Construct an ExpressionSet for MIMOSA

Description

Starting from a reshaped data frame in the correct format, construct an ExpressionSet object that can be used with MIMOSA.

Usage

MIMOSAExpressionSet(df, featureCols)

Arguments

Details

The featureCols will be used to construct feature names, and these columns will be dropped from the exprs matrix. The column names are assumed to have names that contain '_' characters separating phenotypic characteristics. These would be generated automatically if the data frame was constrcuted with 'reshape'. They are used to construct the phenoData for the expression set

Examples

E<-ConstructMIMOSAExpressionSet(ICS,
  reference=ANTIGEN%in%'negctrl',measure.columns=c('CYTNUM','NSUB'),
  other.annotations=c('CYTOKINE','TCELLSUBSET','ANTIGEN','UID'),
  default.cast.formula=component~UID+ANTIGEN+CYTOKINE+TCELLSUBSET,
  .variables=.(TCELLSUBSET,CYTOKINE,UID),
  featureCols=1,ref.append.replace='_REF')

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(MIMOSA)
Loading required package: MASS
Loading required package: plyr
Loading required package: reshape

Attaching package: 'reshape'

The following objects are masked from 'package:plyr':

    rename, round_any

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: ggplot2

This is package 'modeest' written by P. PONCET.
For a complete list of functions, use 'library(help = "modeest")' or 'help.start()'.

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/MIMOSA/MIMOSAExpressionSet.Rd_%03d_medium.png", width=480, height=480)
> ### Name: MIMOSAExpressionSet
> ### Title: Construct an ExpressionSet for MIMOSA
> ### Aliases: MIMOSAExpressionSet
> 
> ### ** Examples
> 
> E<-ConstructMIMOSAExpressionSet(ICS,
+   reference=ANTIGEN%in%'negctrl',measure.columns=c('CYTNUM','NSUB'),
+   other.annotations=c('CYTOKINE','TCELLSUBSET','ANTIGEN','UID'),
+   default.cast.formula=component~UID+ANTIGEN+CYTOKINE+TCELLSUBSET,
+   .variables=.(TCELLSUBSET,CYTOKINE,UID),
+   featureCols=1,ref.append.replace='_REF')
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>