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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

1,040

Version

0.4.4

License

GPL-3

Maintainer

Gert Janssenswillen

Last Published

September 21st, 2016

Functions in edeaR (0.4.4)

BPIC15_1

BPI Challenge 2015 Log Municipality 1
BPIC14_incident_case_attributes

BPI Challenge 2014 Incidents
activity_specialization

Metric: Activity Specialization
BPIC15_1_imported

BPI Challenge 2015 Log Municipality 1
BPIC14_incident_log

BPI Challenge 2014 Incident Activities
activity_id

Activity classifier
activities

Activities
activity_type_frequency

Metric: Activity Type Frequency
eventlog_from_xes

eventlog_from_xes
end_activities

Metric: End activities
cases

Cases
csv_example

Example eventlog in data.frame format
durations

Durations
eventlog

Eventlog
example_log

Example eventlog
case_attributes_from_xes

Case Attributes from Xes-file
case_id

Case classifier
edeaR

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

Filter: Throughput Time
filter_case

Filter: Case
filter_endpoints

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

Filter: Processing Time
filter_activity_frequency

Filter: Activity frequency
filter_trace_frequency

Filter: Trace frequency percentile
filter_activity

Filter: Activity
filter_resource

Filter: Resource
filter_precedence

Filter: precedence relations
filter_time_period

Filter: Time Period
n_activities

n_activities
n_cases

n_cases
n_events

n_events
filter_trace_length

Filter: Trace length percentile
n_resources

n_resources
filter_trim

Filter: Trim cases
n_traces

n_traces
n_activity_instances

n_activity_instances
lifecycle_id

Life cycle classifier
mapping

Mapping
re_map

Re map
repetitions

Metric: Repetitions
number_of_traces

Metric: Number of traces
print.eventlog_mapping

Generic print function for eventlog_mapping
resource_id

Resource classifier
number_of_traces_with_selfloop

Metric: Number of Traces with Selfloop
number_of_selfloops

Metric: Number of selfloops in trace
resource_frequency

Metric: Resource frequency
processing_time

Metric: Processing time
print.eventlog

Generic print function for eventlog
resources

Resources
size_of_selfloops

Metric: Size of selfloops
resource_involvement

Metric: Resource Involvement
timestamp

Timestamp classifier
throughput_time

Metric: Throughput time of cases
trace_length

Metric: Trace length
trace_coverage

Metric: Trace coverage
resource_specialization

Metric: Resource Specialization
traces

Traces
write_xes

Write XES file
start_activities

Metric: Start activities
summary.eventlog

Generic summary function for eventlog class
activity_instance_id

Activity instance classifier
activity_presence

Metric: Activity Presence