Significance Test for Kendall’s Tau-b

April 15, 2012

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

A variation of the standard definition of Kendall correlation coefficient is necessary in
order to deal with data samples with tied ranks. It known as the Kendall’s tau-b
coefficient and is more effective in determining whether two non-parametric data samples with ties are correlated.

read more

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

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)