Try the functions Anova() or linear.hypthesis() in the package "car". If using Anova(), you probably want the type II table.
Ian Fiske dl7631 wrote: > > 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. > > -- View this message in context: http://www.nabble.com/percentage-of-variance-explained-by-factors-tp21922703p21925995.html Sent from the R help mailing list archive at Nabble.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.