Background Images to the charts/plots created using ggplot/ggplot2 in R Server

Surya · December 1, 2018, 11:58am

Hi,

Need help in adding background image to the Charts/Plots created using ggplot in R Server to display in R Shiny.

mara · December 1, 2018, 1:39pm

Check out the ggbackground() function in ggimage:

Below is before I found ggbackground
You might take a look at the ggpomological package as an example to work from, since it uses a background image for the plot.

github.com

gadenbuie/ggpomological/blob/main/R/paint_pomological.R

#' Paint a ggpomological watercolor
#' 
#' Uses [magick] to paint a pomological watercolor. (Paints your plot onto a 
#' pomological watercolor style paper, with texture overlay.)
#' 
#' @references https://usdawatercolors.nal.usda.gov/pom
#' @seealso [theme_pomological]
#' @param pomo_gg A pomologically styled ggplot2 object. See [theme_pomological()]
#' @param width Width of output image in pixels
#' @param height Height of output image in pixels
#' @param pointsize Text size for plot text
#' @param outfile Optional name for output file if you'd like to save the image
#' @param pomological_background Paper image, defaults to paper texture provided
#'   by ggpomological.
#' @param pomological_overlay Overlay texture. Set to `NULL` for no texture.
#' @inheritDotParams magick::image_graph res clip antialias
#' @export
paint_pomological <- function(
  pomo_gg, 
  width = 800,

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You wouldn't actually use ggpomological, you'd likely use the packages it uses (e.g. magick), but it's nice to see someone else's approach.
https://cran.r-project.org/web/packages/magick/vignettes/intro.html

There's another approach described in this post, though I haven't worked with the packages it uses personally;
https://datascienceplus.com/how-to-add-a-background-image-to-ggplot2-graphs/

jcblum · December 1, 2018, 6:07pm

For the sake of completeness, cowplot can also layer images into ggplot2 plots. See the example at the end of this vignette:
https://cran.r-project.org/web/packages/cowplot/vignettes/introduction.html

system · December 22, 2018, 6:19pm

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