calcPearsonChi: Pearsons chi-square statistic for comparing the probability...

In RGLab/flowStats: Statistical methods for the analysis of flow cytometry data

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)

RGLab/flowStats documentation built on July 20, 2023, 1:33 a.m.