Federico Calboli <f.calboli <at> imperial.ac.uk> writes: > is there a simple way that covers all regression models to extract > the number of samples from a data > frame/matrix actually used in a regression model? > > For instance I might have a data of 100 rows and 4 colums > (1 response + 3 explanatory variables). If 3 samples > have one or more NAs in the explanatory variable columns > these samples will be dropped in any model:
my.model = lm(y ~ x + w + z, my.data) my.model = glm(y ~ x + w + z, my.data, family = binomial) my.model = polr(y ~ x + w + z, my.data) > I don't seem to be able to find one single method that works > in the exact same way -- irrespective of the model > type -- to interrogate my.model to see how many samples of > my.data were actually used. Is there such > function or do I need to hack something together? I haven't tested it (don't want to bother to put together the test data), but does nrow(model.frame(my.model)) work ? ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
