[BioC] [Fwd: Re: automating makeContrasts call in limm]
Francois Pepin
fpepin at cs.mcgill.ca
Mon Mar 13 18:04:45 CET 2006
Hi Gordon,
I should mention that the behavior is different with R 2.2, but it still
doesn't work.
> myContrasts<-c("t1-t2","t1-3","t2-t3")
> contrast.matrix<-makeContrasts(myContrasts,levels=design)
Error in eval(expr, envir, enclos) : object "myContrasts" not found
> traceback()
3: eval(expr, envir, enclos)
2: eval(ej, envir = levelsenv)
1: makeContrasts(myContrasts, levels = design)
> sessionInfo()
R version 2.2.0, 2005-10-06, x86_64-redhat-linux-gnu
attached base packages:
[1] "methods" "stats" "graphics" "grDevices" "utils"
"datasets"
[7] "base"
other attached packages:
limma
"2.3.7"
I don't have any machine with R 2.3, but I could install it.
Francois
On Mon, 2006-03-13 at 11:31 -0500, Francois Pepin wrote:
> > > Ideally, I would want to have a way to do:
> > >
> > > myContrasts<-c("t1-t2","t1-3","t2-t3")
> > > contrast.matrix<-makeContrasts(myContrasts,levels=design)
> >
> > Your question isn't clear, at least not to me. What is wrong with the code you've just given?
>
> Sorry, I thought this was a well-known "feature" of the makeContrasts
> function, so I didn't go into the details.
>
> So to complete the toy example with 3 treatments and dye swaps of each:
>
> > design
> t1 t2 t3
> [1,] -1 0 0
> [2,] 1 0 0
> [3,] 0 -1 0
> [4,] 0 1 0
> [5,] 0 0 -1
> [6,] 0 0 1
>
> > myContrasts
> [1] "t1-t2" "t1-3" "t2-t3"
>
> > contrast.matrix<-makeContrasts(myContrasts,levels=design)
> > contrast.matrix
> myContrasts
> t1 "t1-t2"
> t2 "t1-3"
> t3 "t2-t3"
>
> Which doesn't make for a usable design matrix. The expected behavior is:
>
> > contrast.matrix<-makeContrasts("t1-t2","t1-t3","t2-t3",levels=design)
> > contrast.matrix
> t1-t2 t1-t3 t2-t3
> t1 1 1 0
> t2 -1 0 1
> t3 0 -1 -1
>
> > sessionInfo()
> R version 2.1.0, 2005-04-18, x86_64-unknown-linux-gnu
>
> attached base packages:
> [1] "methods" "stats" "graphics" "grDevices" "utils"
> "datasets"
> [7] "base"
>
> other attached packages:
> limma
> "1.9.6"
>
>
>
> > Is your question that you'd like to compute all pairwise comparisons between hundreds of different
> > treatments or patients?
>
> No. I have tumors and normal samples for each patient. One of the things
> I'd like to do is tumor vs normal for all each of the patients. Another
> would be to automate the comparisons between clinical variables. It's
> just cumbersome (and error-prone) to do by hand when there are over 50
> patients.
>
> Francois
>
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