~ Package overview: longitudinalData ~

Description

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

Details

Package: longitudinalData
Type: Package
Version: 2.4.1
Date: 2016-02-02
License: GPL (>= 2)
LazyData: yes
Depends: methods,clv,rgl,misc3d
URL: http://www.r-project.org

Overview

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

  1. plotTrajMeans

  2. imputation

  3. qualityCriterion

Author

Christophe Genolini
1. UMR U1027, INSERM, Universit<e9> Paul Sabatier / Toulouse III / France
2. CeRSM, EA 2931, UFR STAPS, Universit<e9> de Paris Ouest-Nanterre-La D<e9>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, Partition
Methods: longData, partition, ordered
Plot: plotTrajMeans, plotTrajMeans3d
Imputation: imputation
Criterion: qualityCriterion

Examples

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### 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))
plotTrajMeans3d(myData,part)

### Quality criterion
qualityCriterion(myData,part)

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