Some sources of data for teaching practice that I like (you will need to
look through and decide which are best for you) include (in no particular
order):

OpenIntro textbook site has sample data:
http://www.openintro.org/stat/supplements.php

The Data and Story library: http://lib.stat.cmu.edu/DASL/

The NHANES public data: http://www.cdc.gov/nchs/data_access/ftp_data.htm

This blog post has a bunch:
http://www.inside-r.org/howto/finding-data-internet

Gapminder data: http://www.gapminder.org/data/

This website has some links: http://www.statsci.org/datasets.html

The textbook Small datasets by Hand

JSE data: http://www.amstat.org/publications/jse/jse_data_archive.htm

In R if you run the command: data(package = .packages(all.available = TRUE))
it will show all the sample datasets in the packages that you have
installed along with a brief description, some of the packages that I like
the data from (so install them before running the above to get the
list/description, there are plenty of others as well) include:
TeachingDemos (I may be biased on that one), AER, boot, car, cluster, coin,
DAAG, Epi, ggplot2, HH, HSAUR, ISwR, MASS, mosaic, nlme, and any other
packages of interest.




On Tue, Jan 29, 2013 at 1:38 PM, Allen Cornelius
<allencornelius@gmail.com>wrote:

> Knowledgable group,
>
> I am in the process of designing an advanced statistics class for doctoral
> level clinical psychology students. Their background in basic statistical
> concepts is OK, but they have little exposure to statistical software. I am
> looking for pre existing data sets that they can explore fairly easily,
> probably using R and R Commander (though some coding would be OK), to
> illustrate some multivariate analyses (e.g., advanced regression, MANOVA,
> factor analysis). I don't expect proficiency with the software, but enough
> exposure to the output of results of analyses to understand what things
> mean. I am looking for multiple examples of the same analyses, so they get
> exposure and practice with lots of stuff.
>
> Any suggestions for data sets included in packages or other good sources
> of sample multivariate data sets?
>
> Thanks. This list is always informative.
>
> Allen
>
> _______________________________________________
> R-sig-teaching@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
>



-- 
Gregory (Greg) L. Snow Ph.D.
538280@gmail.com

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