#' Dataset with one IAT and two SC-IATs
#'
#' A dataset containing the data from 152 participants who completed
#' one IAT and two SC-IATs. The object of both the implicit measures
#' was chocolate, either Milk or Dark chocolate:
#'
#' @docType data
#' @keywords datasets
#' @name raw_data
#' @usage data(raw_data)
#' @format A dataframe with 6 variables, as follows:
#' \itemize{
#' \item Participant. Participants ID.
#' \item latency. Latency of the response times in millisecond.
#' \item correct. Response accuracy (0--correct, 1--error).
#' \item trialcode. Factor with 32 levels identifying the trial for each
#' response, both for the implicit measures and the demographic
#' questionnaire. It contains also the trials that have to be
#' eliminated, defined as follows:
#' \itemize{
#' \item alert. Defines the SC-IAT trials beyond the response time
#' window.
#' \item Reminder, Reminder1. Identify the instruction page.
#' }
#' \item blockcode. Factor with 13 levels as follow:
#' \itemize{
#' \item practice.iat.Milkbad. IAT practice blocks,
#' Mapping A.
#' \item practice.iat.Milkbad. IAT practice blocks,
#' Mapping B.
#' \item practice.sc_dark.Darkbad. Dark SC-IAT practice
#' blocks, Mapping A.
#' \item practice.sc_dark.Darkbad. Dark SC-IAT practice
#' blocks, Mapping B.
#' \item practice.sc_milk.Milkbad. Milk SC-IAT practice
#' blocks, Mapping A.
#' \item practice.sc_milk.Milkgood. Milk SC-IAT practice
#' blocks, Mapping B.
#' \item test.iat.Milkbad. IAT test blocks, Mapping A.
#' \item test.iat.Milkgood. IAT test blocks, Mapping B.
#' \item test.sc_dark.Darkbad. Dark SC_IAT test blocks,
#' Mapping A.
#' \item test.sc_dark.Darkbad. Dark SC-IAT test blocks,
#' Mapping B.
#' \item test.sc_milk.Milkbad. Milk SC-IAT test blocks,
#' Mapping A.
#' \item test.sc_milk.Milkgood. Milk SC-IAT test blocks,
#' Mapping B.
#' \item demo. Demographic questionnaire.
#' }
#' \item response. Character registering the type of response for the
#' demographic .
#' }
"raw_data"
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