Hi Doug, An interesting site I stumbled on long ago related to your intial question of data download is at
http://www.mratings.com/cf/compare.htm which also contains a CSV file version at http://www.mratings.com/cf/compare.csv of *64* different ranking systems. Other pages within the site discuss analyses including correlation and summaries like mean and median. Hope that helps. Bill On Tue, Sep 29, 2009 at 13:55, Douglas Bates <ba...@stat.wisc.edu> wrote: > On Tue, Sep 29, 2009 at 7:56 AM, Douglas Bates <ba...@stat.wisc.edu> wrote: >> An interesting, and topical, example of multivariate data for >> classroom illustrations are the American college football rankings. >> Starting at the end of October (or "week 8", the 8th week of the >> football season) a set of rankings called the BCS (Bowl Championship >> Series) will be published. This is a composite ranking based on two >> subjective polls, the Harris and USA Today polls, and a trimmed mean >> of 6 objective scores, the so-called computer rankings. The Harris >> and USA Today polls are currently available along with several others >> (the best known and most often quoted is the AP poll but, for >> complicated reasons, it was replaced in the BCS rankings by the Harris >> poll). >> >> I enjoy using these as classroom examples but I haven't found a web >> site from which I can download the data directly and am reduced to >> "screen scraping" the HTML from popular sites like ESPN. Does anyone >> know of a site from which one can download the current poll results? > > To follow up on my own posting, these data are interesting in part > because they are presented as tables in many, many places and almost > never presented graphically. Some graphical analysis from the > rankings on October 21, 2007 is shown in > > http://www.stat.wisc.edu/~bates/BCS-2007-10-21.pdf > > It's not often that an example that many students find interesting can > be used to illustrate trimmed means, various correlation measures, > scatterplot matrices, parallel coordinate plots, principal components > and biplots. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
