ConjointChecks (version 0.2.0)

PrepareChecks: Prepare raw response data for ConjointChecks.

Description

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

Usage

PrepareChecks(resp,ss.lower=10, collapse.columns = FALSE)

Value

Returns n and N, respectively, containing the number of correct responses and the number of total responses for each cell.

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.

collapse.columns

Sum over columns.

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