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...e, a second ordered categorical variable." So polychor doesn't take a data frame as its argument, and computes only one polychoric correlation at a time. (It generally helps in R, and even more generally, to read the documentation.) Thus, e.g., > with(data.matrix18, polychor(SABAS02, SABAS06)) [1] 0.1811532 > with(data.matrix18, polychor(SABAS02, SABAS06, ML=TRUE)) [1] 0.1817071 If you want to compute a matrix of polychoric correlations using the polycor package, then you can use the hetcor function -- see ?hetcor -- but you'll then have to change your variables from numeric t...

..., 5, 5, 5, 5, 4, 5, 3, 5, 5, 5, 5, 6, 3, 5, 6, 5, 6, 4, 5, 4, 4, 5, 6, 2, 5, 6), value.labels = structure(c(6, 5, 4, 3, 2, 1), .Names = c("Strongly Agree", "Agree", "Slightly Agree", "Slightly Disagree", "Disagree", "Strongly Disagree"))), SABAS06 = structure(c(6, 6, 6, 6, 6, 6, 5, 5, 6, 3, 6, 6, 6, 5, 5, 6, 5, 6, 6, 5, 5, 6, 6, 6, 6, 5, 6, 3, 6, 5, 5, 5, 5, 6, 6, 6, 3, 6, 6, 5, 5, 4, 5, 6, 6, 5, 6, 5, 6, 6, 6, 6, 6, 6, 5, 5, 6, 6, 6, 6, 6, 6, 5, 6, 6, 6, 6, 6, 4, 6, 5, 5, 6, 6, 6, 6, 6, 6, 3, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,...