[R] dropterm in MANOVA for MLM objects

[John Fox]

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-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Vickie S
> Sent: February-08-12 3:57 PM
> To: r-help at 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]]
> 
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