Hello! I've run a simple linear model: result<-lm(DV~A+B+C,data=Data)
My Data$A,Data$B, and Data$C are factors. So, lm automatically recoded them into dummy variables. I have all the results I need but one. Question: Where could I see the variance explained by all A dummy variables together, then all B dummy variables together, and all C dummy variables together - when other predictors are present (in other words, the sum of squared semi-partial correlations for all A dummy variables, B dummy variables, and C dummy variables)? Or is it just not possible with lm? Thank you very much! -- Dimitri Liakhovitski MarketTools, Inc. dimitri.liakhovit...@markettools.com ______________________________________________ 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.