longitudinalData (version 2.1.2)

longitudinalData-package: ~ Package overview: longitudinalData ~

Description

longitudinalData package provide some tools to deal with the clusterization of longitudinal data.

Overview

longitudinalData provide some tools to deal with the clustering of longitudinal data, mainly:

1. plotTraj
2. imputation
3. qualityCriterion

Author

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

Details

ll{ Package: longitudinalData Type: Package Version: 2.1.2 Date: 2012-12-01 License: GPL (>= 2) LazyData: yes Depends: methods,clv,rgl,misc3d URL: http://www.r-project.org }

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, Partition Methods: longData, partition, ordered Plot: plotTraj, plotTraj3d Imputation: imputation Criterion: qualityCriterion

Examples

### Generation of artificial longData
data(artificialJointLongData)
myData <- longData3d(artificialJointLongData,timeInData=list(var1=2:12,var2=13:23,var3=24:34))

part <- partition(rep(1:3,each=50))
plotTraj3d(myData,part)

### Quality criterion
qualityCriterion(myData,part)