Add to the list now the 2013 data expo ( http://streaming.stat.iastate.edu/dataexpo/2013/). It looks like there could be a lot of interesting examples and exploration from this data.
On Tue, Jan 29, 2013 at 3:30 PM, Greg Snow <[email protected]> wrote: > 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 <[email protected] > > 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 >> >> _______________________________________________ >> [email protected] mailing list >> https://stat.ethz.ch/mailman/listinfo/r-sig-teaching >> > > > > -- > Gregory (Greg) L. Snow Ph.D. > [email protected] > -- Gregory (Greg) L. Snow Ph.D. [email protected] [[alternative HTML version deleted]] _______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
