# Re: [R] glht: Problem with symbolic contrast for factors withnumber-levels

From: William Dunlap <wdunlap_at_tibco.com>
Date: Fri, 04 Mar 2011 11:33:45 -0800

> -----Original Message-----
> From: r-help-bounces@r-project.org
> [mailto:r-help-bounces_at_r-project.org] On Behalf Of Ulrich Halekoh
> Sent: Friday, March 04, 2011 11:04 AM
> To: r-help_at_r-project.org
> Subject: [R] glht: Problem with symbolic contrast for factors
> withnumber-levels
>
> Using a factor with 'number' levels the straightforward
> symbolic formulation of a contrast in 'glht' of
> the 'multcomp' package fails.
>
> How can this problem be resolved without having to redefine
> the factor levels?
>
> Example:
> #A is a factor with 'number' levels
> #B similar factor with 'letter' levels
> dat<-data.frame(y=1:4,A=factor(c(1,1,2,2)),
> B=factor(c('e','e','f','f')) )
> motA<-lm(y~A,data=dat)
> motB<-lm(y~B,data=dat)
> library(multcomp)
> #does not work
> glht(motA,linfct=mcp(A=c("2 - 1 = 0 ")))
>
> #the error message is
> # Error in coefs(ex[[3]]) :
> # cannot interpret expression '1' as linear function

Try putting backquotes around the factor levels so the R parser makes names out of them.

> glht(motA,linfct=mcp(A=c("`2` - `1` = 0 ")))

General Linear Hypotheses

Multiple Comparisons of Means: User-defined Contrasts

Linear Hypotheses:

```                 Estimate
`2` - `1` == 0        2

```

Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
>
> #works
> glht(motB,linfct=mcp(B=c("f - e = 0")))
>
> regards
>
> Ulrich Halekoh
> Aarhus University
> e-mail: Ulrich.Halekoh_at_agrsci.dk
>
> I use R.2.12.2, package version of multcomp : 1.2-5
>
> ______________________________________________
> 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.
>

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. Received on Fri 04 Mar 2011 - 19:39:07 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Fri 04 Mar 2011 - 20:00:19 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.