Le Monde rank test (corr’d)

April 6, 2010

(This article was first published on Xi'an's Og » R, and kindly contributed to R-bloggers)

Since my first representation of the rank statistic as paired was incorrect, here is the histogram produced by the simulation


when n=20. It is obviously much closer to zero than previously.

An interesting change is that the regression of the log-mean on log(n) produces

> lm(log(memean)~log(enn))
lm(formula = log(memean) ~ log(enn))
(Intercept)     log(enn)
 -1.162        1.499

meaning that the mean is in n^{3/2} rather than in n or n^2:

> summary(lm(memean~eth-1))
      Estimate Std. Error t value Pr(>|t|)
eth 0.3117990  0.0002719    1147   <2e-16 ***

with a very good fit.

Filed under: R, Statistics Tagged: Le Monde, puzzle, R, Spearman rank test

To leave a comment for the author, please follow the link and comment on their blog: Xi'an's Og » R.

R-bloggers.com 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)