Takes output from
ConjointChecks and produces a matrix showing
the percentage of reported violations at each cell.
Raw dichotomously coded response data. Columns represent items and rows represent individuals.
Only sum scores that have at least this many distinct individuals with that sum score will be used.
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#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
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