Last data update: 2014.03.03

R: Set of SpC boxplots by sample
spc.boxplotsR Documentation

Set of SpC boxplots by sample

Description

Draws a boxplot for each column (sample) in a SpC matrix. The SpC are previosly transformed by log2, with an offset of 0.1. If a factor is provided the boxplots are colored by factor level to better visualize the differences.

Usage

spc.boxplots(msms.counts,fact=NULL,minSpC=2,...)

Arguments

msms.counts

A SpC matrix with proteins in the rows and samples in the columns.

minSpC

All matrix cells with values below this threshold are excluded.

fact

NULL or a factor of length equal to the number of columns in the expression matrix. If provided the boxplots are colored by factor level.

...

Extra parameters passed to the plot function.

Details

More informative plots are obtained when excluding the cells with values below 2, the default for minSpC.

Author(s)

Josep Gregori

Examples

data(msms.dataset)
spc.boxplots(exprs(msms.dataset),fact=pData(msms.dataset)[,1],
      main="UPS1 200fm vs 600fm")

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.
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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(msmsEDA)
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

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/msmsEDA/spc.boxplots.Rd_%03d_medium.png", width=480, height=480)
> ### Name: spc.boxplots
> ### Title: Set of SpC boxplots by sample
> ### Aliases: spc.boxplots
> ### Keywords: plots
> 
> ### ** Examples
> 
> data(msms.dataset)
> spc.boxplots(exprs(msms.dataset),fact=pData(msms.dataset)[,1],
+       main="UPS1 200fm vs 600fm")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>