data.cp: Creates binary data of a given data set

In diffdepprop: Calculates Confidence Intervals for two Dependent Proportions

Description

Binary data are sometimes needed to analyse these data. Data of two situation (e.g. diagnostic tests) with continous outcome are assumed to be given. With the help of the cutpoint for each test, these data can be dichotomise.

Usage

data.cp(dat, col.test1, col.test2, cp.test1, cp.test2)

Arguments

dat	name of the data set you want to be dichotomise
col.test1	number of the column of the first test in the data set, which shall be dichotomised
col.test2	number of the column of the second test in the data set, which shall be dichotomised
cp.test1	cutpoint for the first test
cp.test2	cutpoint for the second test

Value

A matrix containing the two tests with binary data

Author(s)

Daniela Wenzel, Antonia Zapf

Examples

# create a data set
v1=c(seq(1,10,0.5))
v2=c(seq(2,11,0.5))
n=c(seq(1,19,1))
new=cbind(n,v1,v2)
# cutpoint of the first test is 1.6, of the second test 2.3
result=data.cp(new,2,3,1.6,2.3)

diffdepprop documentation built on May 1, 2019, 11:11 p.m.