Rweb is a Web based interface to R
(a statistical analysis package) that takes
the submitted code, runs R on the code (in batch mode), and returns the
output (printed and graphical).
The computer time to run the analyses and draw the plots is donated by the
Department of Mathematical Sciences, Montana State University.
If you have any comments, criticisms, bug reports, or if you're just lonely you
can email me (Jeff Banfield) at
jeff@math.montana.edu.
If you are interested in setting up your own Rweb server visit the
Rweb Resources Page
to download the source code and find links to supporting software.
R is a free statistical analysis package developed by Robert Gentleman and
Ross Ihaka.
It is almost source code compatible with S or Splus so if you have experience
with those languages you should have no problem using Rweb.
For information about R you can read the
R introduction page,
contact the
R authors ,
or visit the
R Archive.
If you would like to learn more about using R you can try a fairly
rough latex2html conversion of the
R notes
developed by Venables and
Smith and then modified for R by Gentleman and Ihaka
Which Version Do You Want?
Rweb
A simple web interface to R that works on most browsers and
requires knowledge of R (or Splus).
You type in the code, click the submit button and a page with the results
(analysis and graphs) is returned.
This version of Rweb only requires a browser that can handle forms and graphics
(if you do any plotting).
There is a small code snippet at the end of the page in case you don't know
R but you still want to try it out.
JavaScript Version of Rweb
This is the same Rweb as above but with a few display enhancements
(based on JavaScript) that may or may not work on your browser.
It works with Netscape 3 on both a Macintosh and Unix
platform.
If your browser understands JavaScript this version of Rweb should work for you.
This version of Rweb is under development and
the way it displays results may change occasionally.
I'm trying to create a complete, Web based, computing environment for
statistical analysis.
I would truly appreciate any suggestions or comments on this version ... but
don't be too harsh, remember, it's under development.
Rweb modules
These modules are designed as a point and click forms based interface to
R for use in introductory statistics courses.
Students do not need to know anything about writing programs in R.
They choose a data set, the type of
analysis, and the options for the analysis.
The currently implemented analyses include Regression, Summary statistics and
graphs, ANOVA, Two Way Tables, and a Probability calculator.
The output includes printouts and graphs which can be cut and pasted into
project writeups or printed out.
I'm making the modules up as I go (both content and design)
and I would love to have some advice.
So, anybody that has an idea about
improving these modules, please let me know.
© 1998 Jeff Banfield
Author:
Jeff Banfield
Email:
jeff@math.montana.edu
Last Modified: 2-Oct-1998