[BioC] Pairwise Comparison error
James W. MacDonald
jmacdon at med.umich.edu
Tue Nov 23 20:57:45 CET 2010
Hi Lakshmi,
First off, you really need to give people more information than this.
For instance, what package is pairwise.comparison() in? There are over
350 BioC packages now, so you have to explicitly say what package you
are using (people aren't generally going to go to great effort to figure
out where this function comes from, just so they can help you). In
addition, always give the output of sessionInfo().
On 11/23/2010 2:27 PM, Lakshmi Kastury wrote:
>
> Hi-
> I am in the process of analyzing affymetrix data for prostate cancer patients. I have generated expression data with the RMA function and need to do a pairwise comparison. Can someone please help as to what this error means:
>
> results<- pairwise.comparison(x.rma, "Phenotype", c("normal", "cancerous"), raw.data)
>
> Error in fastT(cbind(a.samples, b.samples), 1:ai, (ai + 1):(ai + bi), :
> wrong sets of columns
This indicates that there is some problem with either the column name
you specified or the column values. Or maybe with the code. It's hard to
say.
I would first ensure that there is a column name "Phenotype" in the
pData slot of x.rma, and that there are values "normal","cancerous" in
that column. If true, there may be a bug.
If there is a bug, the best idea is for you to take things into your own
hands and see what is happening. So try
library(simpleaffy)
debug(get.fold.change.and.t.test)
results<- pairwise.comparison(x.rma, "Phenotype", c("normal",
"cancerous"), raw.data)
then when you enter get.fold.change.and.t.test(), step through and make
sure that you are getting reasonable subsets of your data (e.g.,
a.samples and b.samples look reasonable).
Best,
Jim
>
>
> Thanks!
>
> [[alternative HTML version deleted]]
>
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--
James W. MacDonald, M.S.
Biostatistician
Douglas Lab
University of Michigan
Department of Human Genetics
5912 Buhl
1241 E. Catherine St.
Ann Arbor MI 48109-5618
734-615-7826
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