R/bdata.R

In michaelkardas/behavioralwrappers: Wrappers and other functions for the behavioral sciences

#' Sample data
#'
#' A sample data set containing three independent variables and several discrete,
#' continuous, and categorical dependent variables.
#'
#' @format A data frame with 300 rows and 16 variables:
#' \describe{
#'   \item{IV1}{The first independent variable, equal to \code{Friend} or \code{Stranger}}
#'   \item{IV2}{The second independent variable, equal to \code{PhotoA}, \code{PhotoB}, or \code{PhotoC}}
#'   \item{IV3}{The third independent variable, equal to \code{Negative} or \code{Positive}}
#'   \item{DV1}{A discrete dependent variable, ranging from 0 to 10}
#'   \item{DV2}{A discrete dependent variable, ranging from 0 to 10}
#'   \item{DV3}{A discrete dependent variable, ranging from 0 to 10}
#'   \item{DV4}{A discrete dependent variable, ranging from 0 to 10}
#'   \item{DV5}{A discrete dependent variable, ranging from 0 to 10}
#'   \item{DV6_T1}{A discrete dependent variable, ranging from 0 to 10, measured at Time 1}
#'   \item{DV7_T1}{A discrete dependent variable, ranging from 0 to 10, measured at Time 1}
#'   \item{DV6_T2}{A discrete dependent variable, ranging from 0 to 10, measured at Time 2}
#'   \item{DV7_T2}{A discrete dependent variable, ranging from 0 to 10, measured at Time 2}
#'   \item{DV8}{A continuous dependent variable, ranging from 0 to 10}
#'   \item{DV9}{A categorical dependent variable, equal to \code{Yes} or \code{No}}
#' }
#'
#' @source The sample data were created using a random number generator
"bdata"