Consumer CATA data set: bread | R Documentation |
Consumer data from 161 assessors (consumers) who evaluated 6 products (breads) using a check-all-that-apply (CATA) question and the 9-point hedonic scale.
List with items:
$cata
: CATA data array (161 consumers \times
6 breads
\times
31 sensory attributes)
$liking
: 9-point hedonic scale data matrix (161 consumers \times
6 breads)
$ideal.cata
: CATA data matrix for ideal bread evaluations (161 consumers
\times
31 sensory attributes)
$liking
: 9-point hedonic scale data vector for ideal bread
(length: 161 consumers)
Responses to CATA questions are each coded 1
if the assessor checks the
attribute for the product; otherwise, it is coded 0
Meyners, M., Castura, J.C., & Carr, B.T. (2013). Existing and new approaches for the analysis of CATA data. Food Quality and Preference, 30, 309-319, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.foodqual.2013.06.010")}
data(bread)
# view CATA frequency table
apply(bread$cata, 2:3, sum)
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