reclassify: Function for reclassification table and statistics
In cardiomoon/webr2: Data and Functions for Web-Based Analysis

Description Usage Arguments Value Examples

Function for reclassification table and statistics

1	reclassify(fit1, fit2, cutoff, cutoff2)

`fit1, fit2`	An object of class glm
`cutoff`	Cutoff values for risk categories for initial model. Default value is c(0,.1,.35,1)
`cutoff2`	Optional cutoff values for risk categories for updated model

A list of class reclassified with elements

cutoff: Cutoff values for risk categories for initial model
cutoff2: Cutoff values for risk categories for updated model
absent: summary table for absent outcome
present: summary table for present outcome
combined: summary table for combined outcome
x: improveProb for categorical variables
y: improveProb for initial and updated model
NRIcat: Numeric vector for Net reclassification improvement, categorical
NRIcont: Numeric vector for Net reclassification improvement, continuous
IDI: Numeric vector for Integrated discrimination improvement

form1=paste0("AMD~",paste0(colnames(ExampleData)[3:10],collapse="+"))
form2=paste0("AMD~",paste0(colnames(ExampleData)[3:16],collapse="+"))
fit1=glm(as.formula(form1),data=ExampleData,family=binomial)
fit2=glm(as.formula(form2),data=ExampleData,family=binomial)
result=reclassify(fit1,fit2)
result