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ClustVarLV (version 2.1.1)

Clustering of Variables Around Latent Variables

Description

Functions for the clustering of variables around Latent Variables, for 2-way or 3-way data. 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. A "noise" cluster or sparse latent variables can also be defined.

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Version

Install

install.packages('ClustVarLV')

Monthly Downloads

388

Version

2.1.1

License

GPL-3

Maintainer

Evelyne Vigneau

Last Published

May 28th, 2022

Functions in ClustVarLV (2.1.1)

CLV3W

Hierarchical clustering of variables (associated with mode 2 three-way array) with consolidation
block.scale

Scaling of a three-way array
CLV_kmeans

K-means algorithm for the clustering of variables
AUPA_psycho

Psychological eating behavior data set
CLV

Hierarchical clustering of variables with consolidation
CLV3W_kmeans

Partitioning algorithm of a set of variables (associated with mode 2) oh a three-way array
LCLV

L-CLV for L-shaped data
boot_clv

Boostrapping for assessing the stability of a CLV result
authen_NMR

Authentication data set/ NMR spectra
apples_sh

apples from southern hemisphere data set
get_loading

Loadings of the variables on the latent component, in each cluster.
get_comp

latent components associated with each cluster
data_biplot

biplot for the dataset
stand_quali

Standardization of the qualitative variables
summary.clv

summary and description of the clusters of variables
plot_var

Representation of the variables and their group membership
summary.clv3w

Summary and description of the clusters of (mode 2) variables associated with CLV3W or CLV3W_kmeans
get_partition

clusters memberships for a partition into K clusters.
plot_var.clv3w

Scores plot from a Candecomp Parafac analysis. The group membership of the variables is superimposed.
get_weight

Weights of the external variables, or additional mode, on the latent component in each cluster.
print.clv3w

Print the CLV3W results
print.lclv

Print the LCLV results
imput_clv

Imputation of a data matrix based on CLV results
plot.lclv

Graphical representation of the LCLV clustering stages
plot.clv3w

Graphical representation of the CLV3W hierarchical clustering stages
ciders

ciders data
plot.clv

Graphical representation of the CLV clustering stages
lm_CLV

linear model based on CLV
predict.lmclv

prediction for lmCLV models.
coffee

coffee data
print.clv

Print the CLV results