R/cata_ryebread.R

In ClustBlock: Clustering of Datasets

#' cata_ryebread data
#'
#' @docType data
#'
#' @usage data(cata_ryebread)
#'
#' @format CATA data. A data frame with 6 rows (the number of ryebread) and 1848 columns (the number of consumers (132) * the number of attributes (14)).
#'  For each consumer,each attribute and each product, there is 1 if the attribute has been checked by the consumer for the product, and 0 if not.
#'
#' @keywords datasets
#'
#' @references  Giacalone, D. (2018). Product Performance Optimization. In Ares, G., & Varela, P. (Eds.)
#' Methods in Consumer Research, Volume I (Chapter 7. pp. 159-185), Elsevier.
#'
#' @examples
#' data(cata_ryebread)
"cata_ryebread"