qaProcess.2DStatsPlot {flowQ} | R Documentation

## Creates a QA process for 2D summary statistic comparisons across multiple samples

### Description

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`.

### Usage

     qaProcess.2DStatsPlot(flowList,dyes=c("FSC-A","SSC-A"),
                              outdir="QAReport",outBound=0.25,func=mean,
                              det.dimensions=c(400,400),pdf=FALSE,...)

### Arguments

`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.

### Details

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`.

### Value

An object of class `qaProcess`.

### Author(s)

Nishant Gopalakrishnan

### See Also

`writeQAReport`, `qaReport`, `qaProcess`, `qaProcess.marginevents`, `qaProcess.DensityPlot`, `qaProcess.ECDFPlot`

### Examples

    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

[Package flowQ version 1.4.0 Index]