| Clusterization-class {kml} | R Documentation |
An object of class Clusterization is a partition of
trajectories in subgroups.
The object also contains a certain number of information like the
percentage of trajectories that each group contains or the Calinski criterion.
Objects are not intend to be created by users. Clusterization are created
by kml and directly added to a "ClusterizLongData" object.
idnbClustersclustersA to LETTERS[nbClusters]. Please note that a group might
be empty. The groups are sort in reverse order (A is the
biggest group, Bis the next,...percentEachClustervarBetweentraceBetweenvarWithintraceWithindetWithincalinskiCriteriontraceBetween/traceWithin*(g-1)/(n-g) with
g=number of groups and n=number of individual.)convergenceTime:kml to find the Clusterization
A class Clusterization object must follow some rules to be valid:
nbClusters has to be lower or equal to 10 (ten clusters maximum).
clusters and id have to have the same length.
clusters has to be a factor in LETTERS[1:nbCluster] (with
nbClusters lower than 10).
table(clusters) has to be in the reverse order
(clusters are sorted form the biggest to the smallest).
id cannot be duplicated.
id cannot be missing.
The partitioning of an ensemble of trajectories is given by the couple
(id,clusters).
id must correspond to id of an object of class ClusterizLongData ; the vector clusters
then sets the group that each individual belongs to.
showClass("Clusterization")