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]