longitudinalData-package {longitudinalData}R Documentation

~ Package overview: longitudinalData ~

Description

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

Details

Package: longitudinalData
Type: Package
Version: 0.5
Date: 2009-01-01
License: GPL (>= 2)
Lazyload: yes
Depends: methods,clv
URL: http://www.r-project.org

Overview

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

  1. plot
  2. plotSubGroups
  3. imputation
  4. quality criterion

Author(s)

Christophe Genolini
PSIGIAM: Paris Sud Innovation Group in Adolescent Mental Health
INSERM U669 / Maison de Solenn / Paris

Contact author : <genolini@u-paris10.fr>

See Also

Classes: LongData, Partition
Methods: longData, as.longData, selectSupTrajMinSize, partition
Plot: plot(LongData),plotSubGroups(LongData)
Imputation: imputation
Criterion: criterion

Examples

### Generation of artificial longData
data <- gald(percentOfMissing=0.3)
part <- partition(rep(1:4,each=50),4)
plot(data,part)

### Two methods of imputation
par(mfrow=c(1,2))
data1 <- imputation(data,method="linearInterpolation",partition=part)
plot(data1,part,legend=FALSE)

data2 <- imputation(data,method="LOCF")
plot(data2,part,legend=FALSE)

[Package longitudinalData version 0.6 Index]