Have you ever needed to do a type of statistical analysis you haven't done in a while (or perhaps ever), and weren't quite sure how to get started in R? In this situation, my usual starting point is to find an example of a similar analysis someone else has done, and then adapt it to my own data set (with regular reference to the help pages).

UCLA Academic Technology Services has a web-site that can help with that process. On their Data Analysis Examples page you can find a number of worked examples of various common and not-so-common statistical procedures performed in R, including:

Each page includes one or more examples of the type of analysis in question. (For example: "We wish to study the influence of age, gender and exercise on whether or not someone has a heart attack. Again, we have a binary response variable, whether or not a heart attack occurs.") Also provided is all the code in R to download the data and conduct the analysis.

Better yet, if you're already familiar with how to do the analysis in another system such as SAS or SPSS, the code for many of the same examples is also available for those systems. If you're a SAS user (for example) looking at the code for Probit Regression side-by-side in SAS and then in R is a great way of using your SAS knowledge to learn R.

UCLA Academic Technology Services: Data Analysis Examples

On my site there are also some solved problem on statistical inference, using R. Hope they'll help you and all visitors :)

Posted by: TodosLogos | July 31, 2009 at 02:40

hi friends,

I am new to R.I would like to know R-PLUS.Does any know where can I get the free training for R-PLUS.

Regards,

Peng.

Posted by: peng | January 29, 2010 at 06:17