#' Add images to plot
#'
#' Work like geom_point with points replaced by a predefined image
#'
#' @param mapping Set of aesthetic mappings created by [aes()] or
#' [aes_()]. If specified and `inherit.aes = TRUE` (the
#' default), it is combined with the default mapping at the top level of the
#' plot. You must supply `mapping` if there is no plot mapping.
#' @param data The data to be displayed in this layer. There are three
#' options:
#'
#' If `NULL`, the default, the data is inherited from the plot
#' data as specified in the call to [ggplot()].
#'
#' A `data.frame`, or other object, will override the plot
#' data. All objects will be fortified to produce a data frame. See
#' [fortify()] for which variables will be created.
#'
#' A `function` will be called with a single argument,
#' the plot data. The return value must be a `data.frame`, and
#' will be used as the layer data.
#' @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, missing values are removed with
#' a warning. If `TRUE`, missing values are silently removed.
#' @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.
#' It can also be a named logical vector to finely select the aesthetics to
#' display.
#' @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 [layer()]. These are
#' often aesthetics, used to set an aesthetic to a fixed value, like
#' `colour = "red"` or `size = 3`. They may also be parameters
#' to the paired geom/stat.
#' @export
#' @importFrom ggplot2 layer
#' @examples
#' library(ggplot2)
#' p <- system.file("extdata", "images.jpg", package = "ggfun")
#' img <- magick::image_read(p)
#' ggplot() + geom_image(data = mtcars, mapping = aes(x = wt, y = mpg), img = img, size =0.05)
#'
geom_image <- function(mapping = NULL, data = NULL, stat = "identity",
position = "identity", na.rm = FALSE, show.legend = NA, inherit.aes = TRUE,
...) {
layer(data = data, mapping = mapping,
stat = stat, geom = GeomImage,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(na.rm = na.rm, ...))
}
#' @format NULL
#' @usage NULL
#' @importFrom ggplot2 ggproto
#' @importFrom magick image_read
#' @importFrom grid rasterGrob
#' @format NULL
#' @usage NULL
#' @import ggplot2
#' @import grid
#' @importFrom utils getFromNamespace
GeomImage <- ggproto("GeomImage", Geom,
draw_panel = function(data, panel_scales,
coord, img, size, na.rm = FALSE) {
ImageGrob <-function(x, y, size, img) {
rasterGrob(x = x, y = y, image = img, default.units = "native", height = size, width = size)
}
coords <- coord$transform(data, panel_scales)
ggname = getFromNamespace("ggname", "ggplot2")
ggname("geom_image", ImageGrob(coords$x, coords$y, coords$size,
img))
},
non_missing_aes = c("image", "size"),
required_aes = c("x", "y"),
default_aes = aes(size = 0.05),
icon = function(.) {
},
desc_params = list(),
seealso = list(geom_point = GeomPoint$desc),
examples = function(.) {
}
)
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