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 4 5 2 6 4 ] 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 = 252.7958 (0.0033) L-squared = 249.4733 (0.0051) Cressie-Read = 243.5763 (0.0103) Dissimilarity index = 0.0835 Degrees of freedom = 195 Log-likelihood = -17325.24765 Number of parameters = 92 (+1) Sample size = 3399.0 BIC(L-squared) = -1336.1178 AIC(L-squared) = -140.5267 BIC(log-likelihood) = 35398.5691 AIC(log-likelihood) = 34834.4953 WARNING: no information is provided on identification of parameters *** FREQUENCIES *** S A L H observed estimated std. res. 1 1 1 1 44.000 39.462 0.722 1 1 1 2 4.000 6.662 -1.031 1 1 1 3 9.000 9.526 -0.170 1 1 1 4 7.000 5.560 0.611 1 1 1 5 6.000 5.631 0.155 1 1 1 6 7.000 10.285 -1.024 1 1 2 1 13.000 14.008 -0.269 1 1 2 2 30.000 27.072 0.563 1 1 2 3 20.000 19.506 0.112 1 1 2 4 8.000 12.000 -1.155 1 1 2 5 14.000 14.677 -0.177 1 1 2 6 7.000 6.050 0.386 1 1 3 1 9.000 12.920 -1.091 1 1 3 2 23.000 22.321 0.144 1 1 3 3 17.000 15.733 0.319 1 1 3 4 17.000 13.646 0.908 1 1 3 5 3.000 4.232 -0.599 1 1 3 6 0.000 2.167 -1.472 1 1 4 1 16.000 15.488 0.130 1 1 4 2 17.000 20.684 -0.810 1 1 4 3 10.000 13.488 -0.950 1 1 4 4 20.000 17.671 0.554 1 1 4 5 2.000 3.236 -0.687 1 1 4 6 2.000 2.031 -0.022 1 1 5 1 5.000 4.531 0.220 1 1 5 2 4.000 7.101 -1.164 1 1 5 3 9.000 6.189 1.130 1 1 5 4 10.000 5.228 2.087 1 1 5 5 4.000 2.492 0.956 1 1 5 6 0.000 0.674 -0.821 1 1 6 1 3.000 2.552 0.281 1 1 6 2 3.000 2.173 0.561 1 1 6 3 0.000 1.758 -1.326 1 1 6 4 1.000 1.351 -0.302 1 1 6 5 4.000 0.562 4.588 1 1 6 6 1.000 0.335 1.149 1 2 1 1 7.000 12.436 -1.541 1 2 1 2 4.000 2.353 1.074 1 2 1 3 5.000 4.946 0.024 1 2 1 4 5.000 4.622 0.176 1 2 1 5 14.000 12.062 0.558 1 2 1 6 69.000 69.267 -0.032 1 2 2 1 5.000 4.414 0.279 1 2 2 2 7.000 9.561 -0.828 1 2 2 3 13.000 10.127 0.903 1 2 2 4 15.000 9.975 1.591 1 2 2 5 38.000 31.440 1.170 1 2 2 6 37.000 40.746 -0.587 1 2 3 1 6.000 4.072 0.956 1 2 3 2 7.000 7.884 -0.315 1 2 3 3 8.000 8.168 -0.059 1 2 3 4 10.000 11.344 -0.399 1 2 3 5 10.000 9.064 0.311 1 2 3 6 15.000 14.597 0.106 1 2 4 1 4.000 4.881 -0.399 1 2 4 2 12.000 7.305 1.737 1 2 4 3 5.000 7.002 -0.757 1 2 4 4 13.000 14.689 -0.441 1 2 4 5 6.000 6.932 -0.354 1 2 4 6 14.000 13.678 0.087 1 2 5 1 2.000 1.428 0.479 1 2 5 2 3.000 2.508 0.311 1 2 5 3 1.000 3.213 -1.235 1 2 5 4 1.000 4.346 -1.605 1 2 5 5 3.000 5.337 -1.012 1 2 5 6 5.000 4.539 0.217 1 2 6 1 0.000 0.804 -0.897 1 2 6 2 0.000 0.768 -0.876 1 2 6 3 1.000 0.913 0.091 1 2 6 4 1.000 1.123 -0.116 1 2 6 5 1.000 1.203 -0.185 1 2 6 6 3.000 2.256 0.496 1 3 1 1 8.000 7.802 0.071 1 3 1 2 2.000 1.347 0.562 1 3 1 3 2.000 2.079 -0.055 1 3 1 4 1.000 1.332 -0.288 1 3 1 5 0.000 1.628 -1.276 1 3 1 6 4.000 3.730 0.140 1 3 2 1 5.000 3.241 0.977 1 3 2 2 5.000 6.406 -0.555 1 3 2 3 5.000 4.982 0.008 1 3 2 4 5.000 3.364 0.892 1 3 2 5 5.000 4.964 0.016 1 3 2 6 3.000 2.568 0.270 1 3 3 1 8.000 5.081 1.295 1 3 3 2 10.000 8.979 0.341 1 3 3 3 7.000 6.831 0.065 1 3 3 4 4.000 6.504 -0.982 1 3 3 5 1.000 2.433 -0.919 1 3 3 6 1.000 1.564 -0.451 1 3 4 1 12.000 11.647 0.104 1 3 4 2 17.000 15.910 0.273 1 3 4 3 15.000 11.197 1.136 1 3 4 4 13.000 16.104 -0.774 1 3 4 5 2.000 3.558 -0.826 1 3 4 6 2.000 2.802 -0.479 1 3 5 1 12.000 12.549 -0.155 1 3 5 2 17.000 20.117 -0.695 1 3 5 3 19.000 18.923 0.018 1 3 5 4 18.000 17.546 0.108 1 3 5 5 10.000 10.088 -0.028 1 3 5 6 4.000 3.424 0.311 1 3 6 1 31.000 34.228 -0.552 1 3 6 2 29.000 29.818 -0.150 1 3 6 3 25.000 26.035 -0.203 1 3 6 4 24.000 21.968 0.433 1 3 6 5 12.000 11.013 0.297 1 3 6 6 12.000 8.242 1.309 1 4 1 1 4.000 3.300 0.385 1 4 1 2 1.000 0.639 0.452 1 4 1 3 2.000 1.449 0.458 1 4 1 4 0.000 1.486 -1.219 1 4 1 5 4.000 4.679 -0.314 1 4 1 6 37.000 33.717 0.565 1 4 2 1 0.000 1.337 -1.156 1 4 2 2 4.000 2.962 0.603 1 4 2 3 0.000 3.386 -1.840 1 4 2 4 1.000 3.661 -1.391 1 4 2 5 8.000 13.919 -1.587 1 4 2 6 25.000 22.636 0.497 1 4 3 1 1.000 1.927 -0.668 1 4 3 2 3.000 3.816 -0.418 1 4 3 3 3.000 4.268 -0.614 1 4 3 4 7.000 6.506 0.194 1 4 3 5 8.000 6.271 0.690 1 4 3 6 15.000 12.673 0.654 1 4 4 1 4.000 3.985 0.007 1 4 4 2 4.000 6.101 -0.851 1 4 4 3 8.000 6.313 0.672 1 4 4 4 17.000 14.536 0.646 1 4 4 5 12.000 8.275 1.295 1 4 4 6 21.000 20.489 0.113 1 4 5 1 3.000 3.492 -0.263 1 4 5 2 12.000 6.274 2.286 1 4 5 3 8.000 8.676 -0.229 1 4 5 4 11.000 12.880 -0.524 1 4 5 5 20.000 19.083 0.210 1 4 5 6 20.000 