Description Usage Arguments Details Value Author(s)
These functions produce objects of class
aqmReportModule representing the various modules of the quality
report. Given a list of modules, the report
is then rendered by the aqm.writereport function.
Most users will not call these functions directly, but will use the
function arrayQualityMetrics, which in turns calls these
functions. The function arguments can be provided through the
... argument of arrayQualityMetrics.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | aqm.boxplot(x, subsample=20000, outlierMethod = "KS", ...)
aqm.density(x, ...)
aqm.heatmap(x, ...)
aqm.pca(x, ...)
aqm.maplot(x, subsample=20000, Dthresh=0.15, maxNumArrays=8, nrColumns=4, ...)
aqm.spatial(x, scale="rank", channels = c("M", "R", "G"),
maxNumArrays=8, nrColumns=4, ...)
aqm.meansd(x, ...)
aqm.probesmap(x, ...)
# Affymetrix specific sections
aqm.pmmm(x, ...)
aqm.rnadeg(expressionset, x, ...)
aqm.rle(x, outlierMethod = "KS", ...)
aqm.nuse(x, outlierMethod = "upperquartile", ...)
|
x |
An object resulting from a call to |
expressionset |
An object of class |
subsample |
For efficiency, some computations are performed not on the full set of features (which can be hundreds of thousands on some arrays), but on a randomly subset whose size is indicated by this number. |
outlierMethod |
As in |
Dthresh |
In |
scale, channels |
In |
maxNumArrays, nrColumns |
The parameter |
... |
Will be ignored - the dots are formal arguments which
permit that all of these functions can be callled from
|
For a simple example of the aqm.* functions, have a
look at the source code of the aqm.pca function. Please see also
the vignette Advanced topics: Customizing arrayQualityMetrics
reports and programmatic processing of the output.
An object of class aqmReportModule.
Audrey Kauffmann, Wolfgang Huber
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