R: Plotting function for gene means and standard deviations
plotMeanSD
R Documentation
Plotting function for gene means and standard deviations
Description
Plots the row standard deviation of a matrix of expression data against the row mean, or the rank of the row mean.
Usage
plotMeanSD(indata, by.rank = TRUE, line = FALSE, ymax = NULL)
Arguments
indata
An object of class matrix, data.frame, ExpressionSet, or AffyBatch
by.rank
If TRUE, the row standard deviations are plotted against the ranks of the row means. Otherwise, the row standard deviations are plotted
against the row means themselves.
line
If TRUE, a lowess smoother line is drawn on the plot.
ymax
The upper limit for the plot y-axis. If missing, axis limits are generated automatically by plot.
Details
Generates a scatter plot of the row standard deviations of a matrix of expression data against the row means or ranks of the row means.
Value
NULL
Author(s)
Rachel Chen and Blythe Durbin-Johnson
Examples
library(LMGene)
library(Biobase)
data(sample.eS)
# transform data
trans.eS <- transeS(sample.eS, lambda = 727, alpha = 56)
# plot SD against rank of mean
plotMeanSD(trans.eS, line = TRUE)
plotMeanSD(sample.eS, line = TRUE, ymax = 1000)
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)
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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(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/plotMeanSD.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotMeanSD
> ### Title: Plotting function for gene means and standard deviations
> ### Aliases: plotMeanSD
> ### Keywords: dplot
>
> ### ** Examples
>
> library(LMGene)
> library(Biobase)
>
> data(sample.eS)
> # transform data
> trans.eS <- transeS(sample.eS, lambda = 727, alpha = 56)
>
> # plot SD against rank of mean
> plotMeanSD(trans.eS, line = TRUE)
> plotMeanSD(sample.eS, line = TRUE, ymax = 1000)
>
>
>
>
>
> dev.off()
null device
1
>