ArtificialLongData-class {kml}R Documentation

~ Class: ArtificialLongData~

Description

ArtificialLongData is a class design to build up artificial data set in order to explore clusterization's algorithm properties.

Construction

Objects can be created by calling generateArtificialLongData

Slots

name:
[character] name of the data set.
nbClusters:
[numeric] number of clusters
clusterNames:
[character] names of the clusters.
nbEachClusters:
[numeric] number of trajectories that compose each cluster.
time:
[numeric] time at which the measures are made.
functionClusters:
[list(function)] function list used to generate the average trajectory of each cluster.
functionNoise:
[list(function)] function list used to generate the noise of each trajectory within its own cluster.
trajMeanTheo:
[matrix] matrix containing the theoretical trajectories of each cluster, those that individuals would follow if they were not subject to individual variations.
trajMeanReal:
[matrix] matrix containing the average trajectories of each cluster, average trajectories that the individuals pursue indeed
id:
[character] single identifier for each individual.
varName:
[character] name of the variable which is being measured.
traj:
[array(numeric)] matrix of the trajectories of individuals. Each lign refers to an id, each column refers to a time.
percentOfMissing:
[numeric] percentage (between 0 and 1) of missing data generated in each cluster.

Methods

plot
signature(x = "ArtificialLongData", y = "ANY"):

Author(s)

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

Responsable : <genolini@u-paris10.fr>

English translation

Raphaël Ricaud
Laboratoire "Sport & Culture" / "Sports & Culture" Laboratory
University of Paris 10 / Nanterre

See Also

kml-package, generateArtificialLongData

Examples

showClass("ArtificialLongData")

[Package kml version 0.9.0 Index]