This page contains information about getting started in gnu R.

• Plotting contains exemplary plots using (mostly ggplot2 by [Hadley Wickham] (http://had.co.nz/))
• Reshaping data will contain examples of data reshaping
• Plyring will contain examples that are concerned with slicing, dicing and aggregating data.
• Forecasting will contain examples on how to forecast given training data a.k.a. historic knowledge, using the excellent forecasting package by Rob J. Hyndman
• Tables will contain table examples

• http://rstudio.org --> today's quasi standard

• http://tryr.codeschool.com/ Interactive introduction from codeschool
• http://cran.r-project.org/doc/manuals/R-intro.pdf
• http://data.princeton.edu/R/
• http://en.wikibooks.org/wiki/R_Programming
• [German] http://www.heise.de/developer/artikel/Datenanalyse-mit-R-Teil-1-1845278.html Heise article part 1

• http://www-stat.stanford.edu/~susan/courses/s141/RNotes.pdf Overview of most important built-in functions
• http://www.slideshare.net/izahn/rintro --> includes IO, plotting and regression
• http://freakonometrics.free.fr/IFM2-slides-1.pdf --> all sorts of commands one should know
• [German] http://wwwold-m4.ma.tum.de/software/EinfuehrungR_Ferienkurs09.pdf from the Technical University of Munich
• [German] http://www.heise.de/developer/artikel/Datenanalyse-mit-R-Teil-2-1847554.html Heise article part 2

• http://blog.yhathq.com/posts/10-R-packages-I-wish-I-knew-about-earlier.html --> title says it all
• http://de.wikibooks.org/wiki/GNU_R
• http://en.wikibooks.org/wiki/R_Programming --> the same and more in English
• http://quanttrader.info/public/gettingStartedWithR.html --> short intro to R
• http://www.inside-r.org/ is often intersting
• http://www.cookbook-r.com/ --> lots of examples
• http://www.r-bloggers.com/ --> new content every day, nice to get ideas on potential R applications
• http://blog.revolutionanalytics.com/2013/04/coursera-data-analysis-course-videos.html

• http://www.datamind.org/#/courses/1 - an introductory course to R
• http://www.computerworld.com/s/article/9239799/60_R_resources_to_improve_your_data_skills - a List of R resources by Sharon Machlis