Learn R Programming
⚠️There's a newer version (4.1.1) of this package.Take me there.

ClustBlock (version 3.2.0)

Clustering of Datasets

Description

Hierarchical and partitioning algorithms of blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2020) , Llobell, Vigneau & Qannari (2019) ) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) , Llobell, Giacalone, Labenne & Qannari (2019) ) are the core of this package. The CATATIS methods allows to compute some indices and tests to control the quality of CATA data. Multivariate analysis and clustering of subjects for quantitative multiblock data, CATA, RATA, Free Sorting and JAR experiments are available.

Copy Link

Version

Install

install.packages('ClustBlock')

Monthly Downloads

451

Version

3.2.0

License

GPL-3

Maintainer

Fabien Llobell

Last Published

August 30th, 2023

Functions in ClustBlock (3.2.0)

clustatis_kmeans

Compute the CLUSTATIS partitioning algorithm on different blocks of quantitative variables. Can be performed using a multi-start strategy or initial partition provided by the user.
cluscata_kmeans

Compute the CLUSCATA partitioning algorithm on different blocks from a CATA experiment. Can be performed using a multi-start strategy or initial partition provided by the user.
cluscata_kmeans_jar

Perform a cluster analysis of subjects in a JAR experiment.
clustatis_FreeSort

Perform a cluster analysis of free sorting data
consistency_cata_panel

Test the consistency of the panel in a CATA experiment
fish

fish data
cluscata_jar

Perform a cluster analysis of subjects in a JAR experiment.
print.clustatis

Print the CLUSTATIS results
clustatis_FreeSort_kmeans

Compute the CLUSTATIS partitionning algorithm on free sorting data
consistency_cata

Test the consistency of each attribute in a CATA experiment
preprocess_FreeSort

Preprocessing for Free Sorting Data
clustatis

Perform a cluster analysis of blocks of quantitative variables
plot.cluscata

Displays the CLUSCATA graphs
plot.catatis

Displays the CATATIS graphs
print.catatis

Print the CATATIS results
statis

Performs the STATIS method on different blocks of quantitative variables
plot.clustatis

Displays the CLUSTATIS graphs
plot.statis

Displays the STATIS graphs
summary.cluscata

Show the CLUSCATA results
print.cluscata

Print the CLUSCATA results
statis_FreeSort

Performs the STATIS method on Free Sorting data
summary.clustatis

Show the CLUSTATIS results
simil_groups_cata

Testing the difference in perception between two predetermined groups of subjects in a CATA experiment
straw

strawberries data
smoo

smoothies data
summary.catatis

Show the CATATIS results
preprocess_JAR

Preprocessing for Just About Right Data
summary.statis

Show the STATIS results
print.statis

Print the STATIS results
choc

chocolates data
catatis

Perform the CATATIS method on different blocks from a CATA experiment
cheese

cheese Just About Right data
catatis_rata

Perform the CATATIS method on different blocks from a RATA experiment
RATAchoc

RATA data on chocolates
change_cata_format

Change format of CATA datasets to perform CATATIS or CLUSCATA function
catatis_jar

Perform the CATATIS method on Just About Right data.
cluscata

Perform a cluster analysis of blocks from a CATA experiment
change_cata_format2

Change format of CATA datasets to perform the package functions
ClustBlock-package

Clustering of Datasets