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Rweb:Web-based Statistical Analysis

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  • Banfield, Jeff

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.

Suggested Citation

  • Banfield, Jeff, 1999. "Rweb:Web-based Statistical Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 4(i01).
    • Handle: RePEc:jss:jstsof:v:004:i01
    DOI: http://hdl.handle.net/10.18637/jss.v004.i01
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    References listed on IDEAS

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    1. West, Webster & Ogden, Todd, 1997. "Statistical Analysis with Webstat, a Java applet for the World Wide Web," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 2(i03).
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    Cited by:

    1. Ooms, Jeroen, 2013. "The RAppArmor Package: Enforcing Security Policies in R Using Dynamic Sandboxing on Linux," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 55(i07).
    2. Thioulouse, Jean & Dray, Stéphane, 2007. "Interactive Multivariate Data Analysis in R with the ade4 and ade4TkGUI Packages," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i05).
    3. Moon, Hojin & Lee, J. Jack & Ahn, Hongshik & Nikolova, Rumiana G., 2002. "A Web-based Simulator for Sample Size and Power Estimation in Animal Carcinogenicity Studies," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 7(i13).
    4. Esty, Warren W. & Banfield, Jeff, 2003. "The Box-Percentile Plot," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i17).
    5. Mineo, Angelo & Pontillo, Alfredo, 2006. "Using R via PHP for Teaching Purposes: R-php," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i04).

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