A First Course in Statistical Programming with R by 
A Handbook of Statistical Analyses Using R, Third Edition by 
Longitudinal and Panel Data by You have via my.cbs access to more statistical software packages such as SAS, SPSS, Stata and JMP.
Go to My.cbs.dk and choose IT & Campus > IT Facilities and Tools > Free software:
SUPPORT:
Getting Started in Data Analysis: Stata, R, SPSS, Excel (a guide from Princeton University Library):
A self-guided tour to help you find and analyze data using Stata, R, Excel and SPSS.
R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.
Download R: choose your preferred CRAN mirror to download R
GUIDES & SUPPORT
Quick-R (made by Robert Kabacoff), is a R introduction site. It covers data management, basic and advanced statistics, and graphing in R. It is aimed at beginners as well at an audience that has previous experience using other packages (such as SAS or Stata).
R-bloggers is blog aggregator of content contributed by bloggers who write about R (in English). The site helps R bloggers and users to connect and follow the “R blogosphere”. You can find information for beginner and the more advanced user of R. On the web site they have collected some tutorials for learning R.
Video tutorials for R:
a YouTube playlist with tutorials on how to use R
A guide from Princeton University Library to help you find and analyze data among other things R. The goal is to provide basic learning tools for classes, research and/or professional development
