[BioC] HELP| Agilent Sureprint data , CGH analysis with limma and snapCGH
Gabriel Wajnberg [guest]
guest at bioconductor.org
Tue Aug 14 21:14:02 CEST 2012
> HC8204T <- read.maimages(c("HC8204_US09423728_252192411868_S01_CGH_107_Sep09_2_1.txt", "HC8204_US09423728_252192411868_S01_CGH_107_Sep09_2_3.txt"), source="agilent",columns = list(G = "gMedianSignal", Gb = "gBGMedianSignal", R = "rMedianSignal",
+ Rb = "rBGMedianSignal"), annotation = c("Row", "Col","FeatureNum", "ControlType","ProbeName"))
> HC8204T$design <- c(1,-1)
> RGT <- backgroundCorrect(HC8204T, method="minimum", offset=1)
> MAT <- normalizeWithinArrays(RGT, method="loess")
> pros <- processCGH(MA)
Error in order(MA$genes$Chr, MA$genes$Position) :
argument 1 is not a vector
So why does this error happens? is this the right way to analyze this data???
thanks
Gabriel
-- output of sessionInfo():
> sessionInfo()
R version 2.15.1 (2012-06-22)
Platform: x86_64-pc-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=C LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] snapCGH_1.26.0 DNAcopy_1.30.0 limma_3.12.1
loaded via a namespace (and not attached):
[1] aCGH_1.34.0 affy_1.34.0 affyio_1.24.0
[4] annotate_1.34.1 AnnotationDbi_1.18.1 Biobase_2.16.0
[7] BiocGenerics_0.2.0 BiocInstaller_1.4.7 cluster_1.14.2
[10] DBI_0.2-5 genefilter_1.38.0 GLAD_2.18.0
[13] grid_2.15.1 IRanges_1.14.4 lattice_0.20-6
[16] MASS_7.3-20 multtest_2.12.0 pixmap_0.4-11
[19] preprocessCore_1.18.0 RColorBrewer_1.0-5 RSQLite_0.11.1
[22] splines_2.15.1 stats4_2.15.1 strucchange_1.4-7
[25] survival_2.36-14 tilingArray_1.34.0 tools_2.15.1
[28] vsn_3.24.0 XML_3.9-4 xtable_1.7-0
[31] zlibbioc_1.2.0
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