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@guest-user-4897
Last seen 10.2 years ago
Dear Users,
I met an error that struggled me really long time to figure out. I
tried to use detectDMR.slideWin() function, but no matter how I change
the factors assign to sampleType, it still has the error.
I have several different conditions in a factor - Stage (PRE, POST-
ACUTE, POST-COL and POST-LAT). I would like to compare POST-ACUTE with
PRE.
Here are script:
Mset.postAcute=Mset[,Mset$Stage=='POST-ACUTE']
postAcute <- Mset.postAcute$Stage
Mset.pre=Mset[,Mset$Stage=='PRE']
pre <- Mset.pre$Stage
ResultStage <- detectDMR.slideWin(Mset, sampleType=c(postAcute, pre))
Error message:
Error in rowcoltt(x, fac, tstatOnly, 1L) :
length(fac)=42, ncol(x)=80, should be the same.
In addition: Warning messages:
1: Please use rownames. We are switching away from eSet-specific
methods.
2: Please use colnames. We are switching away from eSet-specific
methods.
3: Please use rownames. We are switching away from eSet-specific
methods.
4: Please use colnames. We are switching away from eSet-specific
methods.
-- output of sessionInfo():
> sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-apple-darwin10.8.0 (64-bit)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] grid parallel stats graphics grDevices utils
datasets methods base
other attached packages:
[1] FDb.InfiniumMethylation.hg19_2.0.10
BSgenome.Hsapiens.UCSC.hg19_1.3.19 BSgenome_1.30.0
GenomicFeatures_1.14.5
[5] methyAnalysis_1.4.2 org.Hs.eg.db_2.10.1
RSQLite_0.11.4 DBI_0.2-7
[9] AnnotationDbi_1.24.0 lumi_2.14.2
BiocInstaller_1.12.1 VariantAnnotation_1.8.13
[13] Rsamtools_1.14.3 Biostrings_2.30.1
GenomicRanges_1.14.4 XVector_0.2.0
[17] IRanges_1.20.7 ggplot2_1.0.0
phyloseq_1.6.1 picante_1.6-2
[21] nlme_3.1-117 ape_3.1-2
ade4_1.6-2 knitr_1.6
[25] vegan_2.0-10 lattice_0.20-29
permute_0.8-3 biom_0.3.12
[29] metagenomeSeq_1.5.47 devtools_1.5
gplots_2.13.0 RColorBrewer_1.0-5
[33] matrixStats_0.10.0 limma_3.18.13
Biobase_2.22.0 BiocGenerics_0.8.0
loaded via a namespace (and not attached):
[1] affy_1.40.0 affyio_1.30.0 annotate_1.40.1
base64_1.1 beanplot_1.1 biomaRt_2.18.0
[7] biovizBase_1.10.8 bitops_1.0-6 bumphunter_1.2.0
caTools_1.17 cluster_1.15.2 codetools_0.2-8
[13] colorspace_1.2-4 dichromat_2.0-0 digest_0.6.4
doRNG_1.6 evaluate_0.5.5 foreach_1.4.2
[19] formatR_0.10 Formula_1.1-1 gdata_2.13.3
genefilter_1.44.0 genoset_1.14.0 gtable_0.1.2
[25] gtools_3.4.1 Gviz_1.6.0 Hmisc_3.14-4
httr_0.3 igraph_0.7.1 illuminaio_0.4.0
[31] iterators_1.0.7 itertools_0.1-3 KernSmooth_2.23-12
labeling_0.2 latticeExtra_0.6-26 locfit_1.5-9.1
[37] MASS_7.3-33 Matrix_1.1-4 mclust_4.3
memoise_0.2.1 methylumi_2.8.0 mgcv_1.7-29
[43] minfi_1.8.9 multtest_2.18.0 munsell_0.4.2
nleqslv_2.2 nor1mix_1.1-4 pkgmaker_0.22
[49] plyr_1.8.1 preprocessCore_1.24.0 proto_0.3-10
R.methodsS3_1.6.1 Rcpp_0.11.2 RCurl_1.95-4.1
[55] registry_0.2 reshape_0.8.5 reshape2_1.4
RJSONIO_1.2-0.2 rngtools_1.2.4 rtracklayer_1.22.7
[61] scales_0.2.4 siggenes_1.36.0 splines_3.0.2
stats4_3.0.2 stringr_0.6.2 survival_2.37-7
[67] tools_3.0.2 whisker_0.3-2 XML_3.95-0.2
xtable_1.7-3 zlibbioc_1.8.0
--
Sent via the guest posting facility at bioconductor.org.