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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). 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,
, or visit the R Archive. If you would like to learn
more about using R you can try a fairly rough latex2.html 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.
If your browser understands JavaScript this version of Rweb should work for you.
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.
© 2002, Biostatistics Department, Bloomberg School Of Public Health, Johns Hopkins University.
Last updated: 02/18/2003
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