Basic plot of the log2 ratios for each array ordered along the genome.
Usage
plotGenome(aCGH.obj, samples = 1:num.samples(aCGH.obj), naut = 22,
Y = TRUE, X = TRUE, data = log2.ratios(aCGH.obj),
chrominfo = human.chrom.info.Jul03,
yScale = c(-2, 2), samplenames = sample.names(aCGH.obj),
ylb = "Log2Ratio")
Arguments
aCGH.obj
an object of class aCGH
samples
vector containing indeces of the samples to be plotted.
naut
number of autosomes in the organism
Y
TRUE if chromosome Y is to be plotted, FALSE otherwise
X
TRUE if chromosome X is to be plotted, FALSE otherwise
data
a matrix containing values to use for plotting. defaults to the log2.ratios(aCGH.obj).
chrominfo
a chromosomal information associated with the mapping
of the data.
yScale
Minimum y-scale to use for plotting. Scale is expanded if any of the
values exceed the positive or negative limit.
samplenames
sample names.
ylb
label for the Y-axis.
See Also
aCGH
Examples
#plot samples in the order of descending quality
data(colorectal)
order.quality <- order(sd.samples(colorectal)$madGenome)
pdf("plotGenome.orderByQuality.pdf")
par(mfrow=c(2,1))
for(i in order.quality)
plotGenome(colorectal, samples = i, Y = FALSE)
dev.off()
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(aCGH)
Loading required package: cluster
Loading required package: survival
Loading required package: multtest
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Attaching package: 'aCGH'
The following object is masked from 'package:stats':
heatmap
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/aCGH/plotGenome.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotGenome
> ### Title: Plots the genome
> ### Aliases: plotGenome plotGene plotGeneSign maPalette plotCGH.func
> ### Keywords: hplot
>
> ### ** Examples
>
>
> #plot samples in the order of descending quality
> data(colorectal)
> order.quality <- order(sd.samples(colorectal)$madGenome)
> pdf("plotGenome.orderByQuality.pdf")
> par(mfrow=c(2,1))
> for(i in order.quality)
+ plotGenome(colorectal, samples = i, Y = FALSE)
> dev.off()
png
2
>
>
>
>
>
>
> dev.off()
null device
1
>