It returns a 5-rows matrix, with one column for each combination of items and categories. Row0: item k, Row1: item l, Row2; category item k, Row3: category item l, Row4: freq
Arguments
- Y
Integer matrix of dimension \(n*p\), where \(n\) is the sample size and \(p\) is the number of items considered. Categories must be coded starting from zero. For example, an item with three categories can only accept values contained in \({0, 1, 2}\).
- C_VEC
Integer vector indicating how many possible categories are associated to each item in 'Y'.