Dear All, 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? Best wishes Federico ______________________________________________ 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.
