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