Analyses the frequency of resources at different levels of analysis

resource_frequency(eventlog, level, append, ...)

# S3 method for eventlog
resource_frequency(eventlog, level = c("log", "case",
"activity", "resource", "resource-activity"), append = F, ...)

# S3 method for grouped_eventlog
resource_frequency(eventlog, level = c("log",
"case", "activity", "resource", "resource-activity"), append = F, ...)

## Arguments

eventlog The dataset to be used. Should be a (grouped) eventlog object. eventlog. Level of granularity for the analysis: log, case, activity, resource or resource-activity. For more information, see vignette("metrics", "edeaR") Logical, indicating whether to append results to original event log. Ignored when level is log or trace. Deprecated arguments

## Details

Comparable to the concept of the activity frequency the frequency of resources in a business process can also be very insightful for companies, e.g., during company restructuring.

• On the level of the complete event log, summary statistics show the number of times a resource executes an activity in the complete event log.

• To get a better view on the variance between the different cases, the summary statistics of the frequency of resources can be calculated on the level of the cases. This way, a company gets an insight in the number of different resources working on each case together with the number of activities a resource executes per case.

• At the level of the different activities, the resource frequency states how many different resources are executing a specific activity in the complete event log.

• At the level of the distinct resources in the event log, this metric simply shows the absolute and relative frequency of occurrences of each resource in the complete event log.

• Finally, at the most specific level of analysis, the absolute and relative number of times each resource-activity level occurs in the complete event log can be calculated. Two different relative numbers are provided here, one from the resource perspective and one from the activity perspective. At the resource perspective, the denominator is the total number of executions by the resource under consideration. At the activity perspective, the denominator is the total number of occurrences of the activity under consideration.

## Methods (by class)

• eventlog: Resource frequency for eventlog

• grouped_eventlog: Resource frequency for grouped eventlog

## References

Swennen, M. (2018). Using Event Log Knowledge to Support Operational Exellence Techniques (Doctoral dissertation). Hasselt University.