The tie_test
function can be used for individual item testing.
tie_test( xdata = NULL, R = NULL, intrans = TRUE, compstudy = NULL, default = NULL, ord = NULL, seed = TRUE, testme = NULL, against = NULL )
xdata | imported (binarized) data frame |
---|---|
R | number of randomizations |
intrans | calculate intransitivities (calculation intense!) |
compstudy | label of the compiled sub study (used for filtering) |
default | default item in worth value estimation (usually the lowest worth value) |
ord | item category order |
seed | BOOLEAN; set a random seed TRUE/FALSE? |
testme | test this variable against... |
against | any other single variable from the commodity list (or combinations); vectorize if necessary c("item1","item2") |
A frequency table for item positions during the simulation; Position Bubble Plot