Sample probeset index vector

Description

Vector indicating which probeset each probe belongs to

Usage

data(sample.ind)

Format

A vector of integers, e.g., c(1,1,1,2,2,3,3,3,4,4,...). Length is equal to the number of probes (rows) in sample.mat.

Examples

     data(sample.eS)
     data(sample.ind)
     trs.eS <- transeS (sample.eS, 667, 65)
     ntrs.eS <- lnormeS(trs.eS) 
     genesample.eS <- psmeans (ntrs.eS, sample.ind) 

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(LMGene)
Loading required package: Biobase
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

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Loading required package: multtest
Loading required package: survival
Loading required package: affy

Attaching package: 'LMGene'

The following object is masked from 'package:base':

    norm

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/LMGene/sample.ind.Rd_%03d_medium.png", width=480, height=480)
> ### Name: sample.ind
> ### Title: Sample probeset index vector
> ### Aliases: sample.ind
> ### Keywords: datasets
> 
> ### ** Examples
> 
>      data(sample.eS)
>      data(sample.ind)
>      trs.eS <- transeS (sample.eS, 667, 65)
>      ntrs.eS <- lnormeS(trs.eS) 
>      genesample.eS <- psmeans (ntrs.eS, sample.ind) 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>