On 08/04/2011 08:53 AM, Belmont, John W wrote:
I am trying to correct for the effect of 2 covariates in a gene
expression data set.
design<-model.matrix(~0 + Factor + cov1 + cov2)
QUESTION: How to set up the contrast matrix?
The usual commands
fit <- lmFit(selDataMatrix, design)
cont.matrix
Hi John,
The limma package is part of Bioconductor, so you should be asking this
question on the BioC listserv rather than
R-help.
In addition, please see the posting guide. The example you give is not
self-contained, and the term 'does not work' is so unspecific as to be
useless.
On 8/4
I am trying to correct for the effect of 2 covariates in a gene expression data
set.
design<-model.matrix(~0 + Factor + cov1 + cov2)
QUESTION:
How to set up the contrast matrix?
The usual commands
fit <- lmFit(selDataMatrix, design)
cont.matrix <- makeContrasts(FacCont=Group1-Group2, level
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