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cata (version 0.0.10.9)

Analysis of Check-All-that-Apply (CATA) Data

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 & Naes (2022) .

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Version

Install

install.packages('cata')

Monthly Downloads

314

Version

0.0.10.9

License

GPL (>= 2)

Maintainer

J C Castura

Last Published

May 23rd, 2022

Functions in cata (0.0.10.9)

getb

Calculate the b-measure
inspect

Inspect/summarize many b-cluster analysis runs
cochranQ

Cochran's Q test
bcluster.n

b-cluster analysis by non-hierarchical iterative ascent clustering strategy
evaluateClusterQuality

Evaluate Quality of Cluster Analysis Solution
bcluster.h

b-cluster analysis by hierarchical agglomerative strategy
Consumer CATA data set: bread

Consumer CATA data set: bread
homogeneity

Calculate within-cluster homogeneity
barray

Convert 3d array of CATA data to 4d array of CATA differences
toMatrix

Converts 3d array of CATA data to a tall 2d matrix format
toWideMatrix

Converts 3d array of CATA data to a wide 2d matrix format
salton

Salton's cosine measure
rv.coef

Calculate RV Coefficient
bcluster

Wrapper function for b-cluster analysis
pLift

Penalty-Lift Analysis
mcnemarQ

McNemar's test