R: Resource Specialisation

resource_specialisation {edeaR}

R Documentation

Resource Specialisation

Description

Analyses whether resources specialise in specific activities.

This metric can give an overview of which resources are performing certain activities more than others, and which resources are responsible for containing all knowledge or capabilities on one topic.

Usage

resource_specialisation(
  log,
  level = c("log", "activity", "resource"),
  append = deprecated(),
  append_column = NULL,
  sort = TRUE,
  eventlog = deprecated()
)

resource_specialization(
  log,
  level = c("log", "activity", "resource"),
  append = deprecated(),
  append_column = NULL,
  sort = TRUE,
  eventlog = deprecated()
)

## S3 method for class 'log'
resource_specialisation(
  log,
  level = c("log", "activity", "resource"),
  append = deprecated(),
  append_column = NULL,
  sort = TRUE,
  eventlog = deprecated()
)

## S3 method for class 'grouped_log'
resource_specialisation(
  log,
  level = c("log", "activity", "resource"),
  append = deprecated(),
  append_column = NULL,
  sort = TRUE,
  eventlog = deprecated()
)

Arguments

`log`	`log`: Object of class `log` or derivatives (`grouped_log`, `eventlog`, `activitylog`, etc.).
`level`	`character` (default `"log"`): Level of granularity for the analysis: `"log"` (default), , `"activity"`, or `"resource"`. For more information, see `vignette("metrics", "edeaR")` and 'Details' below.
`append`	`logical` (default `FALSE`) : The arguments `append` and `append_column` have been deprecated in favour of `augment`. Indicating whether to append results to original log. Ignored when level is `"log"` or `"trace"`.
`append_column`	The arguments `append` and `append_column` have been deprecated in favour of `augment`. Which of the output columns to append to log, if `append = TRUE`. Default column depends on chosen level.
`sort`	`logical` (default `TRUE`): Sort output on count. Only for levels with frequency count output.
`eventlog`	; please use `log` instead.

Details

Argument level has the following options:

At "log" level, this metric provides summary statistics on the number of distinct activities executed per resource.
On "activity" level, this metric provides an overview of the absolute and relative number of different resources executing this activity within the complete log. This will give insights into which activities resources are specialised in.
On "resource" level, this metric shows the absolute and relative number of distinct activities that each resource executes.

Methods (by class)

resource_specialisation(log): Computes the resource specialisation for a log.
resource_specialisation(grouped_log): Computes the resource specialisation for a grouped_log.

References

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