[Bioc-sig-seq] IRanges runmean Arithmetic Precision
Dario Strbenac
D.Strbenac at garvan.org.au
Mon Feb 14 04:00:09 CET 2011
Hi,
We've noticed that using runmean on Rles with all elements being a mix of positive or zero numbers sometimes results in some very small negative numbers. Is it possible for it to be exactly zero ?
> cvg
'numeric' Rle of length 199432144 with 1495580 runs
Lengths: 35100 35 ... 18
Values : 0 0.750447078847223 ... 0.750447078847223
> negs <- which(cvg < 0)
> negs
integer(0)
> smCvg <- IRanges::runmean(cvg, 1001, endrule = "constant")
> negs <- which(smCvg < 0)
> smCvg[head(negs)]
'numeric' Rle of length 6 with 1 run
Lengths: 6
Values : -1.56163238628593e-16
> sessionInfo()
R version 2.12.0 (2010-10-15)
Platform: x86_64-unknown-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_AU.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8
[5] LC_MONETARY=C LC_MESSAGES=en_AU.UTF-8
[7] LC_PAPER=en_AU.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] aroma.affymetrix_1.7.0 aroma.apd_0.1.7
[3] affxparser_1.22.0 R.huge_0.2.0
[5] aroma.core_1.7.0 aroma.light_1.18.0
[7] matrixStats_0.2.2 R.rsp_0.4.0
[9] R.cache_0.3.0 R.filesets_0.9.0
[11] digest_0.4.2 R.utils_1.5.3
[13] R.oo_1.7.4 R.methodsS3_1.2.1
[15] BSgenome.Hsapiens.UCSC.hg18_1.3.16 BSgenome_1.18.3
[17] Biostrings_2.18.2 GenomicRanges_1.2.3
[19] IRanges_1.8.9
loaded via a namespace (and not attached):
[1] Biobase_2.10.0 tools_2.12.0
--------------------------------------
Dario Strbenac
Research Assistant
Cancer Epigenetics
Garvan Institute of Medical Research
Darlinghurst NSW 2010
Australia
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