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Hello! Thank you for viewing this page. Given the movement toward incorporating R in statistical analysis here at Carleton, I have created this little sub-page of information. Posted material includes user-manuals and tutorials for both beginning and advanced users. Once again, thank you for your consideration. If you have any questions, email me <BhalaS@carleton.edu> or Paula Lackie <PLackie@carleton.edu> and we will try our best to help. ~ Samir S. Bhala '12, Political Science |
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As economists would say, there are significant start-up costs to learning R. It can be daunting. Resources, like this PDF, exist to can help beginning those users who would like a document to get help them started. (Be sure to check the The Appendix on sources of help & and documentation should prove helpful.) but I think that this site is even better: <http://www.statmethods.net/> where the
This site is also useful. The author says
"I created this website for experienced users of popular statistical packages such as SAS, SPSS, Stata, and Systat (although current R users should also find it useful). My goal is to help you quickly access this language in your work. "
Also, there was a complaint that R had a file size limitation (based on hardware constraints) and this is no longer an issue.
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