Hi,
the file you sent loads fine over here, so I expect something in your installation.
If the smaller files load fine, I suspect RAM issues. How much memory do you have ?
> library(xcms)
Loading required package: mzR
Loading required package: Rcpp
xr <- xcmsRawLoading required package: BiocGenerics
Loading required package: parallel
Attaching package: ‘BiocGenerics’
The following objects are masked from ‘package:parallel’:
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following object is masked from ‘package:stats’:
xtabs
The following objects are masked from ‘package:base’:
anyDuplicated, append, as.data.frame, as.vector, cbind, colnames,
duplicated, eval, evalq, Filter, Find, get, intersect, is.unsorted,
lapply, Map, mapply, match, mget, order, paste, pmax, pmax.int,
pmin, pmin.int, Position, rank, rbind, Reduce, rep.int, rownames,
sapply, setdiff, sort, table, tapply, union, unique, unlist
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
("data2
Attaching package: ‘xcms’
The following object is masked from ‘package:Biobase’:
phenoData, phenoData<-
> xr <- xcmsRaw("data2.cdf")
> xr
An "xcmsRaw" object with 13257 mass spectra
Time range: 360-4204.2 seconds (6-70.1 minutes)
Mass range: 14.9984-519.9868 m/z
Intensity range: 0-1384450
MSn data on 0 mass(es)
with 0 MSn spectra
Profile method: bin
Profile step: 1 m/z (506 grid points from 15 to 520 m/z)
Memory usage: 5110 MB
> sessionInfo()
R version 3.0.0 Patched (2013-04-04 r62494)
Platform: x86_64-unknown-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=de_DE.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=de_DE.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=de_DE.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] parallel stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] xcms_1.43.1 Biobase_2.22.0 BiocGenerics_0.8.0 mzR_2.1.10
[5] Rcpp_0.11.2
loaded via a namespace (and not attached):
[1] codetools_0.2-14 zlibbioc_1.8.0
The matrix that you get has the dimensions:
> dim(xr@env$profile)
[1] 506 13257
So the 13257 correspond to the scans, the 506 grid points from 15 to 520 m/z.
Yours,
Steffen