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

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Documentation for package ‘cata’ version 0.1.2.0

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ARI Adjusted Rand index
barray Convert CATA binary data to CATA differences array
bcdiff Convert 3d array of CATA differences
bcluster Wrapper function for b-cluster analysis
bcluster.h b-cluster analysis by hierarchical agglomerative strategy
bcluster.n b-cluster analysis by non-hierarchical iterative ascent clustering strategy
bread Consumer CATA data set: bread
cochranQ Cochran's Q test
code.topk Apply top-k box coding to scale data
evaluateClusterQuality Evaluate Quality of Cluster Analysis Solution
getb Calculate the b-measure
homogeneity Calculate within-cluster homogeneity
inspect Inspect/summarize many b-cluster analysis runs
mad.dist MAD distances between objects
madperm Permutation tests for CATA data
mcnemarQ McNemar's test
plift Penalty-Lift Analysis
rv.coef Calculate RV Coefficient
salton Salton's cosine measure
selectionPlot Plot variation in retained sensory differentiation
squashes Consumer CATA data set: squashes
topc Apply top-c choices coding to a vector of scale data from a respondent
toTallMatrix 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