calcPearsonChi {flowStats} | R Documentation

## Pearsons chi-square statistic for comparing the probability binned datasets

### Description

This function calculates the Pearsons chi-squared statistic for comparing data binned using the `proBin` and `binByRef` functions.Internally, the function utilizes the chisq.test function.

### Usage

    calcPearsonChi(ctrlRes,sampRes)

### Arguments

`ctrlRes` | The result generated by calling the `probBin` function on a control dataset.
`sampRes` | The result generated by calling the `byByRef` function on a sample dataset

### Value

A list containing the statistic, p.value, observed, expected counts and the residuals

### Author(s)

Nishant Gopalakrishnan

### See Also

`proBin`, `calcPBChiSquare`

### Examples

    library(flowCore)
    data(GvHD)
    # flow frame 1 is treated as  control dataset and used to generate bins
    resCtrl<-proBin(GvHD[[1]][,c("FSC-H","SSC-H","Time")],200)
    plotBins(resCtrl,GvHD[[1]],channels=c("FSC-H","SSC-H","Time"),title="Binned control data")
    # Same bins are applied to flowFrame 16
    resSample<-binByRef(resCtrl,GvHD[[16]][,c("FSC-H","SSC-H","Time")])
    stat<-calcPearsonChi(resCtrl,resSample)

[Package flowStats version 4.4.0 Index]