RSS Matters
Volume 15 - Number 1 * January 2012
Working with Sage and R
Link to the last RSS article here: How to Conduct Empirical Academic Research: A (very) General Guide
-- Ed.
By Dr. Rich Herrington, Research and Statistical Support Consultant
This month we review basic computational tasks within the "Sage" mathematics software. Additionally we look at using the Sage notebook as an interface to the R system of statistical software. Details on downloading Sage and setting up a Sage server can be found at: http://www.sagemath.org
Sage consists of a large collection of public domain mathematical software packages (http://www.sagemath.org/links-components.html). The developers of Sage have looked to integrating previous existing software efforts under a common framework, rather than re-implementing their functionality. The R software system is one such software effort (http://www.cran.r-project.org), and we will look at basic operations in sharing data and computations between these two computational systems.
Getting Started - The Sage Notebook
Visit http://rss.unt.edu/home/pub/0/ for the rest of the story.
Originally published January 2012 --Please note that information published in Benchmarks Online is likely to degrade over time, especially links to various Websites. To make sure you have the most current information on a specific topic, it may be best to search the UNT Website - http://www.unt.edu . You can also search Benchmarks Online - http://www.unt.edu/benchmarks/archives/back.htm as well as consult the UNT Helpdesk - http://www.unt.edu/helpdesk/ Questions and comments should be directed to benchmarks@unt.edu.