Web-friendly visualizations in R

[This article was first published on Statistical Modeling, Causal Inference, and Social Science » R, 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.

Aleks points me to this new tool from Wojciech Gryc. Right now I save my graphs as pdfs or pngs and then upload them to put them on the web. I expect I’ll still be doing this for awhile—I like having full control of what my graphs look like—but Gryc’s default plots might be useful for lots of people making their analyses more accessible.

Here’s an example:

x = rnorm(30) y = rnorm(30) wv.plot(x, y, "~/Desktop/scatterplot", height=300, width=300, xlim=c(-2.5,2.5), ylim=c(-2.5,2.5), xbreaks=c(0), ybreaks=c(0))

 


The post Web-friendly visualizations in R appeared first on Statistical Modeling, Causal Inference, and Social Science.

To leave a comment for the author, please follow the link and comment on their blog: Statistical Modeling, Causal Inference, and Social Science » R.

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.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)