Cross-tabulates a categorical outcome column (default
director_decision_category) by service, reporting both raw
counts and within-service shares. If the supplied outcome_col
is not present, looks for a few common alternatives
(director_decision, outcome, decision,
director_decision_outcome, director_decision_text). The SIU
corpus that rmorie ships (morie_fetch_siu()) carries the
Director's decision in charges_recommended; when none of the
category columns exists, the outcome is derived from it as
"charges" / "no charges" (booleans and the Director's own
wording, e.g. "No Charges to Issue", both count; unreadable
values are dropped).
Usage
mrm_siu_outcome_classifier(
data,
outcome_col = "director_decision_category",
service_col = "police_service"
)Examples
siu <- data.frame(
police_service = c("Toronto Police Service", "Toronto Police Service",
"Ontario Provincial Police"),
charges_recommended = c(TRUE, FALSE, FALSE))
mrm_siu_outcome_classifier(siu)
#> service outcome n_cases share_within_service
#> 1 Toronto Police Service charges 1 0.5
#> 2 Ontario Provincial Police no charges 1 1.0
#> 3 Toronto Police Service no charges 1 0.5
