cluster_expectationMaximization: logInspector class

In kbolab/pMineR: Processes Mining in Medicine

Description

This class provides some descriptive statistics about the log:

• costructor( ...) is the costructor of the class

• loadDataset( ...) loads data into a logInspector object. It takes as input the output of the method getData from an instance of the classe dataLoader. It stores the logs and built,internally to the logInspector object, all the structures needed for the next computations.

• getEventStats() returns a list containing event-related stats

• getProcessStats() returns a list containing process-related stats

• plotEventStats( ... ) plots event-related stats (takes a custom number of most frequent events it has to plot)

• plotProcessStats( ... ) plots process-related stats (takes a custom number of most frequent processes it has to plot)

Usage

cluster_expectationMaximization()

Arguments

Parameters

for plot methods is: num the number of most frequent events/processes to plot

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")

# 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
logI$getEventStats();  

# get process-related descriptive statistics 
logI$getProcessStats(); 

# plot event-related descriptive statistics
logI$plotEventStats();  

# plot process-related descriptive statistics 
logI$getProcessStats(); 

## End(Not run)

kbolab/pMineR documentation built on May 20, 2019, 8:10 a.m.