Dear Vicki, I think that the Anova() function in the car package will do what you want (and will also properly handle models with more structure, such as interactions).
Best, John -------------------------------- John Fox Senator William McMaster Professor of Social Statistics Department of Sociology McMaster University Hamilton, Ontario, Canada http://socserv.mcmaster.ca/jfox > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of Vickie S > Sent: February-08-12 3:57 PM > To: r-help@r-project.org > Subject: [R] dropterm in MANOVA for MLM objects > > > Dear R fans, > I have got a difficult sounding problem. > > For fitting a linear model using continuous response and then for re- > fitting the model after excluding every single variable, the following > functions can be used. > library(MASS) > model = lm(perf ~ syct + mmin + mmax + cach + chmin + chmax, data = > cpus) dropterm(model, test = "F") > > But I am not sure whether any similar functions is available in R for > multivariate data with categorical response. > My data looks like the following: > mat <- matrix(rnorm(700), ncol=5, dimnames=list( paste("f", c(1:140), > sep="_"), c("A", "B", "C", "D", "E"))) > > There are 140 features describing 5 different plant species. I want to > retain only those features that show good performance in model (by > using a function similar to dropterm, which can not be used for mlm > objects). > > I wud appreciate some hints n suggestions. > > Thx > - Vickie > > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. ______________________________________________ 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.
