Hi, I have got a dataset with the variables Y,X1,X2,X3. Some of these variables contain NAs. Therefore incomplete datasets aren't recognized when I am doing a regression like:
model <- lm(Y~X1+X2+X3) so the resulting vector of resid(model) is obviousely shorter then the original variables. How can I combine the residuals-vector with the original dataset (Y,Xi,...). I recognize that the residuals give also a kind of an index like from the row names (2,5,7,8,9,12)... Is it possible to use in such a case the data.frame command? Or what is the best way to attach the resulting residuals back to the original dataframe with incomplete datasets? thanks /Johannes -- ______________________________________________ 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.
