R/bdata.R

In michaelkardas/bwrappers: Clean, analyze, and visualize data in the behavioral sciences

#' Sample data
#'
#' A sample data set containing three independent variables and several continuous,
#' categorical, and discrete dependent variables.
#'
#' @format A data frame with 300 rows and 14 variables:
#' \describe{
#'   \item{IV1}{The first independent variable (\code{Friend} or \code{Stranger})}
#'   \item{IV2}{The second independent variable (\code{PhotoA}, \code{PhotoB}, or \code{PhotoC})}
#'   \item{IV3}{The third independent variable (\code{Negative} or \code{Positive})}
#'   \item{DV1}{A continuous dependent variable, ranging from 0 to 10}
#'   \item{DV2}{A categorical dependent variable (\code{Yes} or \code{No})}
#'   \item{DV3_T1}{A discrete dependent variable, ranging from 0 to 10, measured at Time 1}
#'   \item{DV4_T1}{A discrete dependent variable, ranging from 0 to 10, measured at Time 1}
#'   \item{DV3_T2}{A discrete dependent variable, ranging from 0 to 10, measured at Time 2}
#'   \item{DV4_T2}{A discrete dependent variable, ranging from 0 to 10, measured at Time 2}
#'   \item{DV5}{A discrete dependent variable, ranging from 0 to 10}
#'   \item{DV6}{A discrete dependent variable, ranging from 0 to 10}
#'   \item{DV7}{A discrete dependent variable, ranging from 0 to 10}
#'   \item{DV8}{A discrete dependent variable, ranging from 0 to 10}
#'   \item{DV9}{A discrete dependent variable, ranging from 0 to 10}
#' }
#'
#' @source The sample data were created using a random number generator
"bdata"