cereal.R

In friendly/candisc: Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis

#' @name cereal
#' @aliases cereal
#' @docType data
#' @title
#' %%   ~~ data name/kind ... ~~
#'
#' @description
#' %%  ~~ A concise (1-5 lines) description of the dataset. ~~
#'
#' @usage data("cereal")
#' @format
#'  A data frame with 77 observations on the following 16 variables.
#'  \describe{
#'    \item{\code{name}}{character, a character vector}
#'    \item{\code{mfr}}{character, a character vector}
#'    \item{\code{type}}{character, a character vector}
#'    \item{\code{calories}}{numeric, a numeric vector}
#'    \item{\code{protein}}{numeric, a numeric vector}
#'    \item{\code{fat}}{numeric, a numeric vector}
#'    \item{\code{sodium}}{numeric, a numeric vector}
#'    \item{\code{fiber}}{numeric, a numeric vector}
#'    \item{\code{carbo}}{numeric, a numeric vector}
#'    \item{\code{sugars}}{numeric, a numeric vector}
#'    \item{\code{potass}}{numeric, a numeric vector}
#'    \item{\code{vitamins}}{numeric, a numeric vector}
#'    \item{\code{shelf}}{numeric, a numeric vector}
#'    \item{\code{weight}}{numeric, a numeric vector}
#'    \item{\code{cups}}{numeric, a numeric vector}
#'    \item{\code{rating}}{numeric, a numeric vector}
#'  }
#'
#' @details 
#' %%  ~~ If necessary, more details than the __description__ above ~~
#' @source 
#' %%  ~~ reference to a publication or URL from which the data were obtained ~~
#' @references
#' %%  ~~ possibly secondary sources and usages ~~
#'
#' @concept %% non-keyword concepts, one per line
#' @examples
#' data(cereal)
#' ## maybe str(cereal) ; plot(cereal) ...
#'
#' @keywords datasets
NULL