SSAI Canberra Course: Modern Regression, Classification and
Multivariate Exploration -- November 6-7 or 7-8 2012
In Preparation for the Course
Participants will be expected to bring their own
laptops (PC or MacOS X or Linux), with a recent version of R
(preferably R-2.14.0 or later) already installed.
The web page
Course preparation has details of packages that
should be installed. Included also is a link to instructions that may be
helpful in setting up R under Windows, and links to further documents.
Please contact the tutor in case of difficulty.
Intending participants with limited previous experience of the
R system should as a minimum do the exercises noted under
Course preparation,
and work through chapters 1 and 2 (at least) of the tutorial notes
that are available from:
http://www.maths.anu.edu.au/~johnm/courses/r/notes/rnotes1-40.pdf
Slides that Give an Overview of R
These give an overview of the R language
Later slides describe some of R's statistical analysis abilities.
Statistical Learning and Data Mining - Introductory Notes and
Slides
These introduce ideas and themes that will feature in the
course, but from a perspective that connects more closely with the
data mining literature.
http://www.maths.anu.edu.au/~johnm/dmwkshp.html
Links
-
Web site for R (CRAN = Comprehensive R Archive Network)
-
John Maindonald's web site
-
email: john.maindonald AT anu.edu.au
Last updated: September 11 2012.