Partition-class {longitudinalData} | R Documentation |
An object of class Partition
is a clusterization of
LongData
in subgroups.
Objects are mainly intend to be created by some clusterization methods (like k-means, fuzzy k-means, mixture modeling, latent class analysis,...)
nbClusters
clusters
A class Partition
object must follow some rules to be valid:
nbClusters
has to be lower or equal to 52 (fifty two clusters maximum).
clusters
is a factor in LETTERS[1:nbCluster]
if
nbClusters<=26
, in c(LETTERS,letters[1:(nbCluster-26)])
otherwise).
Class Partition
objects are mainly constructed by some clusterization methods
(like k-means, fuzzy k-means, mixture modeling, latent class
analysis,...) Neverdeless, it is also possible to construct them from
scratch using the fonction partition
.
nbClusters
)clusters
)
Christophe Genolini
PSIGIAM: Paris Sud Innovation Group in Adolescent Mental Health
INSERM U669 / Maison de Solenn / Paris
Contact author : <genolini@u-paris10.fr>
Article submited
Overview: longitudinalData-package
Classes: LongData
Methods: partition
### Building Partition part <- partition(rep(c("A","B","C"),time=10),nbClusters=4) ### '[' and '[<-' part["clusters"] part["nbClusters"] part["nbClusters"]<-3 (part)