Wilcox’s Robust Statistics: A new R package

April 12, 2011
By

[This article was first published on Nicebread » 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.

Recently I started to build a new package for R containing Wilcox’ collection of functions for robust statistics.

Wilcox provides 700+ functions for robust statistics, including:

  • robust correlations (e.g. percentage bend correlation)
  • robust measures of location and mean differences (e.g. Yuen’s test, trimmed mean test with bootstrapping)
  • bootstrapping routines for many indices. Using bootstrapping, asymmetric and non-parametric confidence intervals can be calculated
  •  etc …

I’ve simply put Wilcox’ functions into a package, so that the environment isn’t cluttered with 700+ functions. I also started to add some help functions (but until now there are really few).

The package is hosted on R-Forge. You can install the package directly in R by typing:

install.packages("WRS", repos="http://R-Forge.R-project.org")

To leave a comment for the author, please follow the link and comment on their blog: Nicebread » 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.



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

Sponsors

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)