| longitudinalData-package {longitudinalData} | R Documentation |
longitudinalData provide some tools to deal with the clusterization
of longitudinal data.
| 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 |
longitudinalData provide some tools to deal with the clusterization
of longitudinal data, mainly:
Christophe Genolini
PSIGIAM: Paris Sud Innovation Group in Adolescent Mental Health
INSERM U669 / Maison de Solenn / Paris
Contact author : <genolini@u-paris10.fr>
Classes: LongData, Partition
Methods: longData, as.longData, selectSupTrajMinSize, partition
Plot: plot(LongData),plotSubGroups(LongData)
Imputation: imputation
Criterion: criterion
### 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)