Wide-format analysis of the 2020-2022 detailed-incident dataset. — morie_arsau_analyze_detailed

Chains:

mrm_uof_force_concentration on POLICE_SERVICE
mrm_uof_weapon_diversity on POLICE_SERVICE x ASSIGNMENT_TYPE
mrm_uof_yoy_change on REPORTING_YEAR
mrm_uof_data_quality_audit

Usage

morie_arsau_analyze_detailed_dataset(
  year_range = "2020-2022",
  language = "en",
  data_dir = NULL
)

Arguments

year_range: "2020-2022".
language: "en" or "fr".
data_dir: Optional explicit ARSAU root.

Value

A list classed c("morie_arsau_result", "morie_rich_result", "list").

References

Ontario Ministry of the Solicitor General, ARSAU 2020-2022 detailed_dataset technical notes.

Examples

# \donttest{
res <- try(morie_arsau_analyze_detailed_dataset(year_range = "2020-2022"))
if (!inherits(res, "try-error")) print(res)
#> ARSAU detailed_dataset analysis (2020-2022)
#> ===========================================
#> Call: morie_arsau_analyze_detailed_dataset(year_range=‘2020-2022’) 
#> 
#>   Year/range        2020-2022
#>   Kind              detailed_dataset
#>   Rows analysed     5
#>   Columns analysed  167
#>   Valid             yes
#>   Sub-analyses      4
#> 
#> Warning: [force_concentration] Only 2 force(s); concentration statistics with n<10 categories are descriptive at best. 
#> Warning: [assignment_x_force] Contingency table is degenerate (n=0 or single row/column). 
#> 
#> Ran 4 sub-analysis(es) over the ARSAU 'detailed_dataset' dataset for '2020-2022': force_concentration, assignment_x_force, yoy_change, data_quality. Each sub-result is available as `result$<name>` and the underlying data.frame as `result$data`. 
# }