Description Arguments Details Author(s) See Also Examples
Produce boxplots of Relative Log Expression (RLE) values for the set of arrays.
Usage
rleplot(x,
which = "UnitName",
size = 0,
range = 0,
names = "namepart",
main = "RLE Plot",
ylim = c(-1.0, 1.0),
las = 2,
add.line = TRUE,
outline = FALSE,
...)
x |
object of class |
which |
type of probes to be used, for details see |
size |
length of sequence to be generated as subset. |
range |
determines how far the plot whiskers extend out from the box. |
names |
optional vector of sample names. |
main |
the main title for the plot. |
ylim |
range for the plotted y values. |
las |
the style of axis labels. |
add.line |
|
outline |
if |
... |
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.
For names=NULL
full column names of slot data
will be displayed while for
names="namepart"
column names will be displayed without name extension. If names
is a vector of column names, only these columns will displayed as boxplot.
If an object of class QualTreeSet
was created by fitting a probe level model
with qualopt="all"
then rleplot
will plot RLE for "all" quality options. If
you want to plot RLE for a certain quality option only, e.g. "normalized" data only, then
you can use parameter names
with names="namepart:<qualopt>"
,
e.g. names="namepart:normalized"
.
Christian Stratowa
RLE
, plotRLE
, mboxplot
, nuseplot
1 2 3 4 5 6 7 | # load existing ROOT scheme file and ROOT expression file for rma
scheme.test3 <- root.scheme(paste(path.package("xps"),"schemes/SchemeTest3.root",sep="/"))
data.rma <- root.expr(scheme.test3, paste(path.package("xps"),"rootdata/tmp_Test3RMA.root",sep="/"), "mdp")
if (interactive()) {
rleplot(data.rma)
}
|
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