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the Matching() package by Jasjeet Sekhon does propensity score matching in a very user friendly way. (as you said you don't want to reinvent the wheel...) just feed it with the fitted values from a glm model (fitted$myglmmodel...
dear all, i'm just about to do some straightforward contingency tables using ftables (and ctab() for percents). the problem: factor "a" are regions, factor "b" are subregions. every region "a" consists of some subregions "b", but obviously not every...
thanks, but not quite what i wanted. to be more precise: i want the whole zero-lines to be deleted, including the attribute. in my final table only rows with non-zero rows should remain. regarding my small toy example...
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