Ran this with the example of the vignette and a different error shows up
file.list=list( system.file("extdata", "test1.myCpG.txt", package = "methylKit"),
+ system.file("extdata", "test2.myCpG.txt", package = "methylKit"),
+ system.file("extdata", "control1.myCpG.txt", package = "methylKit"),
+ system.file("extdata", "control2.myCpG.txt", package = "methylKit") )
myobj=methRead( file.list,
sample.id=list("test1","test2","ctrl1","ctrl2"),assembly="hg18",treatment=c(1,1,0,0))
filtered.myobj=filterByCoverage(myobj,lo.count=10,lo.perc=NULL,
hi.count=NULL,hi.perc=99.9)
meth=unite(filtered.myobj, destrand=TRUE,min.per.group=1L)
myDiffFiltered = getMethylDiff(myDiff)
gene.obj=readTranscriptFeatures(system.file("extdata", "refseq.hg18.bed.txt",
package = "methylKit"))
promoters=regionCounts(meth,gene.obj$promoters,cov.bases = 3)
> myDiffpromoters = calculateDiffMeth(promoters, num.cores = 4)
Error in if (any(y < 0 | y > 1)) stop("y values must be 0 <= y <= 1") :
missing value where TRUE/FALSE needed
______
> sessionInfo()
R version 3.3.3 (2017-03-06)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X Mavericks 10.9.5
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 stats4 parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] TxDb.Mmusculus.UCSC.mm10.ensGene_3.2.2 GenomicFeatures_1.24.5
[3] AnnotationDbi_1.34.4 Biobase_2.32.0
[5] BiocInstaller_1.22.3 bindrcpp_0.2
[7] dplyr_0.7.4 reshape2_1.4.2
[9] ggplot2_2.2.1 edmr_0.6.4.1
[11] devtools_1.13.3 methylKit_0.99.2
[13] genomation_1.4.2 GenomicRanges_1.24.3
[15] GenomeInfoDb_1.8.7 IRanges_2.6.1
[17] S4Vectors_0.10.3 BiocGenerics_0.18.0
[19] biomaRt_2.28.0
loaded via a namespace (and not attached):
[1] mixtools_1.1.0 httr_1.3.1 bit64_0.9-7 splines_3.3.3
[5] R.utils_2.5.0 gtools_3.5.0 assertthat_0.2.0 blob_1.1.0
[9] BSgenome_1.40.1 Rsamtools_1.24.0 impute_1.46.0 numDeriv_2016.8-1
[13] RSQLite_2.0 lattice_0.20-35 glue_1.2.0 limma_3.28.21
[17] bbmle_1.0.20 digest_0.6.12 XVector_0.12.1 qvalue_2.4.2
[21] colorspace_1.3-2 Matrix_1.2-11 R.oo_1.21.0 plyr_1.8.4
[25] pkgconfig_2.0.1 XML_3.98-1.9 emdbook_1.3.9 zlibbioc_1.18.0
[29] scales_0.5.0 BiocParallel_1.6.6 git2r_0.19.0 tibble_1.3.4
[33] seqPattern_1.4.0 withr_2.0.0 SummarizedExperiment_1.2.3 lazyeval_0.2.1
[37] survival_2.41-3 magrittr_1.5 mclust_5.3 memoise_1.1.0
[41] R.methodsS3_1.7.1 MASS_7.3-47 segmented_0.5-2.2 tools_3.3.3
[45] data.table_1.10.4-3 hms_0.3 matrixStats_0.52.2 gridBase_0.4-7
[49] stringr_1.2.0 munsell_0.4.3 plotrix_3.6-6 Biostrings_2.40.2
[53] fastseg_1.18.0 rlang_0.1.2 RCurl_1.95-4.8 labeling_0.3
[57] bitops_1.0-6 gtable_0.2.0 DBI_0.7 curl_3.0
[61] R6_2.2.2 GenomicAlignments_1.8.4 knitr_1.17 rtracklayer_1.32.2
[65] bit_1.1-12 bindr_0.1 KernSmooth_2.23-15 readr_1.1.1
[69] stringi_1.1.5 Rcpp_0.12.13 coda_0.19-1