
RSS MattersLink to the last RSS article here: Installing SPSS 14  Ed. Bayesian Packages for R version 2.2.1By Dr Rich Herrington, ACS Research and Statistical Support Services ConsultantR version 2.2.1 was released on December 20, 2005. A description of changes for Microsoft Windows platform versions can be found here. The latest versions of R for the Windows platform can be found here. We are hosting a local copy of the R 2.2.1 installation file for the Windows platform here for download. Additionally, we have made free copies of a "executable" CD version of R 2.2.1 available over in the UNT bookstore (trade books). R 2.2.1 has been installed on this "live" CD with some minor preconfigurations so that R can run off of the CD. To begin the R session, browse to the \bin folder on the CD and click the Rgui.exe file. Additionally, you can set up a shortcut on your desktop to run R off of the CD. Alternatively, you can copy the contents of the CD into an R folder on your local harddrive and create a shortcut to the C:\R\bin\Rgui.exe file. Once R has been started, you should see two windows once the initialization of R is complete. The first is the R Console window:
The second is the R Commander window, a simple drop down menu for doing a number of beginner to advanced statistics thru a GUI dialog system:
To set up your working directory so that you can read and write files to your local storage media (not the CD  since it is write only). Go the R console window and select "File  Change dir":
You can set your working directory to a writeable storage media:
Now you should be able to write out and read to this directory. Bayesian Analysis in RBayesian approaches to inference have become increasingly popular in applied statistics since the arrival of cheap, fast, computers. The availability of today's computational power in a desktop PC allows more complicated, realistic Bayesian models to be estimated thru simulation methodologies. Currently, the availability of the BUGS software (e.g. WinBugs & OpenBugs) and numerous R packages dedicated to Bayesian analysis, give the researcher an arsenal of methods to attack problems from a Bayesian framework. An introduction to Bayesian thinking and data analysis is beyond the scope of this current article, but we hope to cover an introduction to Bayesian analysis in R and WinBugs in future column installments. Here, we just present a sampling of some of the packages that are available in R for doing Bayesian analysis:
R2WinBUGS Running WinBUGS from R A Few Good Books on Bayesian AnalysisI'll end this column by listing a few of my favorite books on Bayesian Analysis:
Bayesian Statistics and Marketing
