flowSet as
input and
creates all necessary output for a 'marginevents' type QA
process. Objects created by this function can be laid out as HTML
using writeQAReport.
qaProcess.marginevents(set, channels=NULL,side ="both", grouping=NULL, outdir, cFactor=2, absolute.value=NULL, name="margin events", sum.dimensions=NULL, det.dimensions=c(3,1), pdf=TRUE, ...)flowSet.NULL. "character". The margin
on which to evaluate the filter. Either upper for the
upper margin or lower for the lower margin or both
for both margins. set used as a grouping variable. If this
argument is used and if absolute.value is NULL, outlier
detection will be performed within groups rather than across all
samples.NULL, cFactor is ignored.FALSE if disk space is critical, since the pdf versions of
the image consume much more space on the hard drive compared to the
bitmap version. Setting the argument to FALSE will also
speed up the process.qaProcess.
absolute.value is not NULL, by an absolute cutoff
value. If there is a natural grouping among the samples, this can be
specified using the grouping argument. In this case, the
outlier detection will be performed within its respective group for a
particular sample.
For more details on how to layout
qaProcess objects to
HTML, see writeQAReport and
qaReport.
writeQAReport,
qaReport,
qaProcess,
qaProcess.timeline,
qaProcess.timeflow,
qaProcess.cellnumber## Not run:
# data(GvHD)
# dest <- tempdir()
# qp <- qaProcess.marginevents(GvHD, channels=c("FSC-H", "SSC-H"),
# outdir=dest)
# qp
# ## End(Not run)
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