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32727
2005 Oct 12
0
Model parameterization / Factor Levels
Dear R users;
I'm looking for some hint about how to deal with the following situation:
Response = Y
Factor A = levels: 0, 1
Factor B = levels: 0, 1
Factor C = levels: 1,2,3,4
Model: Logistic 3-parms.
where th1~1+A+C, th2~1+C; th3~1
For 'simplicity' (for me) I'm using the SAS contrast parameterization.
The output looks like
Beta p-value
th1.(Intercept) 550
2012 Sep 24
0
Deldir() Thiessen Polygons Problem
...313778 6346307
314501 6078522
317952 5719729
318463 6404043
318756 6376442
319466 6169677
319780 6410660
321707 6269850
321775 6344884
324533 6392967
326123 6257882
326365 6248857
328455 6189449
330115 6448825
331135 6353060
331232 6292177
331337 6286171
331839 6337728
331872 6437764
331897 6433051
332727 6156581
334907 6338859
335037 6420380
336070 6353112
336404 6421604
336501 6187899
337307 6374237
338408 6375364
338660 6215240
338866 6432887
340404 6395390
341945 6411865
342326 6230308
347149 6297712
349988 6382600
350240 6365969
351271 6207960
351459 6402800
351664 6403111
352877 6272845
357081...