#' Finalized Table \code{prepdat::prep()} returns for \code{stroopdata} According to the
#' Example in \code{prepdat::prep()}.
#'
#' A data frame containing dependent measures \code{prep} for each \code{id}
#' calculated according to grouping variables: block and target_type.
#' \code{prep()} aggregates the columns for the dependent measures by first
#' dividing them to the levels of the first independent variable in
#' \code{wthin vars}, and then within each level \code{prep()} divides the columns
#' according to the next variable in \code{within_vars} and so forth.
#' Thus, for each dependent measure in this example there are four columns
#' according to the order they where entered in \code{within_vars} argument in
#' \code{prep}. For this data frame this argument was
#' \code{within_vars = c("block", "target_type")}.
#'
#' The complete list of names of the dependent measures is:
#'
#' \code{mdvc}: mean \code{dvc}.
#'
#' \code{sdvc}: SD for \code{dvc}.
#'
#' \code{meddvc}: median \code{dvc}.
#'
#' \code{tdvc}: mean \code{dvc} after rejecting observations above
#' standard deviation criteria specified in \code{sd_criterion}.
#'
#' \code{ntr}: number of observations rejected for each standard deviation
#' criterion specified in \code{sd_criterion}.
#'
#' \code{ndvc}: number of observations before rejection.
#'
#' \code{ptr}: proportion of observations rejected for each standard
#' deviation criterion specified in \code{sd_criterion}.
#'
#' \code{rminv}: harmonic mean of \code{dvc}.
#'
#' \code{prt}: \code{dvc} according to each of the percentiles specified
#' in \code{percentiles}.
#'
#' \code{mdvd}: mean \code{dvd}.
#'
#' \code{merr}: mean error.
#'
#' \code{nrmc}: mean \code{dvc} according to non-recursive procedure with
#' moving criterion.
#'
#' \code{nnrmc}: number of observations rejected for \code{dvc} according
#' to non-recursive procedure with moving criterion.
#'
#' \code{pnrmc}: percent of observations rejected for \code{dvc} according
#' to non-recursive procedure with moving criterion.
#'
#' \code{tnrmc}: total number of observations upon which the non-recursive
#' procedure with moving criterion was applied.
#'
#' \code{mrmc}: mean \code{dvc} according to modified-recursive procedure
#' with moving criterion.
#'
#' \code{nmrmc}: number of observations rejected for \code{dvc} according
#' to modified-recursive procedure with moving criterion.
#'
#' \code{pmrmc}: percent of observations rejected for \code{dvc} according
#' to modified-recursive procedure with moving criterion.
#'
#' \code{tmrmc}: total number of observations upon which the
#' modified-recursive procedure with moving criterion was applied.
#'
#' \code{hrmc}: mean \code{dvc} according to hybrid-recursive procedure
#' with moving criterion.
#'
#' \code{nhrmc}: number of observations rejected for \code{dvc} according
#' to hybrid-recursive procedure with moving criterion.
#'
#' \code{thrmc}: total number of observations upon which the
#' hybrid-recursive procedure with moving criterion was applied.
#'
#' @usage data(finalized_stroopdata)
#'
#' @format A data frame with 15 rows and 98 columns.
#'
#' @examples data(finalized_stroopdata)
#' head(finalized_stroopdata)
"finalized_stroopdata"
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.