Detect activity duration outliers

Source: R/detect_duration_outliers.R

Function detecting duration outliers for a particular activity

detect_duration_outliers(activitylog, ..., details, filter_condition)

Arguments

activitylog

The activity log
...

for each activity to be checked, an argument "activity_name" = duration_within(...) to define bounds. See ?duration_within
details

Boolean indicating wheter details of the results need to be shown
filter_condition

Condition that is used to extract a subset of the activity log prior to the application of the function

Value

activitylog containing the rows of the original activity log for which activity duration outliers are detected Information on the presence of activity duration outliers

See also

duration_within

Examples

# \donttest{
data("hospital_actlog")
detect_duration_outliers(activitylog = hospital_actlog,
     Treatment = duration_within(bound_sd = 1))
#> *** OUTPUT ***
#> Outliers are detected for following activities
#> Treatment 	 Lower bound: 5.06 	 Upper bound: 22.2
#> A total of 1 is detected (1.89% of the activity executions)
#> For the following activity instances, outliers are detected:
#> # A tibble: 1 x 13
#>   patient_visit_nr activity originator start               complete           
#>              <dbl> <chr>    <chr>      <dttm>              <dttm>             
#> 1              523 Treatme~ Nurse 17   2017-11-21 18:26:04 2017-11-21 18:55:00
#> # ... with 8 more variables: triagecode <dbl>, specialization <chr>,
#> #   duration <dbl>, mean <dbl>, sd <dbl>, bound_sd <dbl>, lower_bound <dbl>,
#> #   upper_bound <dbl>
# }