R/finalized_stroopdata.R

In ayalaallon/prepdat: Preparing Experimental Data for Statistical Analysis

#' 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"