longitudinalData (version 2.1.2)

plotCriterion: ~ Function: plotCriterion ~

Description

This function graphically displays the quality criterion of all the Partition of a ListPartition object.

Usage

plotCriterion(x, criterion=x["criterionActif"],nbCriterion=100)

Arguments

x

[ClusterLongData]: object whose quality criterion should be displayed.

criterion

[character]: name of the criterion(s) to plot. It can either display all the value for a single specific criterion or display several criterion, only the best value for each clusters number and for each criterion.

nbCriterion

[numeric]: if there is a big number of Partition, the graphical display of all of them can be slow. nbCriterion lets the user limit the number of criteria that will be taken in account.

Value

• No value are return. A graph is printed.

Details

This function display graphically the quality criterion (probably to decide the best clusters' number). It can either display all the criterion ; this is useful to see the consistency of the result : is the best clusterization obtain several time or only one ? It can also display only the best result for each clusters number : this helps to find the local maximum, which is classically used to chose the "correct" clusters' number.

Examples

###############
### Data generation
data(artificialLongData)
traj <- as.matrix(artificialLongData[,-1])

### Some clustering
listPart <- listPartition()
listPart["add"] <- partition(rep(c("A","B"),time=100),traj)
listPart["add"] <- partition(rep(c("A","B","B","B"),time=50),traj)
listPart["add"] <- partition(rep(c("A","B","C","A"),time=50),traj)
listPart["add"] <- partition(rep(c("A","B","C","D"),time=50),traj)
ordered(listPart)

################
### graphical display
plotCriterion(listPart)
plotAllCriterion(listPart,criterion=CRITERION_NAMES[1:5],TRUE)