[BioC] RankProd Error Message
nicholas-ettinger at uiowa.edu
Wed Jan 4 20:41:11 CET 2006
Thank you for the information! I think that I almost have it. I didn't
realize that I needed to input a matrix-format data set.
With regards the 'two-class' vs. pairwise question, I'm still not quite
sure which I need. My statistics background is not so solid and so I
don't have good insight here.
My samples below correspond (i.e. 1 -> 4) to 4 different individuals
sampled on different days. In other words, each individual experiment
consisted of cells from one individual tested under 4 conditions (MDM
only, MDM-INF, MDM-T only, MDM-T INF), and this whole experiment was
repeated (on different days) with 4 people overall. I.e. 4 people x 4
conditions each time @ 1 array per condition = 16 arrays.
With that extra information, any insights on how to set up the 'cl'
Or should I really be taking an average of each of the 4 matrices for
each condition first? So that I end up with 4 "average" data sets?
Thanks! I have been really struggling with this concept.
From: fhong at salk.edu [mailto:fhong at salk.edu]
Sent: Wednesday, January 04, 2006 1:10 PM
To: Ettinger, Nicholas
Cc: bioconductor at stat.math.ethz.ch
Subject: Re: [BioC] RankProd Error Message
Since there are two classed in your data, the class label(eset.cl)
have two categories only. Try to use
eset.cl <- rep(c(rep(0,4),rep(1,4)),2)
 0 0 0 0 1 1 1 1 0 0 0 0 1 1 1 1
then your class "INF" would be class 1 and "NONINF" would be class 2.
make sure your eset_rma is not a affybatch object, but a matrix-format
But if your experiment is pairwise design,meaning 1 and -1 is a pair, 2
and -2 is a pair and so on, then you need to get ratio of 1/-1, 2/-2,...
and use the "one-class" option in function RP.
Let me know what you get.
> Hello all!
> I'm trying to analyze 16 Affy arrays with SAM, Limma and RankProd to
> look at differential expression.
> I got the following error message from the RP function. Any help as
> what it means?
>> RP.out<- RP(eset_rma, eset.cl, num.perm = 100, logged=TRUE,
> na.rm=FALSE, plot=FALSE, gene.names=eset.gnames)
> Error in if (total.sam != total.sam2) stop("Number of classes should
> match the columns in the data") :
> argument is of length zero
> I have included below the phenotype data of eset_rma and the listing
> SAMPLE_NUM TREATMENT TCELLS
> NE_MDM-INF1.CEL 1 INF N
> NE_MDM-INF2.CEL 2 INF N
> NE_MDM-INF3.CEL 3 INF N
> NE_MDM-INF4.CEL 4 INF N
> NE_MDM-T-1.CEL 5 NONINF Y
> NE_MDM-T-2.CEL 6 NONINF Y
> NE_MDM-T-3.CEL 7 NONINF Y
> NE_MDM-T-4.CEL 8 NONINF Y
> NE_MDM-T-INF-1.CEL 9 INF Y
> NE_MDM-T-INF-2.CEL 10 INF Y
> NE_MDM-T-INF-3.CEL 11 INF Y
> NE_MDM-T-INF-4.CEL 12 INF Y
> NE_MDM1.CEL 13 NONINF N
> NE_MDM2.CEL 14 NONINF N
> NE_MDM3.CEL 15 NONINF N
> NE_MDM4.CEL 16 NONINF N
>  1 2 3 4 -5 -6 -7 -8 5 6 7 8 -1 -2 -3 -4
> Thanks for any help you can provide!
> ---Nick Ettinger
> [[alternative HTML version deleted]]
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Fangxin Hong Ph.D.
Plant Biology Laboratory
The Salk Institute
10010 N. Torrey Pines Rd.
La Jolla, CA 92037
E-mail: fhong at salk.edu
(Phone): 858-453-4100 ext 1105
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