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cata
View on CRAN: Click
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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", "0.1.0.7")
Attach the package and use:
library("cata")
Maintained by
J.C. Castura
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[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 0.1.0.7, https://cran.r-project.org/web/packages/cata. Accessed 22 Dec. 2024.
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imports, suggests or enhances
Complete documentation for cata
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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