Workshop on Using R for Regression - Preparation
Participants will be expected to bring their own laptops (PC or MacOS
X or Linux), with a recent version of R (preferably R-2.15.0 or more
recent) already installed.
Note that administrator privileges are not required for installation
of R. In the absence of administrator privileges, R will be installed
into a user directory.
Additionally, a number of R packages should be installed.
For details of R Packages that should be
installed, click here
users: Click here to obtain R
- Other systems, click here to look for a binary for your system (MacOS X, some flavours of Linux).
In preparation for the Course - Getting Familiar with R
Intending participants with limited previous experience with R, or
with no previous experience of R. should do some modest amount of
Copy down the R binary, install it on your machine, start up R, and
What should I type?
|This may suggest some other possibilities!
|> nn <- 1:5
|Create in the workspace an integer
vector nn that holds the values 1,2,3,4,5.
NB: <- is the assignment symbol.
||Display (print) the contents of nn
||Show the contents of the workspace. You should
see "nn" listed.
||End (quit) the session. When asked if you want to save the
workspace, make a habit of clicking on "Yes". This saves everything
in the workspace into a file (called .RData, for
those who really must know) in the
There will at some point be a need to know the path to the working
directory. Start R again (the workspace, if saved on the previous
exit, gets reloaded), and type:
If not set or changed from the default, Windows systems are likely to use
"C:/Documents and Settings/Owner/My Documents" as the
working directory. Other uses for working directories (there can be
as many as you want) will become apparent as the course
||Show the contents of the workspace.
||Get the path to the working directory
There are a number of demonstrations to try.
||Gives a list of demos that can be tried
||Show off the graphics. Press the ENTER key to display the
and to display each successive graph.
Tutorial Material for R
Start working through the document
Click here to get scripts
Other Introductory Documents from the Web
and click on Documentation to see some of the possibilities.
Try, perhaps, R for Beginners (Emmanuel Paradis).
R Packages that should be installed
After installing R, install also the
packages animation, DAAG, fortunes,
latticist, latticeExtra, playwith, rgl,
Rcmdr, Ecdat, oz,
fgui and ggplot2. Several of these packages have a number of
dependencies, so that other packages will be installed along with
them. Mac users who install from the Mac GUI should be sure to tick
the box "Install dependencies".
Other packages to which there may be reference
include dichromat, odfWeave, rpanel,
scatterplot3d, and schoolmath
For playwith, GTk2 should be installed. NB: Gtk2 is
not part of R. It is required in order to use the abilities, or some
of the abilities, in certain R packages
For R under Windows (requires R-2.12 or later), download and install http://downloads.sourceforge.net/gtk-win/gtk2-runtime-2.24.8-2011-12-03-ash.exe
For use with R under MacOS X, download and install
If R has access to a live internet connection, packages can be
installed from the menu. You will need to select a repository.
In Australia, choose an Australian repository. Alternatively, packages
can be installed from the command line. For Rcmdr, a suitable
The R commander has many dependencies, indirect as well as direct.
On a slow internet connection, this may take some time.
Installation of the RStudio Integrated Development
This free and open source development environment (editor, and much
more) is strongly recommended for use of R. Download it from
RStudio website (Mac: ∼ 40MB;
Windows: ∼ 24MB; Linux: ∼ 24MB)
Checking the Installation
To check, e.g., that latticeExtra (and dependencies) is
properly installed, start R and type, on the command line:
Installation of Packages (or even running R) from a DVD Flash
drives (or possibly DVDs) will however be available at the course from
which it will be possible to install, for R-2.15.0 or later, any
packages that are lacking. Additionally, these will include an R
executable that has relevant packages already installed. This makes
it possible, as a temporary recourse, to run R from the flash drive.
Installation of Java JDK (optional)
Certain R packages (e.g., tm for text mining) require Java
JDK. While none of these packages are likely to be used in this
course, anyone who wishes to experiment widely with R packages
may find useful to have Java SDK installed.
Then, under Java Platform, Standard Edition, click on
click on Download JDK. (This is described as Java SE6 Update 23.)
Mac users should already have JDK installed as part of the Macintosh
Do you have data that you are happy to expose to wider view?
Contact the presenter with the details. Data that have been used for
a published paper may be especially suitable.
Last updated: May 11 2012.
Further exercises; and Weaving with R (strictly for those who want
some greater challenge!)
- Web site for R
(CRAN = Comprehensive R Archive Network)
There are further interesting R links here.
John Maindonald's web site
- email: john.maindonald AT anu.edu.au