Description Usage Arguments Details Value Author(s) Examples
A wrapper around the plotting functions availale in the
EDASeq normalization Bioconductor package. For analytical
explanation of each plot please see the vignette of the
EDASeq package. It is best to use this function through
the main plotting function
metaseqrPlot
.
1 2 3 4 |
x |
the count data matrix. |
sampleList |
the list containing condition names and the samples under each condition. |
covar |
The covariate to plot counts against.
Usually |
isNorm |
a logical indicating whether object contains raw or normalized data. It is not essential and it serves only plot annotation purposes. |
whichPlot |
the EDASeq package plot to generate. See Details. |
output |
one or more R plotting device to direct the
plot result to. Supported mechanisms: |
altNames |
optional names, alternative or complementary
to the rownames of |
path |
the path to create output files. |
... |
further arguments to be passed to plot
devices, such as parameter from |
Regarding whichPlot
, it can be one or more of
"meanvar"
, "meandiff"
, "gcbias"
or
"lengthbias"
. Please refer to the documentation of
the EDASeq package for details on the use of these
plots. The whichPlot="lengthbias"
case is
not covered by EDASeq documentation, however it is
similar to the GC-bias plot when the covariate is the
gene length instead of the GC content.
The filenames of the plot produced in a named list with
names the which.plot argument. If output="x11"
, no
output filenames are produced.
Panagiotis Moulos
1 2 3 | dataMatrix <- metaseqR2:::exampleCountData(2000)
sampleList <- list(A=c("A1","A2"),B=c("B1","B2","B3"))
diagplotEdaseq(dataMatrix,sampleList,whichPlot="meandiff")
|
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