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#' @details The new facilities for cleanly defining new stats and geoms added to
#' package 'ggplot2' in version 2.0.0 gave origin to this package. I needed
#' tools to help me learn how layers work and to debug the extensions to
#' 'ggplot2' that I was developing. I share them through this package in the
#' hope that they will help other users of 'ggplot2' understand how this
#' this very popular graphics package works internally. The vignettes provide
#' examples of how to use these tools both for debugging and learning how
#' ggplots are stored.
#'
#' Extensions provided:
#' \itemize{
#' \item "Debug" stats and a "debug" geom that print to the console a summary
#' of their \code{data} input.
#' \item Functions for inspecting and manipulating the list of layers of a
#' ggplot object.
#' \item Functions for exploring and manipulating the data embedded in
#' ggplot objects, including dropping unused variables.
#' }
#'
#' @references
#' Package 'tidyverse' web site at \url{https://www.tidyverse.org/}\cr
#' Package 'ggplot2' documentation at \url{https://ggplot2.tidyverse.org/}\cr
#' Package 'ggplot2' source code at \url{https://github.com/tidyverse/ggplot2}
#'
#' @import ggplot2
#' @importFrom magrittr %>%
#' @importFrom rlang .data
#' @importFrom tibble as_tibble
#'
#' @examples
#' # echo to the R console \code{data} as received by geoms
#' ggplot(mtcars, aes(cyl, mpg, color = factor(cyl))) +
#' geom_point() +
#' geom_debug()
#'
#' # echo to the R console \code{data} as received by geoms
#' ggplot(mtcars, aes(cyl, mpg, colour = factor(cyl))) +
#' stat_summary(fun.data = "mean_se") +
#' stat_summary(fun.data = "mean_se", geom = "debug")
#'
#' # echo to the R console \code{data} received by \code{compute_panel()}
#' ggplot(mtcars, aes(cyl, mpg, color = factor(cyl))) +
#' geom_point() +
#' stat_debug_panel()
#'
#' # echo to the R console \code{data} received by \code{compute_group()}
#' ggplot(mtcars, aes(cyl, mpg, color = factor(cyl))) +
#' geom_point() +
#' stat_debug_group()
#'
"_PACKAGE"
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