lists produced by the assessment functions (one for
each method) separated by commas.
assessment.list
Alternatively, one can also send a list of
lists produced by one of the assessment functions
.
method.names
A character vector with the names of the
epxression measure methodology.
figure1.xlim
x-axis lim used for the plots in Figure 1.
figure1.ylim
y-axis lim used for the plots in Figure 1.
figure1b.xlim
x-axis lim used for the plots in Figure 1b.
figure1b.ylim
y-axis lim used for the plots in Figure 1b.
figure6a.xlim
x-axis lim used for the plots in Figure 6a.
figure6a.ylim
y-axis lim used for the plots in Figure 6a.
figure6b.xlim
x-axis lim used for the plots in Figure 6b.
figure6b.ylim
y-axis lim used for the plots in Figure 6b.
l
list with assessment lists as components.
what
a dummy variable to know what function call to create.
Details
Read the vignette for more details on what each Figure is. Once an
assessment is used this function knows what to do. You can call any of
the assessment functions described in assessSpikeIn,
assessDilution and assessSD.
affycomp.figures, affycomp.figure.calls,
affycomp.compfigs.calls are auxiliary functions.
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/affycompPlot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: affycompPlot
> ### Title: Assessment Plots
> ### Aliases: affycompPlot affycomp.figure.calls affycomp.compfigs.calls
> ### affycomp.figures affycomp.compfigs
> ### Keywords: hplot
>
> ### ** Examples
>
> library(affycompData)
> data(rma.assessment)
> data(mas5.assessment)
> affycompPlot(rma.assessment,mas5.assessment)
> affycompPlot(rma.assessment$FC)
> affycompPlot(rma.assessment$Dilution,mas5.assessment$Dilution)
> affycompPlot(rma.assessment$Dilution,mas5.assessment$Dilution)
> affycompPlot(rma.assessment$Signal,mas5.assessment$Signal)
> affycompPlot(rma.assessment$Dilution,mas5.assessment$Dilution)
> affycompPlot(rma.assessment$FC2,mas5.assessment$FC2)
>
>
>
>
>
> dev.off()
null device
1
>