20.363 -0.081 1 4 6 1 11.000 7.417 1.316 1 4 6 2 8.000 7.242 0.282 1 4 6 3 12.000 9.295 0.887 1 4 6 4 11.000 12.557 -0.439 1 4 6 5 12.000 16.222 -1.048 1 4 6 6 33.000 38.168 -0.837 2 1 1 1 69.000 66.812 0.268 2 1 1 2 6.000 8.684 -0.911 2 1 1 3 1.000 2.189 -0.803 2 1 1 4 1.000 2.870 -1.104 2 1 1 5 0.000 0.604 -0.777 2 1 1 6 0.000 0.091 -0.302 2 1 2 1 34.000 35.052 -0.178 2 1 2 2 20.000 20.608 -0.134 2 1 2 3 10.000 13.942 -1.056 2 1 2 4 3.000 9.280 -2.062 2 1 2 5 1.000 1.089 -0.086 2 1 2 6 0.000 0.156 -0.395 2 1 3 1 43.000 42.464 0.082 2 1 3 2 24.000 25.418 -0.281 2 1 3 3 13.000 12.216 0.224 2 1 3 4 9.000 7.716 0.462 2 1 3 5 1.000 1.580 -0.462 2 1 3 6 0.000 0.140 -0.374 2 1 4 1 78.000 67.196 1.318 2 1 4 2 40.000 40.482 -0.076 2 1 4 3 20.000 22.949 -0.616 2 1 4 4 6.000 4.426 0.748 2 1 4 5 0.000 0.913 -0.955 2 1 4 6 1.000 0.086 3.126 2 1 5 1 32.000 39.273 -1.160 2 1 5 2 38.000 33.058 0.860 2 1 5 3 17.000 11.657 1.565 2 1 5 4 5.000 2.550 1.534 2 1 5 5 4.000 0.673 4.054 2 1 5 6 0.000 0.057 -0.239 2 1 6 1 5.000 14.917 -2.568 2 1 6 2 14.000 7.441 2.405 2 1 6 3 3.000 2.289 0.470 2 1 6 4 2.000 0.941 1.092 2 1 6 5 0.000 0.149 -0.386 2 1 6 6 0.000 0.031 -0.175 2 2 1 1 10.000 10.680 -0.208 2 2 1 2 5.000 1.820 2.357 2 2 1 3 2.000 1.210 0.719 2 2 1 4 11.000 9.862 0.362 2 2 1 5 16.000 14.875 0.292 2 2 1 6 28.000 28.394 -0.074 2 2 2 1 8.000 5.603 1.013 2 2 2 2 5.000 4.320 0.327 2 2 2 3 11.000 7.706 1.187 2 2 2 4 43.000 31.888 1.968 2 2 2 5 27.000 26.817 0.035 2 2 2 6 38.000 48.596 -1.520 2 2 3 1 9.000 6.788 0.849 2 2 3 2 6.000 5.328 0.291 2 2 3 3 7.000 6.752 0.095 2 2 3 4 28.000 26.513 0.289 2 2 3 5 32.000 38.903 -1.107 2 2 3 6 45.000 43.431 0.238 2 2 4 1 8.000 10.741 -0.836 2 2 4 2 6.000 8.485 -0.853 2 2 4 3 14.000 12.684 0.370 2 2 4 4 19.000 15.208 0.972 2 2 4 5 23.000 22.472 0.111 2 2 4 6 22.000 26.592 -0.890 2 2 5 1 4.000 6.278 -0.909 2 2 5 2 5.000 6.929 -0.733 2 2 5 3 7.000 6.443 0.219 2 2 5 4 6.000 8.763 -0.933 2 2 5 5 18.000 16.578 0.349 2 2 5 6 18.000 17.743 0.061 2 2 6 1 0.000 2.384 -1.544 2 2 6 2 1.000 1.560 -0.448 2 2 6 3 2.000 1.265 0.653 2 2 6 4 3.000 3.234 -0.130 2 2 6 5 5.000 3.676 0.691 2 2 6 6 8.000 9.482 -0.481 2 3 1 