Makes sure the factor levels in data_new are aligned with data_old
This is helpful for demand simulations.
prep_newprediction(data_new, data_old)New long-format choice data
Old long-format choice data
long-format choice data
data(icecream)
prep_newprediction(icecream, icecream)
#> # A tibble: 39,600 × 8
#> id task alt x p Brand Flavor Size
#> <int> <int> <int> <dbl> <dbl> <fct> <fct> <ord>
#> 1 1 1 1 8 0.998 Store Neapolitan 16
#> 2 1 1 2 0 0.748 Store VanillaBean 16
#> 3 1 1 3 0 1.25 BenNJerry Oreo 16
#> 4 1 1 4 0 0.748 BenNJerry Neapolitan 16
#> 5 1 1 5 0 2.49 HaagenDa RockyRoad 4
#> 6 1 1 6 0 1.25 HaagenDa Oreo 16
#> 7 1 1 7 0 1.12 BlueBunny Oreo 16
#> 8 1 1 8 0 1.99 BlueBunny Neapolitan 4
#> 9 1 1 9 0 0.622 Breyers RockyRoad 16
#> 10 1 1 10 0 3.49 Breyers Vanilla 4
#> # … with 39,590 more rows