40.000 39.983 0.003 2 4 6 1 21.000 15.200 1.488 2 4 6 2 14.000 9.995 1.267 2 4 6 3 13.000 8.184 1.684 2 4 6 4 20.000 19.931 0.015 2 4 6 5 21.000 23.378 -0.492 2 4 6 6 61.000 60.022 0.126 *** LOG-LINEAR PARAMETERS *** * TABLE SALH [or P(SALH)] * effect beta exp(beta) main 1.6570 5.2434 S 1 0.1664 1.1810 2 -0.1664 0.8467 A 1 -0.2203 0.8023 2 0.3119 1.3660 3 -0.4500 0.6376 4 0.3585 1.4312 L 1 -0.5947 0.5517 2 0.0258 1.0261 3 0.0702 1.0728 4 0.4236 1.5275 5 0.2746 1.3160 6 -0.1995 0.8191 H 1 -0.2662 0.7663 2 -0.4629 0.6295 3 -0.3790 0.6846 4 0.1854 1.2036 5 0.2975 1.3465 6 0.6252 1.8686 SA 1 1 0.2002 1.2217 1 2 -0.3993 0.6708 1 3 0.5076 1.6613 1 4 -0.3086 0.7345 2 1 -0.2002 0.8185 2 2 0.3993 1.4908 2 3 -0.5076 0.6019 2 4 0.3086 1.3615 SL 1 1 0.3719 1.4504 1 2 0.2007 1.2223 1 3 -0.0378 0.9630 1 4 -0.1040 0.9012 1 5 -0.2896 0.7485 1 6 -0.1412 0.8683 2 1 -0.3719 0.6894 2 2 -0.2007 0.8181 2 3 0.0378 1.0385 2 4 0.1040 1.1096 2 5 0.2896 1.3360 2 6 0.1412 1.1517 SH 1 1 -1.3857 0.2501 1 2 -0.9766 0.3766 1 3 -0.4960 0.6090 1 4 -0.0947 0.9097 1 5 0.7950 2.2145 1 6 2.1580 8.6537 2 1 1.3857 3.9977 2 2 0.9766 2.6555 2 3 0.4960 1.6421 2 4 0.0947 1.0993 2 5 -0.7950 0.4516 2 6 -2.1580 0.1156 LH 1 1 0.8299 2.2931 1 2 -0.7087 0.4923 1 3 -0.6866 0.5033 1 4 -0.3180 0.7276 1 5 0.1001 1.1052 1 6 0.7833 2.1888 2 1 -0.5651 0.5683 2 2 -0.1301 0.8780 2 3 0.0431 1.0441 2 4 0.0990 1.1041 2 5 0.3198 1.3769 2 6 0.2333 1.2627 3 1 -0.3201 0.7261 3 2 0.0680 1.0704 3 3 0.0599 1.0617 3 4 0.2608 1.2980 3 5 0.0753 1.0782 3 6 -0.1439 0.8660 4 1 0.0182 1.0184 4 2 0.2805 1.3238 4 3 0.3145 1.3696 4 4 0.1244 1.1324 4 5 -0.3229 0.7241 4 6 -0.4147 0.6605 5 1 -0.1701 0.8436 5 2 0.3397 1.4045 5 3 0.2815 1.3252 5 4 -0.0690 0.9333 5 5 0.0888 1.0929 5 6 -0.4709 0.6244 6 1 0.2073 1.2303 6 2 0.1506 1.1625 6 3 -0.0125 0.9876 6 4 -0.0972 0.9074 6 5 -0.2611 0.7702 6 6 0.0129 1.0130 SLH 1 1 1 0.0172 1.0173 1 1 2 -0.2242 0.7991 1 1 3 0.2944 1.3423 1 1 4 -0.3849 0.6805 1 1 5 -0.0807 0.9225 1 1 6 0.3783 1.4598 1 2 1 -0.0039 0.9961 1 2 2 0.2190 1.2448 1 2 3 -0.0988 0.9060 1 2 4 -0.4133 0.6615 1 2 5 0.2779 1.3204 1 2 6 0.0190 1.0192 1 3 1 0.1080 1.1141 1 3 2 0.2661 1.3048 1 3 3 0.1083 1.1144 1 3 4 -0.0105 0.9895 1 3 5 -0.2823 0.7540 1 3 6 -0.1896 0.8273 1 4 1 -0.0194 0.9808 1 4 2 0.0063 1.0064 1 4 3 -0.2742 0.7602 1 4 4 0.4018 1.4945 1 4 5 -0.1382 0.8710 1 4 6 0.0236 1.0239 1 5 1 -0.1222 0.8849 1 5 2 -0.1831 0.8327 1 5 3 -0.0791 