1 4.000 7.310 -1.224 2 3 1 2 1.000 0.950 0.051 2 3 1 3 0.000 0.239 -0.489 2 3 1 4 0.000 0.314 -0.560 2 3 1 5 0.000 0.066 -0.257 2 3 1 6 0.000 0.010 -0.100 2 3 2 1 5.000 4.474 0.249 2 3 2 2 3.000 2.630 0.228 2 3 2 3 2.000 1.779 0.165 2 3 2 4 1.000 1.184 -0.170 2 3 2 5 0.000 0.139 -0.373 2 3 2 6 0.000 0.020 -0.141 2 3 3 1 8.000 9.405 -0.458 2 3 3 2 6.000 5.629 0.156 2 3 3 3 3.000 2.706 0.179 2 3 3 4 1.000 1.709 -0.542 2 3 3 5 0.000 0.350 -0.592 2 3 3 6 0.000 0.031 -0.176 2 3 4 1 36.000 42.048 -0.933 2 3 4 2 25.000 25.331 -0.066 2 3 4 3 18.000 14.360 0.961 2 3 4 4 3.000 2.770 0.138 2 3 4 5 1.000 0.571 0.567 2 3 4 6 0.000 0.054 -0.231 2 3 5 1 83.000 75.266 0.892 2 3 5 2 69.000 63.356 0.709 2 3 5 3 26.000 22.341 0.774 2 3 5 4 6.000 4.887 0.503 2 3 5 5 1.000 1.291 -0.256 2 3 5 6 0.000 0.109 -0.331 2 3 6 1 127.000 120.800 0.564 2 3 6 2 50.000 60.255 -1.321 2 3 6 3 12.000 18.539 -1.519 2 3 6 4 7.000 7.621 -0.225 2 3 6 5 2.000 1.209 0.719 2 3 6 6 0.000 0.247 -0.497 2 4 1 1 5.000 3.199 1.007 2 4 1 2 0.000 0.545 -0.738 2 4 1 3 1.000 0.362 1.059 2 4 1 4 4.000 2.954 0.609 2 4 1 5 4.000 4.455 -0.216 2 4 1 6 9.000 8.504 0.170 2 4 2 1 0.000 1.871 -1.368 2 4 2 2 1.000 1.442 -0.368 2 4 2 3 3.000 2.573 0.266 2 4 2 4 6.000 10.648 -1.424 2 4 2 5 9.000 8.955 0.015 2 4 2 6 27.000 16.227 2.674 2 4 3 1 2.000 3.344 -0.735 2 4 3 2 3.000 2.625 0.231 2 4 3 3 2.000 3.327 -0.727 2 4 3 4 11.000 13.062 -0.571 2 4 3 5 27.000 19.167 1.789 2 4 3 6 20.000 21.398 -0.302 2 4 4 1 9.000 11.015 -0.607 2 4 4 2 12.000 8.702 1.118 2 4 4 3 11.000 13.007 -0.557 2 4 4 4 10.000 15.596 -1.417 2 4 4 5 23.000 23.044 -0.009 2 4 4 6 31.000 27.269 0.714 2 4 5 1 16.000 14.184 0.482 2 4 5 2 7.000 15.657 -2.188 2 4 5 3 5.000 14.558 -2.505 2 4 5 4 19.000 19.800 -0.180 2 4 5 5 33.000 37.458 -0.728 2 4 5 6 40.000 40.091 -0.014 2 4 6 1 21.000 14.898 1.581 2 4 6 2 14.000 9.745 1.363 2 4 6 3 13.000 7.906 1.812 2 4 6 4 20.000 20.204 -0.045 2 4 6 5 21.000 22.966 -0.410 2 4 6 6 61.000 59.241 0.229 *** LOG-LINEAR PARAMETERS *** * TABLE SALH [or P(SALH)] * effect beta exp(beta) main 1.6754 5.3411 S 1 0.1430 1.1537 2 -0.1430 0.8667 A 1 -0.1949 0.8229 2 0.2902 1.3367 3 -0.4360 0.6466 4 0.3407 