These functions are auxiliary function to
affycompPlot. These Figures are used to assess an
expression measure. They take components created by the
assessDilution and assessSpikeIn
functions.
Usage
affycomp.figure1(l,main="Figure 1",xlim=NULL,ylim=NULL)
affycomp.figure1b(l,main="Figure 1b",xlim=NULL,ylim=NULL,cex=0.85,all=FALSE)
affycomp.figure2(l,main="Figure 2")
affycomp.figure2b(l,main="Figure 2b")
affycomp.figure3(l, main = "Figure 3")
affycomp.figure4a(l, main = "Figure 4a",equal.lims=FALSE)
affycomp.figure4b(l, main = "Figure 4b")
affycomp.figure4c(l, rotate=TRUE, main = "Figure 4c")
affycomp.figure5a(l, main = "Figure 5a",maxfp=100)
affycomp.figure5b(l, main = "Figure 5b",maxfp=100)
affycomp.figure5c(l, main = "Figure 5c",maxfp=100)
affycomp.figure5d(l, main = "Figure 5d",maxfp=100)
affycomp.figure5e(l, main = "Figure 5e",maxfp=100)
affycomp.figure6a(l, main = "Figure 6a",xlim = NULL, ylim = NULL)
affycomp.figure6b(l, main = "Figure 6b",xlim = NULL, ylim = NULL)
Arguments
l
A list with the necessary components to create the
Figure. See details.
main
Title for the Figure.
maxfp
range of the false positives in ROC will be from 0 to maxfp
xlim
x-axis limits.
ylim
y-axis limits.
cex
size of numbers in figure 1b.
all
logical. If TRUE all spikeins are shown. Otherwise,
only those resulting in smaller, realistic, fold changes are shown.
equal.lims
logical. If TRUE the limits of x-axis and
y-axis will have same range.
rotate
in the case of compfig4c one can eiher show the actual
local slopes or the bias (local slope minus 1).
Details
Read the vignette for more details on what each Figure is. You can read
assessSpikeIn and assessDilution to see
which assessments are needed.
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(affycomp)
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")'.
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/affycomp/affycomp.figures.auxiliary.Rd_%03d_medium.png", width=480, height=480)
> ### Name: affycomp.figures.auxiliary
> ### Title: Auxiliary functions to create Figures
> ### Aliases: affycomp.figures.auxiliary affycomp.figure1 affycomp.figure1b
> ### affycomp.figure2 affycomp.figure2b affycomp.figure3 affycomp.figure4a
> ### affycomp.figure4b affycomp.figure4c affycomp.figure5a
> ### affycomp.figure5b affycomp.figure5c affycomp.figure5d
> ### affycomp.figure5e affycomp.figure6a affycomp.figure6b
> ### Keywords: hplot
>
> ### ** Examples
>
> library(affycompData)
> data(rma.assessment)
> affycomp.figure1(rma.assessment$MA)
> affycomp.figure2(rma.assessment$Dilution)
> affycomp.figure3(rma.assessment$Dilution)
> affycomp.figure4a(rma.assessment$Signal)
> affycomp.figure4b(rma.assessment$Dilution)
> affycomp.figure5a(rma.assessment$FC)
> affycomp.figure5b(rma.assessment$FC2)
> affycomp.figure6a(rma.assessment$FC)
> affycomp.figure6b(rma.assessment$FC)
>
>
>
>
>
> dev.off()
null device
1
>