R/geom-miss-point.R

In naniar: Data Structures, Summaries, and Visualisations for Missing Data

#' Plot Missing Data Points
#'
#' @description `geom_miss_point` provides a way to transform and plot missing
#'   values in ggplot2. To do so it uses methods from ggobi to display missing
#'   data points 10\% below the minimum value, so that the values can be seen on
#'   the same axis.
#'
#' @include legend-draw.R
#' @name  geom_miss_point
#' @title  geom_miss_point
#' @note Warning message if na.rm = T is supplied.
#'
#' @seealso [gg_miss_case()][gg_miss_case_cumsum()][gg_miss_fct()][gg_miss_span()][gg_miss_var()][gg_miss_var_cumsum()][gg_miss_which()]
#'
#' @param mapping Set of aesthetic mappings created by [ggplot2::aes()]
#' or [ggplot2::aes_()]. If specified and `inherit.aes = TRUE`
#' (the default), is combined with the default mapping at the top level of the
#' plot. You only need to supply mapping if there isn't a mapping defined for
#' the plot.
#'
#' @param data A data frame. If specified, overrides the default data frame
#' defined at the top level of the plot.
#'
#' @param prop_below the degree to shift the values. The default is 0.1
#'
#' @param jitter the amount of jitter to add. The default is 0.05
#'
#' @param stat The statistical transformation to use on the data for this layer, as a string.
#'
#' @param position Position adjustment, either as a string, or the result of a
#' call to a position adjustment function.
#'
#' @param na.rm If `FALSE` (the default), removes missing values with a
#' warning. If `TRUE` silently removes missing values.
#'
#' @param show.legend logical. Should this layer be included in the legends?
#' `NA`, the default, includes if any aesthetics are mapped. `FALSE`
#' never includes, and `TRUE` always includes.
#'
#' @param inherit.aes If `FALSE`, overrides the default aesthetics, rather
#' than combining with them. This is most useful for helper functions that
#' define both data and aesthetics and shouldn't inherit behaviour from the
#' default plot specification, e.g. borders.
#'
#' @param ... other arguments passed on to [ggplot2::layer()]. There
#' are three types of arguments you can use here:
#' \itemize{
#'  \item{Aesthetics: to set an aesthetic to a fixed value, like
#'  `color = "red"` or `size = 3.`}
#'  \item{Other arguments to the layer, for example you override the default
#'  `stat` associated with the layer.}
#'  \item{Other arguments passed on to the stat.}
#' }
#'
#' @param colour the colour chosen for the aesthetic
#'
#' @examples
#' \dontrun{
#' library(ggplot2)
#'
#' # using regular geom_point()
#' ggplot(airquality,
#'        aes(x = Ozone,
#'            y = Solar.R)) +
#' geom_point()
#'
#' # using  geom_miss_point()
#' ggplot(airquality,
#'        aes(x = Ozone,
#'            y = Solar.R)) +
#'  geom_miss_point()
#'
#'  # using facets
#'
#' ggplot(airquality,
#'        aes(x = Ozone,
#'            y = Solar.R)) +
#'  geom_miss_point() +
#'  facet_wrap(~Month)
#'}
#' @export
 geom_miss_point <- function(mapping = NULL,
                             data = NULL,
                             prop_below = 0.1,
                             jitter = 0.05,
                             stat = "miss_point",
                             position = "identity",
                             colour = ..missing..,
                             na.rm = FALSE,
                             show.legend = NA,
                             inherit.aes = TRUE,
                             ...) {
  layer(
    data = data,
    mapping = mapping,
    stat = stat,
    geom = GeomMissPoint,
    position = position,
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(
      prop_below = prop_below,
      jitter = jitter,
      na.rm = na.rm,
      ...
    )
  )

}

#' @rdname naniar-ggproto
#' @format NULL
#' @usage NULL
#' @export
GeomMissPoint <- ggproto(
  "GeomMissPoint",
  GeomPoint,
  required_aes = c("x", "y"),
  default_aes = aes(shape = 19,
                    colour = "black",
                    size = 1.5,
                    fill = NA,
                    alpha = NA,
                    stroke = 0.5),
  draw_key = draw_key_missing_point,
  handle_na = function(self, data, params) data,
  draw_panel = function(data,
                        panel_scales,
                        coord){
    coords <- coord$transform(data, panel_scales)
    grid::pointsGrob(
      coords$x,
      coords$y,
      pch = coords$shape,
      gp = grid::gpar(
        col = alpha(coords$colour, coords$alpha),
        fill = alpha(coords$fill, coords$alpha),
        # Stroke is added around the outside of the point
        fontsize = coords$size * .pt + coords$stroke * .stroke / 2,
        lwd = coords$stroke * .stroke / 2
        )
    )
    }
)