Congressional ideology by state

October 25, 2012
By

(This article was first published on is.R(), and kindly contributed to R-bloggers)

In a recent post, I illustrated how to add a background geom to your ggplot. While that code worked, and the plot looked fine, it was pointed out to me that I was missing an important aspect of plot layering with ggplot2. Namely, it is not, as I previously claimed, necessary to add extra NULL variables to the background data.frame.

Fortunately, I was put on the right path by the inimitable Hadley Wickham, who pointed out that There is, of course, a Function for That: mutate()

This Gist correctly builds a layered plot, shows how mutate() works, and plots DW-NOMINATE House ideology in two-dimensions, by state, with an illustration of what I consider a very useful visualization technique — adding a reference distribution to each plot facet.

To leave a comment for the author, please follow the link and comment on his blog: is.R().

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: , , , ,

Comments are closed.