R/ArticleExample3.R

In ANOPA: Analyses of Proportions using Anscombe Transform

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#' @title ArticleExample3
#'
#' @name ArticleExample3
#'
#' @description These are the data from the third example reported in 
#'    \insertCite{lc23}{ANOPA}. It shows fictitious data with regards to 
#'    the proportion of patients suffering delirium tremens as a function 
#'    of the drug administered (cBau, eaPoe, R&V, Placebo).
#'    The design is a within-subject design with 4 measurements (order of 
#'    administration randomized).
#'
#' @md
#'
#' @docType data
#'
#' @format An object of class data.frame.
#'
#' @keywords datasets
#'
#' @references 
#' \insertAllCited{}
#'
#' @source \doi{10.20982/tqmp.19.2.p173}
#'
#' @examples
#' library(ANOPA)
#'
#' # the ArticleExample3 data shows an effect of the drug administered on the 
#' # proportion of participants who had an episode of delirium tremens 
#' ArticleExample3
#' 
#' # perform an anopa on this dataset
#' w <- anopa( cbind(cBau,eaPoe,RnV,Placebo) ~ ., ArticleExample3, WSFactors = "Drug(4)")
#' 
#' # We finish with post-hoc Tukey test
#' e <- posthocProportions( w )
#' 
#' # a small plot is *always* a good idea
#' anopaPlot(w)
#' 
#' 
"ArticleExample3"