Description Arguments Details Author(s) See Also Examples
Produce boxplots of Relative Log Expression (RLE) values for the set of arrays. Alternatively, summary statistics or RLE values can be extracted as data.frame.
Usage
RLE(x,
treename = "*",
type = c("plot", "stats", "values"),
qualopt = NULL,
...)
x |
object of class |
treename |
vector of tree names to export. |
type |
type of output, |
qualopt |
quality control option, i.e. ‘raw’, ‘adjusted’, ‘normalized’ or ‘all’. |
... |
optional arguments to be passed to |
Create boxplots of Relative Log Expression (RLE) values for the set of arrays, i.e. of M plots, where M is determined relative to a pseudo-median reference chip.
Alternatively it is possible to extract either the summary statistics as data.frame
(type="stats"
) or all RLE values as data.frame
(type="values"
).
If an object of class QualTreeSet
was created by fitting a probe level model
with qualopt="all"
then RLE
will plot or extract RLE for "all" quality options. If
you want to plot or extract RLE for a certain quality option only, e.g. "normalized" data only, then
you can use parameter qualopt
with qualopt="<qualopt>"
.
Christian Stratowa
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ## Not run:
## load existing ROOT scheme file and ROOT data file
scheme.test3 <- root.scheme(paste(path.package("xps"),"schemes/SchemeTest3.root",sep="/"))
data.test3 <- root.data(scheme.test3, paste(path.package("xps"),"rootdata/DataTest3_cel.root",sep="/"))
## qualification - rlm
rlm.all <- rmaPLM(data.test3, "tmp_Test3RLMall", filedir=getwd(), tmpdir="", qualopt="all", option="transcript", add.data=FALSE)
## plot expression levels
if (interactive()) {
RLE(rlm.all)
RLE(rlm.all, qualopt="normalized")
qcRLE <- RLE(rlm.all, type="stats")
qcRLE <- RLE(rlm.all, type="values")
qcRLE <- RLE(rlm.all, treename="TestA1_normalized.rlm", type="stats")
qcRLE <- RLE(rlm.all, treename="TestA1_normalized.rlm", type="values")
}
## End(Not run)
|
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