Description Arguments Details Author(s) See Also Examples
Produce boxplot of Normalized Unscaled Standard Errors (NUSE) for the set of arrays. Alternatively, summary statistics or NUSE values can be extracted as data.frame.
Usage
NUSE(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 Normalized Unscaled Standard Errors (NUSE) for the set of arrays.
Alternatively it is possible to extract either the summary statistics as data.frame
(type="stats"
) or all NUSE values as data.frame
(type="values"
).
If an object of class QualTreeSet
was created by fitting a probe level model
with qualopt="all"
then NUSE
will plot or extract NUSE for "all" quality options. If
you want to plot or extract NUSE 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()) {
NUSE(rlm.all)
NUSE(rlm.all, qualopt="normalized")
qcNUSE <- NUSE(rlm.all, type="stats")
qcNUSE <- NUSE(rlm.all, type="values")
qcNUSE <- NUSE(rlm.all, treename="TestA1_normalized.rlm", type="stats")
qcNUSE <- NUSE(rlm.all, treename="TestA1_normalized.rlm", type="values")
}
## End(Not run)
|
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