clinSig: Function for categorizing clinical significance

In zieglema/ClinicalSig: Contains several functions helpful for assessing clinical significance

Description

Function for categorizing clinical significance

Usage

clinSig(data, pre, post, consistency, mPath, sdPath, sigLevel)

Arguments

data	Data set
pre	The variable containing the values from before the intervention
post	The variable containing the values from after the intervention
consistency	Estimate for the internal consistency of the used measure
mPath	Mean score in clinical norm group
sdPath	Standard deviation in clinical norm group
sigLevel	The accepted probability for a type I error.

Value

Each person is assigned to one of 7 classes

Examples

dataFinal <- clinSig(data=dataRciClass, pre="U1_GDS_G", post="U2_GDS_G", consistency=.91,
mPath=17.4, sdPath=6.8, sigLevel=.05)
table(dataFinal$csClass)
barplot(table(dataFinal$csClass))

zieglema/ClinicalSig documentation built on June 1, 2019, 6:03 p.m.