| Vol. 25 | Vol. 24* | Vol. 23 | Vol. 22* |
| Vol. 21 | Vol. 20* | Vol. 19 | Vol. 18* |
| Vol. 17 | Vol. 16 | Vol. 15 | Vol. 14 |
| Vol. 13* | Vol. 12 | Vol. 11 | Vol. 10* |
| Vol. 9 | Vol. 8 | Vol. 7 | Vol. 6 |
| Vol. 5 | Vol. 4 | Vol. 3 | Vol. 2 |
| Vol. 1 | |||
| * = Special Volume | |||
| Authors: | Jeff Banfield |
| Title: | [download] (3067)Rweb:Web-based Statistical Analysis |
| Reference: | Vol. 4, Issue 1, Mar 1999 Submitted 1998-03-24, Accepted 1999-03-12 |
| Type: | Article |
| Abstract: | Rweb is a freely accessible statistical analysis environment that is delivered through the World Wide Web (WWW). It is based on R, a well known statistical analysis package. The only requirement to run the basic Rweb interface is a WWW browser that supports forms. If you want graphical output you must, of course, have a browser that supports graphics. The interface provides access to WWW accessible data sets, so you may run Rweb on your own data. Rweb can provide a four window statistical computing environment (code input, text output, graphical output, and error information) through browsers that support Javascript. There is also a set of point and click modules under development for use in introductory statistics courses. |
| Paper: | [download] (3067)Rweb:Web-based Statistical Analysis (application/pdf, 174.7 KB) |
| Supplements: | [download] (84)Rweb.tar.gz: R source package (application/x-gzip, 190 KB) |
| Resources: | BibTeX | OAI |