| bcdiff | R Documentation |
products, M attributes) to a four-dimensional array of product
comparisons (I assessors, J(J-1)/2
product comparisons, two outcomes (of type b or c), M
attributes)
bcdiff(X)
X |
three-dimensional array ( |
three-way array of I ]assessors, J(J-1)/2 product
comparisons, and M attributes.
J.C. Castura
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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.foodqual.2022.104564")}.
# Get the 3d array of CATA differences for the first 8 consumers
head(bcdiff <- bcdiff(bread$cata[1:8,,]))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.