Skip to content
Prev 545 / 885 Next

Handbook of Small Datasets

Hi:

As promised, I have rolled up a few versions of the files in HDLMO and
put them in my Dropbox.

(1) Zipped csv form:
https://dl.dropbox.com/u/57587928/csv.zip

(2) Individual R binary objects in zip form:
https://dl.dropbox.com/u/57587928/Rdata.zip

(3) All of the R objects in one .Rdata file:
https://dl.dropbox.com/u/57587928/hdlmo.Rdata

Should you choose to access one or more of these archives, I
******strongly******* encourage you to read the index.txt and
README.txt files that come with the zipped archives. I took more than
a few liberties with renaming R objects relative to the names of the
original datasets (originally, this was meant for my own use), and
many data sets contain more than one R object (and hence more than one
corresponding .Rdata or .csv file). The file index.txt provides the
roadmap that connects the numbers and descriptions of the original
data sets to the names of the corresponding R objects, their
class/type and the name of the csv file to which the R object was
written. The README file explains a few things about the contents of
the archive and the process by which it was generated.

The R versions are, of course, for R aficionados (after all, this is
R-sig-teaching :), while the csv versions are for more general
applications.

The R binary (3) contains neither index.txt nor README.txt, so grab
one of the zip archives to access these files.

I hope you find these useful in some aspect of your work.
Dennis
On Thu, Jan 31, 2013 at 1:58 AM, Dennis Murphy <djmuser at gmail.com> wrote:
Message-ID: <CADv2QyHcpaONnd9kdLKxcDf+CJnxXsGhqs63deUidgpKWi=dWQ@mail.gmail.com>
In-Reply-To: <CADv2QyGSqGVrJSET-Qah2AdagLWiOpy3h5=r_OWKeSPu-Ft6_A@mail.gmail.com>