pMineR (version 0.31)

logInspector: A class to perform a preliminary analysis on sequential data for Process Mining issues

Description

This class aims at inspecting an event-log for descriptive analysis purposes. The public methods are:

• logInspector( ) is the constructor of the class
• loadDataset( ) loads data taken from a dataLoader::getData() method, into a logInspector() object
• getEventStats() computes and returns event-related stats, such as absolute and relative events frequency
• getProcessStats() computes and returns process-related stats, such as absolute and relative processes frequency
• plotEventStats( ) plots the event-related stats (input is the number of most frequent events it has to plot)
• plotProcessStats( ) plots the process-related stats (input is the number of most frequent processes it has to plot)
• timeDistribution.stats.plot( )

In order to better undestand the use of such methods, please visit: www.pminer.info

Parameter for logInspector::plotEventStats() and logInspector::plotProcessStats() methods is:

• num the number of most frequent events/processes to plot

Usage

logInspector()

Examples

## Not run: 
# # -----------------------------------------------
# #  USING THE METHODS of the class
# # -----------------------------------------------
# obj.L<-dataLoader();   # create a Loader
# 
# # Load a .csv using "DES" and "ID" as column names to indicate events
# # and Patient's ID
# obj.L$load.csv(nomeFile = "../otherFiles/test_02.csv",
# IDName = "ID",EVENTName = "DES",dateColumnName = "DATA")
# 
# # now create an object logInspector
# obj.logI<-logInspector();
# 
# # load the data into logInspector object
# obj.logI$loadDataset( obj.L$getData() );
# 
# # get event-related descriptive statistics
# obj.logI$getEventStats();
# 
# # get process-related descriptive statistics
# obj.logI$getProcessStats();
# 
# # plot event-related descriptive statistics
# obj.logI$plotEventStats();
# 
# # plot process-related descriptive statistics
# obj.logI$plotProcessStats()
# ## End(Not run)