(This article was first published on R on Guangchuang YU, and kindly contributed to R-bloggers)
ggimage 0.1.4 is available on CRAN.
This release introduces a new function called ggbackground
for setting image background as ggplot
canvas.
require(ggplot2)p <- ggplot(iris) + aes(x = Sepal.Length, y = Sepal.Width, color=Species) + geom_point(size=5) + theme_classic()
Suppose we have the above ggplot
object, p
, the only thing we need to do is passing the p
with an image file name (local or remote) to ggbackground
, as demonstrated below:
require(ggimage) img = "https://assets.bakker.com/ProductPics/560x676/10028-00-BAKI_20170109094316.jpg"ggbackground(p, img)
This image file is too colorful and it is hard to see the patterns of the data points. We can manipulate the image using the functions provided by magick
package. For example, the following function emulate a classic high-pass filter from photoshop:
require(magick)ggbackground(p, img, image_fun = function(x) image_negate(image_convolve(x, 'DoG:0,0,2')))
Here are examples of setting transparency and color:
img = "http://phylopic.org/assets/images/submissions/bf5fe2c5-1247-4ed9-93e2-d5af255ec462.512.png"p1 = ggbackground(p, img) + ggtitle("ggbackground(p, img)")p2 = ggbackground(p, img, alpha=.3) + ggtitle("ggbackground(p, img, alpha=.3)")p3 = ggbackground(p, img, alpha=.3, color="steelblue") + ggtitle('ggbackground(p, img, alpha=.3, color="steelblue")')cowplot::plot_grid(p1, p2, p3, ncol=3)
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