longitudinalData (version 2.0)

ListPartition-class: ~ Class: ListPartition ~

Description

An object of class ListPartition contain several liste of Partition sorted by cluster numbers.

Objects from the Class

Objects are mainly design to store the numerous Partition found by kml or kml3d.

Construction

Class ListPartition objects are mainly constructed by kml. Neverdeless, it is also possible to construct them from scratch using the fonction listPartition that does create an empty object.

Author

Christophe Genolini 1. UMR U1027, INSERM, Universit� Paul Sabatier / Toulouse III / France 2. CeRSME, EA 2931, UFR STAPS, Universit� de Paris Ouest-Nanterre-La D�fense / Nanterre / France

References

[1] Christophe M. Genolini and Bruno Falissard "KmL: k-means for longitudinal data" Computational Statistics, vol 25(2), pp 317-328, 2010 [2] Christophe M. Genolini and Bruno Falissard "KmL: A package to cluster longitudinal data" Computer Methods and Programs in Biomedicine, 104, pp e112-121, 2011

See Also

Classes: LongData Methods: Partition

Examples

##############
### Preparing data
data <- gald(30)["traj"]

### Some clustering
part2 <- partition(rep(c("A","B","A"),time=40),data)
part3 <- partition(rep(c("A","B","C"),time=40),data)
part3b <- partition(rep(c("A","B","C","B","C"),time=24),data)
part4 <- partition(rep(c("A","B","A","C","D"),time=24),data)


################
### ListPartition
listPart <- listPartition()
listPart['criterionActif'] <-"Davies.Bouldin"
plotCriterion(listPart)

listPart["add"] <- part2
listPart["add"] <- part3
listPart["add"] <- part3b
listPart["add"] <- part4
listPart["add"] <- part4
listPart["add"] <- part3
listPart["add"] <- part3b

plotCriterion(listPart)
ordered(listPart)
plotCriterion(listPart)
regroup(listPart)
plotCriterion(listPart)