R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(pRoloc)
Loading required package: MSnbase
Loading 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 objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
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")'.
Loading required package: mzR
Loading required package: Rcpp
Loading required package: BiocParallel
Loading required package: ProtGenerics
This is MSnbase version 1.20.7
Read '?MSnbase' and references therein for information
about the package and how to get started.
Attaching package: 'MSnbase'
The following object is masked from 'package:stats':
smooth
The following object is masked from 'package:base':
trimws
Loading required package: MLInterfaces
Loading required package: annotate
Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: IRanges
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following objects are masked from 'package:base':
colMeans, colSums, expand.grid, rowMeans, rowSums
Loading required package: XML
Loading required package: cluster
This is pRoloc version 1.12.4
Read '?pRoloc' and references therein for information
about the package and how to get started.
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/pRoloc/sampleMSnSet.Rd_%03d_medium.png", width=480, height=480)
> ### Name: sampleMSnSet
> ### Title: Extract a stratified sample of an 'MSnSet'
> ### Aliases: sampleMSnSet
>
> ### ** Examples
>
> library(pRolocdata)
This is pRolocdata version 1.10.0.
Use 'pRolocdata()' to list available data sets.
> data(tan2009r1)
> dim(tan2009r1)
[1] 888 4
> smp <- sampleMSnSet(tan2009r1, fcol = "markers")
Warning message:
New sample contains classes with < 6 markers
> dim(smp)
[1] 182 4
> getMarkers(tan2009r1)
organelleMarkers
Cytoskeleton ER Golgi Lysosome Nucleus
7 28 13 8 21
PM Peroxisome Proteasome Ribosome 40S Ribosome 60S
34 4 15 20 32
mitochondrion unknown
29 677
> getMarkers(smp)
organelleMarkers
Cytoskeleton ER Golgi Lysosome Nucleus
2 6 3 2 5
PM Peroxisome Proteasome Ribosome 40S Ribosome 60S
7 1 3 4 7
mitochondrion unknown
6 136
>
>
>
>
>
> dev.off()
null device
1
>