Simple visually-weighted regression plots

September 24, 2012

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

There has recently been a lot of discussion of so-called “visually-weighted regression” plots.

Folk hero Hadley Wickham suggests that such plots would be easy to implement with ggplot2, and so I have attempted to prove him right.

The approach outlined in the following Gist would be easy to apply to any situation in which you have a matrix of replicated predictions or bootstrapped fits from a model — any such a matrix would just take the place of the simYhats object.

The end-product of this example

To leave a comment for the author, please follow the link and comment on their blog: is.R(). offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, 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.

Search R-bloggers


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)