R/data.R

#' Assessment data
#'
#' #@source
#'
#' @name data_assessment
#'
#'
#' @format Data is given as a list with the following components:
#' \describe{
#'  \item{log_concentration_ss_data}{}
#'  \item{log_consumption_ss_data}{}
#'  \item{consumers_info_sample_size}{A list of length 7. For each chocolate product: sugar panned chocolate,
#'  milk chocolate, chocolate icing, chocolate with fillings, dark chocolate, cocoa powder, beverage powder,
#'  it has the following:
#'  \describe{
#'       \item{non_consumer_sample_size}{Sample size of non consumers}
#'       \item{consumer_sample_size}{Sample size of consumers}
#'  }
#'  }
#'
#'  \item{change_cons}{A dataframe concerning EKE. It has 4 columns:
#'    \describe{
#'       \item{probs}{Probabilities}
#'       \item{vals}{Elicited values from experts}
#'       \item{vals_lower}{Lower bound of elicited values from experts}
#'       \item{vals_upper}{Upper bound of elicited values from experts}
#'    }
#'                    }
#'}
#'
#'@export
#'
"data_assessment"
# #'
#' @examples
#' \dontrun{
#'  data_assessment
#' }
# "data_assessment"
Iraices/PrecisePvsBoundedP documentation built on Jan. 18, 2021, 11:32 p.m.