(This article was first published on

**Nicebread » R**, and kindly contributed to R-bloggers)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 his blog:**Nicebread » 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...