Introduction to R, Statistical Computing - Portland Data Viz March 28, 2009

R, also called GNU S, is a strongly functional language and environment to statistically explore data sets and make many graphical displays of data.

R is widely used for statistical software development and data analysis. R is part of the GNU project, and its source code is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems. R uses a command line interface, though several graphical user interfaces are available.

Ed Borasky will provide an introduction to R this Saturday at Cubespace from 11Am-3Pm. Please come prepared with a laptop and the requisite software (link to come soon). If you have any issues installing the software, or need help before the meeting, feel free to arrive at 10:30 Am.

Software Downloads
Updated to get ready for the upcoming class. There will be a few more
pages coming. The first will be on installing GGobi, and the second
will be on CRAN Task Views.

Click on http://groups.google.com/group/pdx-visualization/web/getting-started-with-the-r-programming-language
- or copy & paste it into your browser's address bar if that doesn't
work.

Here's an abbreviated "Getting Started With GGobi" guide. Please try
this stuff out and let me know where it's broken. I just ran through
the Windows part and the "Testing on a Social Network Dataset" part
and that much of it works. :)

Click on http://groups.google.com/group/pdx-visualization/web/getting-started-with-ggobi
- or copy & paste it into your browser's address bar if that doesn't
work.

About R

R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is now developed by the R Development Core Team. It is named partly after the first names of the first two R authors (Robert Gentleman and Ross Ihaka), and partly as a play on the name of S. The R language has become a de facto standard among statisticians for the development of statistical software.

More information: http://www.r-project.org/

Join the Portland Data Visualization Google Group for more updates: http://groups.google.com/group/pdx-visualization?hl=en.

Official Website: http://groups.google.com/group/pdx-visualization?hl=en