Dimitri Liakhovitski
2009-Feb-09 21:44 UTC
[R] percentage of variance explained by factors
Hello! I've run a simple linear model: result<-lm(DV~A+B+C,data=Data) My Data$A,Data$B, and Data$C are factors. So, lm automatically recoded them into dummy variables. I have all the results I need but one. Question: Where could I see the variance explained by all A dummy variables together, then all B dummy variables together, and all C dummy variables together - when other predictors are present (in other words, the sum of squared semi-partial correlations for all A dummy variables, B dummy variables, and C dummy variables)? Or is it just not possible with lm? Thank you very much! -- Dimitri Liakhovitski MarketTools, Inc. Dimitri.Liakhovitski at markettools.com
Try the functions Anova() or linear.hypthesis() in the package "car". If using Anova(), you probably want the type II table. Ian Fiske dl7631 wrote:> > Hello! > > I've run a simple linear model: result<-lm(DV~A+B+C,data=Data) > > My Data$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.Liakhovitski at markettools.com > > ______________________________________________ > R-help at 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.