[This article was first published on Computing / Geek, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
I recently wanted to create a ggplot that I could then ‘tweak’ furthur. This is my solution, to create an .svg file which can be loaded into a suitable application (I prefer Inkscape) and furthur edited / tweaked.
# Build an example Plot
library(ggplot2)
dataframe <- data.frame(fac = factor(c(1:4)), data1 = rnorm(400, 100, sd = 15))
dataframe$data2 <- dataframe$data1 * c(0.25, 0.5, 0.75, 1)
testplot <- qplot(x = fac, y = data2, data = dataframe, colour = fac, geom = c("boxplot",
"jitter"))
testplot
To leave a comment for the author, please follow the link and comment on their blog: Computing / Geek.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.