regroup {longitudinalData} | R Documentation |
~ Function: regroup ~
Description
Remove duplicate Partition
present in a
ListPartition
(or, by inheritance, in
ClusterLongData
and ClusterLongData3d
objects.
Usage
regroup(object)
Arguments
object |
|
Details
A clusterizing algorithm can find a Partition
several time. It
is store several time in object ListPartition
(or in
ClusterLongData
or in ClusterLongData3d
), encombering
the memory. regroup
remove the duplicate
Partition
. Note that if the ListPartition
is not ordered, then
regroup
sort it unless toOrder=FALSE
.
Value
None (this function change internaly the field of an object, it does not return any values.)
Author
Christophe Genolini
1. UMR U1027, INSERM, Université Paul Sabatier / Toulouse III / France
2. CeRSME, EA 2931, UFR STAPS, Université de Paris Ouest-Nanterre-La Défense / 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
Examples
### Some data
data(artificialLongData)
myLd <- as.matrix(artificialLongData[,-1])
### Some clustering
part2 <- partition(rep(c("A","B","A","C"),time=50),myLd)
part3 <- partition(rep(c("A","B","C","D"),time=50),myLd)
################
### ListPartition
listPart <- listPartition()
listPart["add"] <- part2
listPart["add"] <- part3
listPart["add"] <- part2
listPart["add"] <- part3
### Some clustering has been found several time
### regroup will suppress the duplicate one
regroup(listPart)
plotCriterion(listPart)