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cata  

Analysis of Check-All-that-Apply (CATA) Data
View on CRAN: Click here


Download and install cata package within the R console
Install from CRAN:
install.packages("cata")

Install from Github:
library("remotes")
install_github("cran/cata")

Install by package version:
library("remotes")
install_version("cata", "0.1.0.5")



Attach the package and use:
library("cata")
Maintained by
J.C. Castura
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-12-03
Latest Update: 2024-03-04
Description:
Functions for analyzing check-all-that-apply (CATA) data from consumer and sensory tests. Cochran's Q test, McNemar's test, and Penalty-Lift analysis provided, as described in for CATA data analysis by Meyners, Castura & Carr (2013) . Cluster analysis can be performed using b-cluster analysis. The quality of cluster analysis solutions can be evaluated using various measures. The methods related to b-cluster analysis are described in a manuscript by Castura, Meyners, Varela & N
How to cite:
J.C. Castura (2021). cata: Analysis of Check-All-that-Apply (CATA) Data. R package version 0.1.0.5, https://cran.r-project.org/web/packages/cata
Previous versions and publish date:
0.0.10.3 (2021-12-03 19:10), 0.0.10.8 (2022-03-05 15:20), 0.0.10.9 (2022-05-23 17:30), 0.0.10.12 (2023-08-15 09:20), 0.1.0.2 (2024-02-17 19:40), 0.1.0.5 (2024-03-04 19:30)
Other packages that cited cata R package
View cata citation profile
Other R packages that cata depends, imports, suggests or enhances
Functions, R codes and Examples using the cata R package
Some associated functions: ARI . barray . bcluster.h . bcluster.n . bcluster . bread . cochranQ . code.topk . evaluateClusterQuality . getb . homogeneity . inspect . mcnemarQ . pLift . rv.coef . salton . selectionPlot . toMatrix . toWideMatrix . topc . 
Some associated R codes: cata-internal.R . cata.R . evalClusterQuality.R . pLift.R .  Full cata package functions and examples
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