6. Simulating Ranking Data

In this vignette, we describe our helper function rpluce to simulate ranking data based on the Plackett-Luce model, also known as the rank-order logit or random utility model. To draw from the PL, rpluce requires a vector of probabilities that t items will be selected as the first choice, respectively. For each unit, the output provides a full ordering of t items with distinct alphabet letters.

library(rankingQ)
#> Error in get(paste0(generic, ".", class), envir = get_method_env()) : 
#>   object 'type_sum.accel' not found

draw <- rpluce(n = 50,
               t = 4,
               prob = c(0.4, 0.2, 0.2, 0.2))
head(draw)
#>   1st 2nd 3rd 4th
#> 1   b   a   d   c
#> 2   d   b   c   a
#> 3   a   d   c   b
#> 4   d   c   b   a
#> 5   b   a   d   c
#> 6   a   b   d   c