Function to calculate the b-measure, which quantifies the sensory
differentiation retained.
Usage
getb(X.b, X.c, oneI = FALSE, oneM = FALSE)
Value
b-measure
Arguments
X.b
three-way (\(I \times J(J-1)/2 \times M\)) array with
\(I\) assessors, \(J(J-1)/2\) product comparisons, \(M\) CATA
attributes, where values are counts of types b and c from the function
barray)
X.c
array of same dimension as X.b, where values are counts of
types b and c from the function barray)
oneI
indicates whether calculation is for one assessor (default:
FALSE)
oneM
indicates whether calculation is for one attribute (default:
FALSE)
Author
J.C. Castura
References
Castura, J.C., Meyners, M., Varela, P., & Næs, T. (2022).
Clustering consumers based on product discrimination in check-all-that-apply
(CATA) data. Food Quality and Preference, 104564.
tools:::Rd_expr_doi("10.1016/j.foodqual.2022.104564").