1.4060 L 1 -0.5990 0.5493 2 0.0242 1.0245 3 0.0733 1.0761 4 0.4303 1.5378 5 0.2744 1.3157 6 -0.2032 0.8161 H 1 -0.2779 0.7574 2 -0.4674 0.6266 3 -0.3720 0.6894 4 0.0573 1.0590 5 0.3036 1.3548 6 0.7563 2.1304 SA 1 1 0.1606 1.1742 1 2 -0.3856 0.6800 1 3 0.5037 1.6549 1 4 -0.2787 0.7567 2 1 -0.1606 0.8516 2 2 0.3856 1.4705 2 3 -0.5037 0.6043 2 4 0.2787 1.3215 SL 1 1 0.3882 1.4743 1 2 0.2172 1.2426 1 3 -0.0261 0.9743 1 4 -0.1053 0.9001 1 5 -0.2924 0.7465 1 6 -0.1817 0.8338 2 1 -0.3882 0.6783 2 2 -0.2172 0.8047 2 3 0.0261 1.0264 2 4 0.1053 1.1110 2 5 0.2924 1.3396 2 6 0.1817 1.1993 SH 1 1 -1.3499 0.2593 1 2 -0.9317 0.3939 1 3 -0.4394 0.6444 1 4 -0.1487 0.8618 1 5 0.7859 2.1945 1 6 2.0838 8.0347 2 1 1.3499 3.8572 2 2 0.9317 2.5388 2 3 0.4394 1.5517 2 4 0.1487 1.1603 2 5 -0.7859 0.4557 2 6 -2.0838 0.1245 LH 1 1 0.8313 2.2962 1 2 -0.7072 0.4930 1 3 -0.6852 0.5040 1 4 -0.3207 0.7256 1 5 0.0992 1.1042 1 6 0.7826 2.1872 2 1 -0.5633 0.5693 2 2 -0.1283 0.8796 2 3 0.0447 1.0457 2 4 0.0965 1.1013 2 5 0.3186 1.3752 2 6 0.2318 1.2608 3 1 -0.3174 0.7281 3 2 0.0706 1.0732 3 3 0.0617 1.0636 3 4 0.2590 1.2956 3 5 0.0733 1.0760 3 6 -0.1472 0.8631 4 1 0.0164 1.0166 4 2 0.2789 1.3217 4 3 0.3136 1.3683 4 4 0.1240 1.1320 4 5 -0.3216 0.7250 4 6 -0.4113 0.6628 5 1 -0.1719 0.8420 5 2 0.3378 1.4019 5 3 0.2802 1.3233 5 4 -0.0659 0.9362 5 5 0.0903 1.0946 5 6 -0.4705 0.6247 6 1 0.2049 1.2274 6 2 0.1481 1.1596 6 3 -0.0150 0.9851 6 4 -0.0928 0.9113 6 5 -0.2598 0.7712 6 6 0.0146 1.0147 SLH 1 1 1 0.0179 1.0181 1 1 2 -0.2234 0.7998 1 1 3 0.2951 1.3433 1 1 4 -0.3864 0.6795 1 1 5 -0.0813 0.9219 1 1 6 0.3781 1.4595 1 2 1 -0.0031 0.9969 1 2 2 0.2199 1.2459 1 2 3 -0.0981 0.9066 1 2 4 -0.4143 0.6608 1 2 5 0.2772 1.3195 1 2 6 0.0184 1.0186 1 3 1 0.1085 1.1146 1 3 2 0.2664 1.3053 1 3 3 0.1084 1.1145 1 3 4 -0.0098 0.9903 1 3 5 -0.2827 0.7537 1 3 6 -0.1908 0.8263 1 4 1 -0.0235 0.9768 1 4 2 0.0026 1.0026 1 4 3 -0.2769 0.7582 1 4 4 0.4043 1.4982 1 4 5 -0.1355 0.8733 1 4 6 0.0290 1.0294 1 5 1 -0.1209 0.8861 1 5 2 -0.1821 0.8335 1 5 3 -0.0792 0.9239 1 5 4 0.3195 1.3765 1 5 5 0.1345 1.1439 1 5 6 -0.0718 0.9307 1 6 1 0.0211 1.0214 1 6 2 -0.0833 0.9200 1 6 3 0.0506 1.0518 1 6 