sensehubr: A Tidy Approach for Sensory Analyses

#' Perfume QDA Consumers
#'
#' This dataset containing information about 12 perfumes that evaluated by 103 consumer panelists using predefined lexicons
#'
#' \describe{
#'   \item{consumer}{consumers' id}
#'   \item{product}{perfumes}
#'   \item{freshness-green}{lexicons regarding perfume, using JAR scale with 0 as JAR value}
#'   \item{liking}{hedonic liking score}
#' }
#'
#' @source Analyzing Sensory Data with R \url{www.sensorywithr.org}
"perfume_jar"

#' Perfume QDA Consumers
#'
#' This dataset containing information about 12 perfumes that evaluated by 103 consumer panelists using predefined lexicons
#'
#' \describe{
#'   \item{consumer}{consumers' id}
#'   \item{product}{perfumes}
#'   \item{intensity-green}{lexicons regarding perfume}
#' }
#'
#' @source Analyzing Sensory Data with R \url{www.sensorywithr.org}
"perfume_qda_consumers"

#' Perfume QDA Experts
#'
#' This dataset containing information about 12 perfumes that evaluated by 12 expert panelists using predefined lexicons
#'
#' \describe{
#'   \item{panelist}{panelists' id}
#'   \item{product}{perfumes}
#'   \item{session}{code of sensory evalutation session}
#'   \item{rank}{presentation order}
#'   \item{spicy-wrapping}{lexicons regarding perfume}
#' }
#'
#' @source Analyzing Sensory Data with R \url{www.sensorywithr.org}
"perfume_qda_experts"

#' Sensory data for 6 chocolates
#'
#' The data used here refer to the sensory description of six varieties of chocolates sold in France: each chocolate was evaluated twice by 29 panelists according to 14 sensory descriptors.
#'
#' \describe{
#'   \item{panelist}{panelists' id}
#'   \item{session}{code of sensory evalutation session}
#'   \item{rank}{presentation order}
#'   \item{product}{chocolates}
#'   \item{cocoa_a - granular}{lexicons regarding chocolate}
#' }
#'
#' @source SensoMineR package
"sensochoc"