[BioC] question subsetting expressionSet

[J.Oosting at lumc.nl]

An alternative would be to read in your phenodata with as.is=TRUE. Then all variables in the dataframe will be vectors. You can generate the factors when you need them ie. When constructing a model for the analysis.

pheno <- read.delim(file="A213_metadata.txt", row.names=1,as.is=TRUE)


Jan

I think the as.data.frame() is superfluous. The result of read.delim is already a dataframe

> > # read data & normalize
> >library(affyPLM)
> 
> >pheno <- read.delim(file="A213_metadata.txt", row.names=1)
> >affy.data <- ReadAffy(cdfname="mogene11stv1mmentrezg",
> phenoData=as.data.frame(pheno))
> >