parKmlShape: ~ Function: parKmlShape ~
In kmlShape: K-Means for Longitudinal Data using Shape-Respecting Distance

Description Usage Arguments Details Value Examples

parKmlShape is a constructor for the object ParKml.

1 2	parKmlShape(aggregationMethod="all", shuffle=TRUE, sampleSize=128, methodHclust="average", maxIter=100)

`aggregationMethod`	[`character`]: define the aglomerative method used to compute the mean. Three methods are curently available: "all", "sample" and "hierarchical". See `meanFrechet` and [1] for details.
`shuffle`	[`logical`]: if the agglomerationMethod is "all" or "sample", this variable is use to decide if the trajectories will be agglomerate in a random order (`shuffle=TRUE`) or not. If not, the lexical order based on the individual identifiant is used.
`sampleSize`	[`integer`]: Define the number of trajectories that will be use to compute the `meanFrechet` when the aggregationMethod is "sample".
`methodHclust`	[`character`]: define the distance between two clusters used by the hierarchical clustering when the aggregationMethod is "hierarchical". The methods available are the one for `hclust`
`maxIter`	[`numeric`]: the maximum number of iteration allowed.

parKmlShape is the constructor of object ParKml.

An object ParKmlShape.

1 2	parKmlShape() parKmlShape(aggregationMethod="hierarchical",methodHclust="single")

Loading required package: class
Loading required package: longitudinalData
Loading required package: clv
Loading required package: cluster
Loading required package: rgl
Loading required package: misc3d
Loading required package: kml
Loading required package: lattice

Attaching package: ‘kmlShape’

The following object is masked from ‘package:longitudinalData’:

    distFrechet

Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl.init' failed, running with 'rgl.useNULL = TRUE'. 
3: no DISPLAY variable so Tk is not available 
   ~~~ Class: ParKmlShape ~~~ 
 ~ aggregationMethod :  all
 ~ shuffle :  TRUE
 ~ sampleSize :  128
 ~ methodHclust :  average
 ~ maxIter :  100
   ~~~ Class: ParKmlShape ~~~ 
 ~ aggregationMethod :  hierarchical
 ~ shuffle :  TRUE
 ~ sampleSize :  128
 ~ methodHclust :  single
 ~ maxIter :  100