Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
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Results 1 - 10 of 15 found.
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plot3d,ClusterLongData3d (Package: kml3d) : ~ Function: plot3d for ClusterLongData3d ~

Plot two variables of a ClusterLongData3d object in 3D, optionnaly relatively to a Partition.
● Data Source: CranContrib
● Keywords: aplot, package, ts
● Alias: plot3d
● 0 images

plotTraj3d,ClusterLongData3d (Package: kml3d) : ~ Function: plotTraj3d for ClusterLongData3d ~

Plot the trajectories of two variables of a ClusterLongData3d object in 3D relatively to a Partition.
● Data Source: CranContrib
● Keywords: aplot, package, ts
● Alias: plotTraj3d
● 0 images

plotMeans3d,ClusterLongData3d (Package: kml3d) : ~ Function: plotMeans3d for ClusterLongData3d ~

Plot the means of two variables of a ClusterLongData3d object in 3D relatively to a Partition.
● Data Source: CranContrib
● Keywords: aplot, package, ts
● Alias: plotMeans3d
● 0 images

generateArtificialLongData3d (Package: kml3d) : ~ Function: generateArtificialLongData3d (or gald3d) ~

This function builp up an artificial longitudinal data set (joint trajectories) an turn them into an object of class ClusterLongData.
● Data Source: CranContrib
● Keywords: cluster, datagen, ts
● Alias: gald3d, generateArtificialLongData3d
● 0 images

parKml3d (Package: kml3d) : ~ Function: parKml3d ~

parKml3d is a constructor of object ParKml that provide adequate default value for the use of function kml3d.
● Data Source: CranContrib
● Keywords:
● Alias: parKml3d
● 0 images

pregnandiol (Package: kml3d) : ~ Pregnandiol measure (from QUIDEL database, René Écochard) ~

These longitudinal data are extract form the QUIDEL database whose aims is to studies hormone profiles among women who have no fertility problem.
● Data Source: CranContrib
● Keywords: clusters, documentation
● Alias: pregnandiol
● 0 images

dist3d (Package: kml3d) :

Compute the distante between two joint trajectories.
● Data Source: CranContrib
● Keywords:
● Alias: dist3d
● 0 images

kml3d (Package: kml3d) : ~ Algorithm kml3d: K-means for Joint Longitidinal data ~

kml3d is a new implementation of k-means for joint longitudinal data (or joint trajectories). This algorithm is able to deal with missing value and provides an easy way to re roll the algorithm several times, varying the starting conditions and/or the number of clusters looked for.
● Data Source: CranContrib
● Keywords: chron, classif, cluster, dplot, nonparametric, robust, spatial, ts
● Alias: kml3d, kml3d,ClusterLongData-method, kml3d-method
● 0 images

affectIndiv3d (Package: kml3d) :

Given some longitudinal data (trajectories) and k clusters centers, affectIndiv3d affects each individual to the cluster whose center is the closest.
● Data Source: CranContrib
● Keywords:
● Alias: affectIndiv3d
● 0 images

kml3d-package (Package: kml3d) : ~ Overview: KmL3D, K-means for joint Longitudinal data ~

KmL3D is a new implementation of k-means for longitudinal data (or trajectories). Here is an overview of the package.
● Data Source: CranContrib
● Keywords: chron, classif, cluster, dplot, iplot, models, nonparametric, package, robust, spatial, ts
● Alias: [,ParChoice-method, [<-,ParChoice-method, kml3d-package
● 0 images