0.9240 1 5 4 0.3178 1.3741 1 5 5 0.1358 1.1455 1 5 6 -0.0692 0.9331 1 6 1 0.0204 1.0206 1 6 2 -0.0841 0.9194 1 6 3 0.0494 1.0506 1 6 4 0.0892 1.0933 1 6 5 0.0874 1.0913 1 6 6 -0.1623 0.8502 2 1 1 -0.0172 0.9830 2 1 2 0.2242 1.2514 2 1 3 -0.2944 0.7450 2 1 4 0.3849 1.4695 2 1 5 0.0807 1.0840 2 1 6 -0.3783 0.6850 2 2 1 0.0039 1.0040 2 2 2 -0.2190 0.8033 2 2 3 0.0988 1.1038 2 2 4 0.4133 1.5118 2 2 5 -0.2779 0.7573 2 2 6 -0.0190 0.9811 2 3 1 -0.1080 0.8976 2 3 2 -0.2661 0.7664 2 3 3 -0.1083 0.8974 2 3 4 0.0105 1.0106 2 3 5 0.2823 1.3262 2 3 6 0.1896 1.2087 2 4 1 0.0194 1.0196 2 4 2 -0.0063 0.9937 2 4 3 0.2742 1.3155 2 4 4 -0.4018 0.6691 2 4 5 0.1382 1.1482 2 4 6 -0.0236 0.9766 2 5 1 0.1222 1.1300 2 5 2 0.1831 1.2009 2 5 3 0.0791 1.0823 2 5 4 -0.3178 0.7278 2 5 5 -0.1358 0.8730 2 5 6 0.0692 1.0717 2 6 1 -0.0204 0.9798 2 6 2 0.0841 1.0877 2 6 3 -0.0494 0.9518 2 6 4 -0.0892 0.9147 2 6 5 -0.0874 0.9163 2 6 6 0.1623 1.1762 type 2 association (group=S row=A column=L) association 3.3482 0.0000 row 1 -0.4960 -0.4960 0.5854 0.4066 2 -0.4523 -0.4523 0.1508 0.7538 adj row 1 -0.9076 -0.9076 1.0712 0.7439 2 0.0000 0.0000 -0.0000 -0.0000 column 1 -0.4190 -0.3797 -0.2399 0.0013 0.3126 0.7246 2 -0.4190 -0.3797 -0.2399 0.0013 0.3126 0.7246 adj column 1 -0.7666 -0.6947 -0.4390 0.0024 0.5720 1.3259 2 -0.0000 -0.0000 -0.0000 0.0000 0.0000 0.0000 type 2 association (group=S row=A column=L) association 0.0000 3.3052 row 1 -0.4523 -0.4523 0.1508 0.7538 2 -0.4877 -0.4877 0.6436 0.3318 adj row 1 0.0000 0.0000 -0.0000 -0.0000 2 -0.8866 -0.8866 1.1700 0.6033 column 1 -0.4190 -0.3797 -0.2399 0.0013 0.3126 0.7246 2 -0.4190 -0.3797 -0.2399 0.0013 0.3126 0.7246 adj column 1 -0.0000 -0.0000 -0.0000 0.0000 0.0000 0.0000 2 -0.7617 -0.6902 -0.4362 0.0024 0.5684 1.3173 type 2 association (group=S row=A column=H) association 7.8731 0.0000 row 1 -0.6717 -0.3358 -0.6036 -0.2678 2 0.4714 0.2357 0.7071 0.4714 adj row 1 -1.8847 -0.9424 -1.6937 -0.7513 2 -0.0000 -0.0000 -0.0000 -0.0000 column -0.4190 -0.3797 -0.2399 0.0013 0.3126 0.7246 adj column 1 -1.1756 -1.0653 -0.6732 0.0036 0.8772 2.0332 type 2 association (group=S row=A column=H) association 0.0000 7.0612 row 1 -0.5000 0.5000 -0.5000 0.5000 2 -0.5000 0.5000 -0.5000 0.5000 adj row 1 0.0000 -0.0000 0.0000 -0.0000 2 -1.3287 1.3287 -1.3287 1.3287 column -0.4190 -0.3797 -0.2399 0.0013 0.3126 0.7246 adj column 1 -0.0000 -0.0000 -0.0000 0.0000 0.0000 0.0000