This short post is exactly what it seems: a showcase of all ggplot2 themes available within the ggplot2 package. I was doing such a list for myself (you know that feeling …”how would it look like with this theme? let’s try this one…”) and at the end I thought it could have be useful for my readers. At least this post will save you the time of trying all different themes just to have a sense of how they look like.
Enjoy!

theme_bw()

theme_classic()

theme_dark()

theme_get()

theme_gray()

theme_grey()

theme_light()

theme_linedraw()

theme_minimal()

Bonus Track: The Code

Since copy and pasting and right-clicking 9 times to produce all the plots was definitely not acceptable, I wrote a small function to dynamically create and save a png file with different name and content.

library(dplyr) #data manipulation
library(ggplot2) #data visualization

create_file <- function(name){
  path % file.path() %>% png(,width=960,height=480)
}

#this is the template: change the theme (and the name argument) to produce the other plots
create_file(name = "theme_bw")
ggplot(data=diamonds, aes(carat,price ))+
  geom_point(aes(colour= color))+
  theme_bw()
dev.off()

Final notes

Inner ggplot2 structure allows for a nearly infinite number of customizations and extensions.You can have a sense of what I am talking about looking at ggplot2 extensions website or to the ggthemes package vignette by the package author Jeffrey B. Arnold.

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