Classify candidates from their observed scores — df_classify • decisionfacets

Classify candidates from their observed scores

Usage

df_classify(object, cut)

Arguments

object: A `df_fit` or `df_sim`.
cut: A `df_cut`.

Value

Data frame: `person`, `panel`, `total`, `raw_cut` (the raw total this candidate's panel had to reach), `pass`.

Examples

sim <- df_simulate(n_persons = 100, n_items = 3, n_raters = 6, seed = 1)
head(df_classify(sim, df_cut(0, "measure")))
#>   person   panel total raw_cut  pass
#> 1  P0001 R01|R02    11      15 FALSE
#> 2  P0002 R02|R04    17      14  TRUE
#> 3  P0003 R02|R04     9      14 FALSE
#> 4  P0004 R01|R05    21      13  TRUE
#> 5  P0005 R05|R06    13      12  TRUE
#> 6  P0006 R04|R05    10      12 FALSE