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ClustVarLV (version 1.4.0)

Clustering of Variables Around Latent Variables

Description

Functions for the clustering of variables around Latent Variables. Each cluster of variables, which may be defined as a local or directional cluster, is associated with a latent variable. External variables measured on the same observations or/and additional information on the variables can be taken into account.

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Version

Install

install.packages('ClustVarLV')

Monthly Downloads

326

Version

1.4.0

License

GPL-2

Maintainer

Evelyne Vigneau

Last Published

June 2nd, 2015

Functions in ClustVarLV (1.4.0)

CLV

Hierarchical clustering of variables with consolidation
data_biplot

biplot for the dataset
print.clv

Print the CLV results
get_comp

To get the latent variables associated with each cluster
summary_clv

Description of the clusters of variables
apples_sh

apples from southern hemisphere data set
get_load

To get the loadings of the external variables regarding the latent variable in each cluster
AUPA_psycho

Psychological eating behavior data set
authen_NMR

Authentication data set/ NMR spectra
plot.lclv

Graphical representation of the LCLV clustering stages
CLV_kmeans

K-means algorithm for the clustering of variables
LCLV

L-CLV for L-shaped data
plot_var

Representation of the variables and their group membership
get_partition

To get the clusters of variables.
print.lclv

Print the LCLV results
stand_quali

Standardization of the qualitative variables
plot.clv

Graphical representation of the CLV clustering stages