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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 0.3.2 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

917

Version

0.4.1

License

GPL-3

Maintainer

Gert Janssenswillen

Last Published

June 2nd, 2016

Functions in edeaR (0.4.1)

activity_id

Activity classifier
BPIC14_incident_case_attributes

BPI Challenge 2014 Incidents
BPIC15_1_imported

BPI Challenge 2015 Log Municipality 1
activity_instance_id

Activity instance classifier
BPIC14_incident_log

BPI Challenge 2014 Incident Activities
activity_specialization

Metric: Activity Specialization
activities

Activities
activity_type_frequency

Metric: Activity Type Frequency
cases

Cases
case_attributes_from_xes

Case Attributes from Xes-file
eventlog

Eventlog
activity_presence

Metric: Activity Presence
BPIC15_1

BPI Challenge 2015 Log Municipality 1
filter_time_period

Filter: Time Period
lifecycle_id

Life cycle classifier
n_events

n_events
mapping

Mapping
n_resources

n_resources
end_activities

Metric: End activities
durations

Durations
case_id

Case classifier
edeaR

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

Metric: Resource frequency
filter_trim

Filter: Trim cases
filter_trace_frequency

Filter: Trace frequency percentile
processing_time

Metric: Processing time
filter_trace_length

Filter: Trace length percentile
filter_endpoints

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

Example eventlog in data.frame format
timestamp

Timestamp classifier
traces

Traces
trace_coverage

Metric: Trace coverage
eventlog_from_xes

eventlog_from_xes
filter_throughput_time

Filter: Throughput Time
filter_activity_frequency

Filter: Activity frequency
example_log

Example eventlog
n_activity_instances

n_activity_instances
filter_activity

Filter: Activity
n_activities

n_activities
filter_precedence

Filter: precedence relations
n_cases

n_cases
start_activities

Metric: Start activities
n_traces

n_traces
number_of_selfloops

Metric: Number of selfloops in trace
number_of_traces_with_selfloop

Metric: Number of Traces with Selfloop
resource_involvement

Metric: Resource Involvement
number_of_traces

Metric: Number of traces
print.eventlog

Generic print function for eventlog
resource_id

Resource classifier
resource_activity_involvement

Metric: Resource Activity Involvement
repetitions

Metric: Repetitions
size_of_selfloops

Metric: Size of selfloops
resource_specialization

Metric: Resource Specialization
throughput_time

Metric: Throughput time of cases
write_xes

Write XES file
trace_length

Metric: Trace length
summary.eventlog

Generic summary function for eventlog class