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