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edeaR

R-package for exploratory and descriptive event data analysis.

This package provides several useful techniques for Exploratory and Descriptive analysis of event based data in R, developed by the Business Informatics Research Group of Hasselt University

Installation

Version 0.4.1 of the package can be installed from CRAN:

install.packages("edeaR")

The latest version of the package can be installed from github through the use of the devtools package.

devtools::install_github("gertjanssenswillen/edeaR", build_vignettes = T)

For more information, check the manual on github or one of the several vignettes using browseVignettes("edeaR") .

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Version

Install

install.packages('edeaR')

Monthly Downloads

877

Version

0.5.0

License

MIT + file LICENSE

Maintainer

Gert Janssenswillen

Last Published

April 1st, 2017

Functions in edeaR (0.5.0)

case_attributes_from_xes

Case Attributes from Xes-file
edeaR

edeaR - Exploratory and Descriptive Event-based data Analysis in R
activity_frequency

Metric: Activity Frequency
end_activities

Metric: End activities
filter_activity

Filter: Activity
filter_processing_time

Filter: Processing Time
activity_presence

Metric: Activity Presence
csv_example

Example eventlog in data.frame format
BPIC15_1_imported

BPI Challenge 2015 Log Municipality 1
BPIC15_1

BPI Challenge 2015 Log Municipality 1
filter_activity_frequency

Filter: Activity frequency
filter_resource

Filter: Resource
eventlog_from_xes

eventlog_from_xes
filter_precedence

Filter: precedence relations
filter_endpoints

Filter: Filter based on percentile of start and end activities
filter_activity_presence

Filter: Activity Presence
idle_time

Metric: Idle Time
number_of_traces_with_selfloop

Metric: Number of Traces with Selfloop
filter_case

Filter: Case
example_log

Example eventlog
filter_trace_frequency

Filter: Trace frequency percentile
filter_trace_length

Filter: Trace length percentile
filter_trim

Filter: Trim cases
number_of_repetitions

Metric: Number of repetitions
number_of_selfloops

Metric: Number of selfloops in trace
filter_time_period

Filter: Time Period
number_of_traces

Metric: Number of traces
filter_throughput_time

Filter: Throughput Time
resource_specialisation

Metric: Resource Specialisation
resource_frequency

Metric: Resource frequency
size_of_selfloops

Metric: Size of selfloops
redo_repetitions_referral_matrix

Referral matric repetitons
processing_time

Metric: Processing time
redo_selfloops_referral_matrix

Referral matric selfloops
size_of_repetitions

Metric: Size of repetitions
reexports

Objects exported from other packages
resource_involvement

Metric: Resource Involvement
throughput_time

Metric: Throughput time of cases
trace_coverage

Metric: Trace coverage
start_activities

Metric: Start activities
write_xes

Write XES file
trace_length

Metric: Trace length
BPIC14_incident_case_attributes

BPI Challenge 2014 Incidents
BPIC14_incident_log

BPI Challenge 2014 Incident Activities