R/coffee_data.R

In ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs

#' @docType data
#' @title Sample dataset from a course about analysis of factorial designs
#' @name coffee_data
#' @keywords data
#'
#' @description A sample data set from a course about the analysis of factorial
#' designs, by Mattan S. Ben-Shachar. See following link for more information:
#' https://github.com/mattansb/Analysis-of-Factorial-Designs-foR-Psychologists
#'
#' The data consists of five variables from 120 observations:
#'
#' - `ID`: A unique identifier for each participant
#' - `sex`: The participant's sex
#' - `time`: The time of day the participant was tested (morning, noon, or afternoon)
#' - `coffee`: Group indicator, whether participant drank coffee or not
#'   ("`coffee"` or `"control"`).
#' - `alertness`: The participant's alertness score.
#'
#' @examples
#' # Attach coffee-data
#' data(coffee_data)
NULL