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Hi there-
I've been using bumphunter within minfi to analyze my HM450 dataset
with good results, but I'm unable to use the smoothing function within
bumphunter. When "smooth = TRUE" it gives the error:
"Error in { : task 1 failed - "unused argument (cutoffQ = 0.99)"",
even though I have not included cutoffQ in the script.
The script below works fine with smooth = FALSE, but when set to true
gives the above error:
setwd("G:/Illumina/Brad/Minfi")
baseDir <- "G:/Illumina/Brad/Minfi/Scan Output"
targets <- read.450k.sheet(baseDir)
RGSet <- read.450k.exp(base = baseDir, targets = targets)
pd <- pData(RGSet)
pd[,1:4]
gRatioSet.quantile <- preprocessQuantile(RGSet, fixOutliers = TRUE,
removeBadSamples = TRUE, badSampleCutoff = 10.5, quantileNormalize =
TRUE, stratified = TRUE, mergeManifest = FALSE, sex = NULL)
Age <- pData(gRatioSet.quantile)$age
PMI <- pData(gRatioSet.quantile)$PMI
diagnosis <- pData(gRatioSet.quantile)$diagnosis
gender <- pData(gRatioSet.quantile)$gender
designMatrix <- model.matrix(~ diagnosis + Age + PMI + gender)
library(doParallel)
registerDoParallel(cores = 4)
dmrs <- bumphunter(gRatioSet.quantile, design = designMatrix,
maxGap=500, pickCutoff = TRUE, smooth = TRUE,
smoothFunction=locfitByCluster, B=1000)
write.csv(dmrs$table, file = "GAD1BroadDMRsSZ3Test6.csv")
Output of script:
[read.450k.sheet] Found the following CSV files:
[1] "G:/Illumina/Brad/Minfi/Scan Output/SampleSheetSZ32.csv"
[preprocessQuantile] Mapping to genome.
[preprocessQuantile] Fixing outliers.
[preprocessQuantile] Quantile normalizing.
[bumphunterEngine] Parallelizing using 4 workers/cores (backend:
doParallelSNOW, version: 1.0.8).
[bumphunterEngine] Computing coefficients.
[bumphunterEngine] Smoothing coefficients.
Error in { : task 1 failed - "unused argument (cutoffQ = 0.99)"
Any ideas where my error is?
Thanks,
Brad
-- output of sessionInfo():
> sessionInfo()
R version 3.0.3 (2014-03-06)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] parallel stats graphics grDevices utils datasets
methods
[8] base
other attached packages:
[1] doParallel_1.0.8
[2] IlluminaHumanMethylation450kanno.ilmn12.hg19_0.2.1
[3] IlluminaHumanMethylation450kmanifest_0.4.0
[4] doRNG_1.6
[5] rngtools_1.2.4
[6] pkgmaker_0.20
[7] registry_0.2
[8] minfi_1.8.9
[9] bumphunter_1.2.0
[10] locfit_1.5-9.1
[11] iterators_1.0.7
[12] foreach_1.4.2
[13] Biostrings_2.30.1
[14] GenomicRanges_1.14.4
[15] XVector_0.2.0
[16] IRanges_1.20.7
[17] reshape_0.8.5
[18] lattice_0.20-29
[19] Biobase_2.22.0
[20] BiocGenerics_0.8.0
loaded via a namespace (and not attached):
[1] annotate_1.40.1 AnnotationDbi_1.24.0 base64_1.1
[4] beanplot_1.1 codetools_0.2-8 compiler_3.0.3
[7] DBI_0.2-7 digest_0.6.4 genefilter_1.44.0
[10] grid_3.0.3 illuminaio_0.4.0 itertools_0.1-3
[13] limma_3.18.13 MASS_7.3-33 matrixStats_0.8.14
[16] mclust_4.3 multtest_2.18.0 nlme_3.1-117
[19] nor1mix_1.1-4 plyr_1.8.1 preprocessCore_1.24.0
[22] R.methodsS3_1.6.1 RColorBrewer_1.0-5 Rcpp_0.11.1
[25] RSQLite_0.11.4 siggenes_1.36.0 splines_3.0.3
[28] stats4_3.0.3 stringr_0.6.2 survival_2.37-7
[31] tools_3.0.3 XML_3.98-1.1 xtable_1.7-3
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