
Dear All,

I have been trying to use rMAT and its tutorial (http://wiki.rglab.org/index.php?title=Public:RMAT 
). I am working with MacOSX and a recent R version. I was able to  
install rMAT (at least it loads correctly in R when launching it from  
the package manager window) as well as the data set which is used in  
the tutorial. I can load the different datasets separately, but when I  
try to combine them into a single variable, I get this error message  
(see below). I do not know what is going on.. R seems to be unable to  
convert some variables (see error highlighted in red).

I would appreciate any help. Thanks in advance,

Patrick



R version 2.9.1 (2009-06-26)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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[R.app GUI 1.28 (5444) i386-apple-darwin8.11.1]




Attachement du package : 'gsl'


	The following object(s) are masked from package:stats :

	 sd

Le chargement a nécessité le package : biomaRt
Le chargement a nécessité le package : grid


celA<-c("MCF_ER_A1.CEL","MCF_ER_A3.CEL", "MCF_ER_A4.CEL",  
"MCF_INP_A1.CEL", "MCF_INP_A3.CEL","MCF_INP_A4.CEL")
 > ERA<-BPMAPCelParser(bpmapA, celA, seqName="chr2")
 > bpmapB<-"P1_CHIP_B.Anti-Sense.hs.NCBIv35.NR.bpmap"
 > celB<-c("MCF_ER_B1.CEL","MCF_ER_B3.CEL", "MCF_ER_B4.CEL",  
"MCF_INP_B1.CEL", "MCF_INP_B3.CEL","MCF_INP_B4.CEL")
 > ERB<-BPMAPCelParser(bpmapB, celB, seqName="chr2")
 > bpmapC<-"P1_CHIP_C.Anti-Sense.hs.NCBIv35.NR.bpmap"
 > celC<-c("MCF_ER_C1.CEL","MCF_ER_C3.CEL", "MCF_ER_C4.CEL",  
"MCF_INP_C1.CEL", "MCF_INP_C3.CEL","MCF_INP_C4.CEL")
 > ERC<-BPMAPCelParser(bpmapC, celC, seqName="chr2")


Erreur dans .Method(..., deparse.level = deparse.level) :
   pas de méthode pour convertir automatiquement cette classe S4 en  
vecteur


 > sessionInfo()
R version 2.9.1 (2009-06-26)
i386-apple-darwin8.11.1

locale:
fr_CH.UTF-8/fr_CH.UTF-8/C/C/fr_CH.UTF-8/fr_CH.UTF-8

attached base packages:
[1] grid      stats     graphics  grDevices utils     datasets   
methods   base

other attached packages:
[1] GenomeGraphs_1.4.1 biomaRt_2.0.0      gsl_1.8-14         rMAT_1.1.2

loaded via a namespace (and not attached):
[1] affxparser_1.16.0 Biobase_2.4.1     RCurl_0.98-1      XML_2.6-0

  
  
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