R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 3 of 3 found.
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kml3d : K-Means for Joint Longitudinal Data

Package: kml3d
Type: Package
Title: K-Means for Joint Longitudinal Data
Version: 2.4.1
Date: 2016-02-02
Authors@R: c(person("Christophe","Genolini",role=c("cre","aut"),email="christophe.genolini@u-paris10.fr"),
person("Bruno","Falissard",role=c("ctb")),
person("Jean-Baptiste","Pingault",role=c("ctb")))
Description: An implementation of k-means specifically design
to cluster joint trajectories (longitudinal data on
several variable-trajectories).
Like 'kml', it provides facilities to deal with missing
value, compute several quality criterion (Calinski and Harabatz,
Ray and Turie, Davies and Bouldin, BIC,...) and propose a graphical
interface for choosing the 'best' number of clusters. In addition, the 3D graph
representing the mean joint-trajectories of each cluster can be exported through
LaTeX in a 3D dynamic rotating PDF graph.
License: GPL (>= 2)
LazyData: yes
URL: http:www.r-project.org
Collate: global.r distance3d.r clusterLongData3d.r kml3d.r
Depends: methods, clv, rgl, misc3d, longitudinalData (>= 2.4), kml (>= 2.4)
Encoding: latin1
NeedsCompilation: no
Packaged: 2016-02-16 14:46:24 UTC; Christophe
Author: Christophe Genolini [cre, aut],
Bruno Falissard [ctb],
Jean-Baptiste Pingault [ctb]
Maintainer: Christophe Genolini <christophe.genolini@u-paris10.fr>
Repository: CRAN
Date/Publication: 2016-02-16 16:15:26

● Data Source: CranContrib
● Cran Task View: Cluster
● 0 images, 15 functions, 0 datasets
● Reverse Depends: 0

kmlShape : K-Means for Longitudinal Data using Shape-Respecting Distance

Package: kmlShape
Type: Package
Title: K-Means for Longitudinal Data using Shape-Respecting Distance
Version: 0.9.5
Date: 2016-03-08
Authors@R: c(person("Christophe","Genolini",role=c("cre","aut"),email="christophe.genolini@u-paris10.fr"),person("Elie","Guichard",role=c("ctb")))
Description: K-means for longitudinal data using shape-respecting distance and shape-respecting means.
License: GPL (>= 2)
LazyData: yes
Depends: methods, class, longitudinalData, kml, lattice
URL: http:www.r-project.org
Collate: global.R plot.R clds.R reduceTraj.R distanceFrechet.R
meanFrechet.R parKmlShape.R kmlShape.R
Encoding: latin1
KeepSource: TRUE
NeedsCompilation: yes
Packaged: 2016-03-04 21:25:18 UTC; Christophe
Author: Christophe Genolini [cre, aut],
Elie Guichard [ctb]
Maintainer: Christophe Genolini <christophe.genolini@u-paris10.fr>
Repository: CRAN
Date/Publication: 2016-03-05 00:22:43

● Data Source: CranContrib
● 0 images, 19 functions, 1 datasets
● Reverse Depends: 0

kml : K-Means for Longitudinal Data

Package: kml
Type: Package
Title: K-Means for Longitudinal Data
Version: 2.4.1
Date: 2016-02-02
Authors@R: c(person("Christophe","Genolini",role=c("cre","aut"),email="christophe.genolini@u-paris10.fr"),
person("Bruno","Falissard",role=c("ctb")))
Description: An implementation of k-means specifically design
to cluster longitudinal data. It provides facilities to deal with missing
value, compute several quality criterion (Calinski and Harabatz,
Ray and Turie, Davies and Bouldin, BIC, ...) and propose a graphical
interface for choosing the 'best' number of clusters.
License: GPL (>= 2)
LazyData: no
URL: http:www.r-project.org
Collate: global.R clusterLongData.R parKml.R parChoice.R kml.R
Depends: methods, clv, longitudinalData (>= 2.4)
Encoding: latin1
NeedsCompilation: yes
Packaged: 2016-02-11 17:37:52 UTC; Christophe
Author: Christophe Genolini [cre, aut],
Bruno Falissard [ctb]
Maintainer: Christophe Genolini <christophe.genolini@u-paris10.fr>
Repository: CRAN
Date/Publication: 2016-02-16 23:12:45

● Data Source: CranContrib
● Cran Task View: Cluster
● 0 images, 19 functions, 1 datasets
● Reverse Depends: 2