Display custom image as geom_point [duplicate]

Question

Is it possible to display custom image (say png format) as geom_point in R ggplot?

library(png)
pic1 <- readPNG("pic1.png")

png("Heatmap.png", units="px", width=3200, height=3200, res=300)
ggplot(data_frame, aes(medium, day, fill = Transactions))  +
   geom_tile(colour="white")  +
   facet_grid(dime3_year~dime3_month) + 
   scale_fill_gradient(high="blue",low="white") +
   theme_bw() + 
   geom_point(aes(dime3_channel, day, size=Conv,alpha=Conv,image=(annotation_raster(pic1,xmin=0,ymin=0,xmax=5,ymax=5)),color="firebrick")) +

Gives error:

Don't know how to automatically pick scale for object of type proto/environment. Defaulting to continuous Error: Aesthetics must either be length one, or the same length as the dataProblems:(annotation_raster(conv_pic, xmin = 0, ymin = 0, xmax = 5, ymax = 5))

Disorder

I would start with the grImport package. Some grid tinkering may be required. – Hayrick

See also grImport2, e.g. first example here, or Fig 11 with lattice here. Nice article on grImport here (see e.g. fig 8, also with lattice). – Kordofan

see also #36133874 – Uzial

and https://mcmap.net/q/324934/-how-to-use-an-image-as-a-point-in-ggplot – Uzial

Answer 1

The point geom is used to create scatterplots, and doesn't quite seem to be designed to do what you need, ie, display custom images. However, a similar question was answered here, which indicates that the problem can be solved in the following steps:

(1) Read the custom images you want to display,

(2) Render raster objects at the given location, size, and orientation using the rasterGrob() function,

(3) Use a plotting function such as qplot(),

(4) Use a geom such as annotation_custom() for use as static annotations specifying the crude adjustments for x and y limits as mentioned by user20650.

Using the code below, I could get two custom images img1.png and img2.png positioned at the given xmin, xmax, ymin, and ymax.

library(png)
library(ggplot2)
library(gridGraphics)
setwd("c:/MyFolder/")

img1 <- readPNG("img1.png")
img2 <- readPNG("img2.png")
g1 <- rasterGrob(img1, interpolate=FALSE)
g2 <- rasterGrob(img2, interpolate=FALSE)
qplot(1:10, 1:10, geom="blank") + 
  annotation_custom(g1, xmin=1, xmax=3, ymin=1, ymax=3) +
  annotation_custom(g2, xmin=7, xmax=9, ymin=7, ymax=9) +  
  geom_point()

Scuba

A picture of the result would have been great – Kermis

Answer 2

DL Miller provided another solution using ggproto().https://github.com/dill/emoGG

library(ggplot2)
library(grid)
library(EBImage)
img <- readImage(system.file("img", "Rlogo.png", package = "png"))
RlogoGrob <- function(x, y, size, img) {
    rasterGrob(x = x, y = y, image = img, default.units = "native", height = size, 
        width = size)
}

GeomRlogo <- ggproto("GeomRlogo", Geom, draw_panel = function(data, panel_scales, 
    coord, img, na.rm = FALSE) {
    coords <- coord$transform(data, panel_scales)
    ggplot2:::ggname("geom_Rlogo", RlogoGrob(coords$x, coords$y, coords$size, 
        img))
}, non_missing_aes = c("Rlogo", "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(.) {
    })

geom_Rlogo <- 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 = GeomRlogo, 
        position = position, show.legend = show.legend, inherit.aes = inherit.aes, 
        params = list(na.rm = na.rm, img = img, ...))
}
ggplot(mtcars, aes(wt, mpg))+geom_Rlogo()

Caespitose