flowQ (version 1.32.0)

qaProcess.BoundaryPlot: Creates a QA process for comparison of the percentage of boundary events for the specified parameters across multiple samples

Description

This function takes a list of flowSet as input and creates all necessary output for a 'BoundaryPlot' type QA process. Objects created by this function can be laid out as HTML using writeQAReport.

Usage

qaProcess.BoundaryPlot(flowList,dyes=NULL, outdir="QAReport",cutoff=3,sum.dimensions=NULL, det.dimensions=NULL,pdf=TRUE,name="Boundary", side="both",...)

Arguments

flowList
A list of flowSet
dyes
Flow parameters to be compared across multiple samples. If set to NULL, all parameters that are duplicated across the list of flowSet are identified and compared.
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.
cutoff
A numeric value for the percentage of boundary events that is used by the process to identify samples that failed the QA process
sum.dimensions
The dimensions of summary plot generated in inches, default is NULL where the dimensions are automatically selected
det.dimensions
the dimensions of each sub image generated by the QA process in inches, default is NULL where the dimensions are automatically selected.
pdf
boolen value determinining if pdf files or jpeg images will be produced by the QA process
name
The name of the process used for the headings in the HTML output.
side
Object of class "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.
...
Further arguments.

Value

An object of class qaProcess.

Details

QA processes of type 'BoundaryPlot' helps identify samples that have a large number of boundary events that must be removed by further gating before detailed analysis of the data. For more details on how to layout qaProcess objects to HTML, see writeQAReport and qaReport.

See Also

writeQAReport, qaReport, qaProcess, qaProcess.DensityPlot, qaProcess.ECDFPlot

Examples

Run this code
data(qData)
dest <- tempdir()
resBoundary <- qaProcess.BoundaryPlot(qData, dyes=c("FSC-A","CD3"), 
                                      outdir=dest, cutoff=3, pdf=TRUE)
resBoundary

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