Statistical package R
R is an elegant statistical and graphical programming language.
- It is free. If you are a professor or a student, the benefits are obvious.
- It is executable on a variety of platforms including Windows, Unix, and MacOS.
- It provides a platform for programming of new statistical methods in a simple way.
- It contains advanced statistical routines that are not yet available in other packages.
- It generates powerful graphic updated with the state of the art
The professor of the Dept. public healthEva María Navarrete Muñoz has made a few videos Cattail communities of R and R-Commander that you can see the following playlist of youtube
- Official website of R (http://www.r-project.org/) On the official website of R you can find all the information about this program package, manual updates,…
- Blogs de R (http://www.r-bloggers.com/)
- Blog Quick-R (http://www.statmethods.net/): Useful blog for users or potential users of R. Quick-R was created for users experienced in other packages statistical as SAS, SPSS, Stata, and Systat. The purpose of the site is to help achieve quick access to this language. It is assumed that the user should be familiar with the majority of statistical methods. In addition to provide the code necessary to start quickly the tool it orients to future learning.
- Blog G. R. Serrano (http://www.grserrano.es/): Blog interesting from professor G. R. Serrano with some interesting applications of R.
- Datanalytics (http://www.datanalytics.com/codigo_r.html) Datanalytics is a network of statisticians and experts consultants in data mining, which develops code forR.
- Analysis of texts with R (http://analisisydecision.es/analysis-of-text-with-r/)