PrepareChecks: Prepare raw response data for 'ConjointChecks'.

In ConjointChecks: A package to check the cancellation axioms of conjoint measurement.

Description

Takes output from ConjointChecks and produces a matrix showing the percentage of reported violations at each cell.

Usage

PrepareChecks(resp,ss.lower=10) 

Arguments

resp	Raw dichotomously coded response data. Columns represent items and rows represent individuals.
ss.lower	Only sum scores that have at least this many distinct individuals with that sum score will be used.

Examples

#simulated Rasch example
n.items<-20
n.respondents<-2000
#simulate data
rnorm(n.items)->diff
rnorm(n.respondents)->abil
matrix(abil,n.respondents,n.items,byrow=FALSE)->m1
matrix(diff,n.respondents,n.items,byrow=TRUE)->m2
m1-m2 -> kern
exp(kern)/(1+exp(kern))->pv
runif(n.items*n.respondents)->test
ifelse(pv>test,1,0)->resp
#now check
PrepareChecks(resp)->obj

Example output

Loading required package: parallel

ConjointChecks documentation built on May 2, 2019, 9:42 a.m.