R/gdina_post_skill_pattern.R

In CDM: Cognitive Diagnosis Modeling

## File Name: gdina_post_skill_pattern.R
## File Version: 0.08

gdina_post_skill_pattern <- function( attr.prob, G, attr.patt.c, K, maxAttr, q.matrix,
        q.entries, attr.patt )
{
    # attribute pattern
    if (G==1){
        attr.prob <- matrix( attr.prob, ncol=1)
        colnames( attr.prob ) <- "class.prob"
    }
    if (G>1){
        colnames( attr.prob ) <- paste( "class.prob.group", 1:G, sep="")
    }
    rownames( attr.prob ) <- attr.patt.c
    mA <- max(maxAttr)
    if (G==1){
        sp <- NULL
        for (kk in 0:mA ){
            skill.patt <- matrix(apply( matrix( rep( attr.prob, K ), ncol=K) *
                    (attr.patt==kk), 2, sum ),ncol=1)
            rownames(skill.patt) <- colnames(q.matrix)
            colnames(skill.patt) <- paste0("skill.prob",kk )
            sp <- cbind( sp, skill.patt )
        }
        skill.patt <- sp
        for (kk in 1:K){
            ind.kk <- setdiff( 1:mA, 1 + q.entries[[kk]] )
            if ( length(ind.kk) > 0 ){
                skill.patt[ kk,ind.kk ] <- NA
            }
        }
    }
    if (G>1){
        sp <- NULL
        for (kk in 0:( mA ) ){
            skill.patt <- matrix( 0, K, G )
            for (gg in 1:G){
            skill.patt[,gg] <- matrix(apply( matrix( rep(  attr.prob[,gg], K ), ncol=K) *
                                        ( attr.patt==kk ), 2, sum ),ncol=1)
            }
            rownames(skill.patt) <- colnames(q.matrix)
            colnames(skill.patt) <- paste0( "skill.prob", kk, ".group", 1:G )
            sp <- cbind( sp, skill.patt )
        }
        skill.patt <- sp
        for (kk in 1:K){
            v1 <- rep(1:mA,each=G)
            ind.kk <- setdiff( v1, rep(1 + q.entries[[kk]],each=G) )
            ind.kk <- which( v1 %in% ind.kk )
            if ( length(ind.kk) > 0 ){
                skill.patt[ kk,ind.kk ] <- NA
            }
        }
    }
    #---- OUTPUT
    res <- list( attr.prob=attr.prob, skill.patt=skill.patt)
    return(res)
}