4 0.0867 1.0906 1 6 5 0.0878 1.0918 1 6 6 -0.1629 0.8497 2 1 1 -0.0179 0.9822 2 1 2 0.2234 1.2503 2 1 3 -0.2951 0.7444 2 1 4 0.3864 1.4717 2 1 5 0.0813 1.0847 2 1 6 -0.3781 0.6852 2 2 1 0.0031 1.0031 2 2 2 -0.2199 0.8026 2 2 3 0.0981 1.1031 2 2 4 0.4143 1.5133 2 2 5 -0.2772 0.7579 2 2 6 -0.0184 0.9818 2 3 1 -0.1085 0.8972 2 3 2 -0.2664 0.7661 2 3 3 -0.1084 0.8972 2 3 4 0.0098 1.0098 2 3 5 0.2827 1.3267 2 3 6 0.1908 1.2102 2 4 1 0.0235 1.0237 2 4 2 -0.0026 0.9974 2 4 3 0.2769 1.3190 2 4 4 -0.4043 0.6675 2 4 5 0.1355 1.1451 2 4 6 -0.0290 0.9715 2 5 1 0.1209 1.1285 2 5 2 0.1821 1.1998 2 5 3 0.0792 1.0824 2 5 4 -0.3195 0.7265 2 5 5 -0.1345 0.8742 2 5 6 0.0718 1.0744 2 6 1 -0.0211 0.9791 2 6 2 0.0833 1.0869 2 6 3 -0.0506 0.9507 2 6 4 -0.0867 0.9170 2 6 5 -0.0878 0.9159 2 6 6 0.1629 1.1769 type 2 association (group=S row=A column=L) association 3.3981 0.0000 row 1 -0.4963 -0.4963 0.5818 0.4109 2 -0.4523 -0.4523 0.1508 0.7538 adj row 1 -0.9149 -0.9149 1.0725 0.7574 2 0.0000 0.0000 -0.0000 -0.0000 column 1 -0.4111 -0.3683 -0.2234 -0.0465 0.3094 0.7400 2 -0.4111 -0.3683 -0.2234 -0.0465 0.3094 0.7400 adj column 1 -0.7579 -0.6789 -0.4119 -0.0857 0.5703 1.3641 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 3.3286 row 1 -0.4523 -0.4523 0.1508 0.7538 2 -0.4858 -0.4858 0.6533 0.3182 adj row 1 0.0000 0.0000 -0.0000 -0.0000 2 -0.8862 -0.8862 1.1920 0.5805 column 1 -0.4295 -0.3889 -0.2435 0.0304 0.3257 0.7057 2 -0.4295 -0.3889 -0.2435 0.0304 0.3257 0.7057 adj column 1 -0.0000 -0.0000 -0.0000 0.0000 0.0000 0.0000 2 -0.7836 -0.7094 -0.4442 0.0555 0.5941 1.2876 type 2 association (group=S row=A column=H) association -7.9313 0.0000 row 1 0.6708 0.3354 0.6043 0.2689 2 0.4714 0.2357 0.7071 0.4714 adj row 1 -1.8891 -0.9446 -1.7020 -0.7574 2 -0.0000 -0.0000 -0.0000 -0.0000 column -0.4111 -0.3683 -0.2234 -0.0465 0.3094 0.7400 adj column 1 -1.1578 -1.0371 -0.6293 -0.1309 0.8712 2.0840 type 2 association (group=S row=A column=H) association 0.0000 6.6703 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 -1.2913 1.2913 -1.2913 1.2913 column -0.4295 -0.3889 -0.2435 0.0304 0.3257 0.7057 adj column 1 -0.0000 -0.0000 -0.0000 0.0000 0.0000 0.0000