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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 0.8.0 of the package can be installed from CRAN:

install.packages("edeaR")

For more information, check the manual on github or check http://www.bupar.net

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Version

Install

install.packages('edeaR')

Monthly Downloads

1,270

Version

0.8.6

License

MIT + file LICENSE

Issues

5

Pull Requests

0

Stars

12

Forks

3

Maintainer

Gert Janssenswillen

Last Published

October 1st, 2020

Functions in edeaR (0.8.6)

filter_endpoints

Filter: Start and end activities
change_day

Adjust days in work schedule
filter_endpoints_conditions

Filter: Start and end conditions
create_work_schedule

Create work schedule
filter_time_period

Filter: Time Period
activity_frequency

Metric: Activity Frequency
filter_trace

title Filter: Trace
filter_infrequent_flows

Filter cases based on infrequent flows.
filter_activity_instance

title Filter: Activity instance
redo_selfloops_referral_matrix

Referral matrix selfloops
redo_repetitions_referral_matrix

Referral matrix repetitons
throughput_time

Metric: Throughput time of cases
trace_coverage

Metric: Trace coverage
idle_time

Metric: Idle Time
end_activities

Metric: End activities
edeaR

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

Filter: Life cycle
filter_activity_presence

Filter: Activity Presence
filter_throughput_time

Filter: Throughput Time
filter_resource_frequency

Filter: Activity frequency
plot

Plot Methods
print.activity_frequency

Activity Frequency Print
filter_lifecycle_presence

Filter: Life cycle Presence
filter_precedence

Filter: precedence relations
filter_case

title Filter: Case
activity_presence

Metric: Activity Presence
filter_case_condition

title Filter: Case
filter_trace_frequency

Filter: Trace frequency
resource_frequency

Metric: Resource frequency
reexports

Objects exported from other packages
filter_trace_length

Filter: Trace length percentile
trace_length

Metric: Trace length
filter_processing_time

Filter: Processing Time
filter_resource

Filter: Resource
print.processing_time

Processing Time Print
print.number_of_selfloops

Selfloops Print
size_of_selfloops

Metric: Size of selfloops
start_activities

Metric: Start activities
filter_precedence_condition

Filter: precedence relations
filter_precedence_resource

Filter: precedence relations with identical resources
filter_trim_lifecycle

Filter: Trim activity instances based on life cycle labels
filter_trim

Filter: Trim cases
number_of_selfloops

Metric: Number of selfloops in trace
number_of_repetitions

Metric: Number of repetitions
print.number_of_repetitions

Repetitions Print
print.idle_time

Idle Time Print
resource_involvement

Metric: Resource Involvement
resource_specialisation

Metric: Resource Specialisation
number_of_traces

Metric: Number of traces
print.throughput_time

Throughput Time Print
print.trace_length

Trace length Print
setdiff

Set operations
processing_time

Metric: Processing time
print.trace_coverage

Trace coverage print
size_of_repetitions

Metric: Size of repetitions
filter_activity_frequency

Filter: Activity frequency
filter_activity

Filter: Activity