| qaProcess.2DStatsPlot {flowQ} | R Documentation |
This function takes a list of flowSet as input and
creates all necessary output for a '2DStatsPlot' type QA
process. Objects created by this function can be laid out as HTML
using writeQAReport.
qaProcess.2DStatsPlot(flowList,dyes=c("FSC-A","SSC-A"),
outdir="QAReport",outBound=0.25,func=mean,
det.dimensions=c(400,400),pdf=FALSE,...)
flowList |
A list of flowSet |
dyes |
Flow parameters to be compared across multiple samples |
outdir |
The directory to which the graphical output is to be saved. If multiple QA processes are to be combined, make sure to use the same directory every time. |
outBound |
A numeric value between 0 and 1 which is used as a threshold by the outlier detection algorithm |
func |
Summary statistic function to be applied to each parameter in a flow Frame (mean,median etc) |
det.dimensions |
the dimensions of each image generated by the QA process. |
pdf |
boolen value determinining if pdf files or jpeg images will be produced by the QA process |
... |
Further arguments. |
QA processes of type '2DStatsPlot' detects differences in the value of a summary statistic such as the mean, median etc across multiple samples.
For more details on how to layout qaProcess objects to
HTML, see writeQAReport and qaReport.
An object of class qaProcess.
Nishant Gopalakrishnan
writeQAReport, qaReport,
qaProcess, qaProcess.marginevents,
qaProcess.DensityPlot, qaProcess.ECDFPlot
data(qData)
dest <- tempdir()
par<-c("FSC-A","SSC-A","CD4","CD8")
resMean <- qaProcess.2DStatsPlot(qData,dyes=par,outdir=dest,func=mean,outBound=0.28,pdf=TRUE)
resMean