Main materials for work with FasteR software you can found under Downloads section and under FasteR YouTube channel.
Here you can found list of another interesting sources focused on statistics and programming in R.
N. Matloff 2011. The Art of R Programming: A Tour of Statistical Software Design. 400p.
The best book about programming in R. This book cover programming-related topics that are not listed in other books. This book describe the topics from data structures, programming idioms, performance enhancements, interfaces with other languages, debugging, graphing, I/O operating and string manipulating.
R.I. Kabacoff 2011. R in Action: Data analysis and graphics with R. 447p.
Also interesting book, but focused on practical use of the most important statistical functions in R such as data management, descriptive statistics, correlations, t-tests, regression analysis, analysis of variance, power analysis, resampling statistics, bootstrapping, principal components and factor analysis.
P. Spector 2008. Data Manipulation with R. 152p.
Comprehensive source of information about data manipulation. Reference guide about R structures, conversions, missing values, reading & writing data from & to multiple sources and databases, data manipulation, aggregation and reshaping.
H. Wickham 2009. ggplot2: Elegant Graphics for Data Analysis. 212p.
This book describes ggplot2 package that uses Wilkison's Grammar of Graphics to create a powerful and flexible system for data graphics.
Basic manuals for work with R. It includes An Introduction to R, R Data Import/Export, R Installation and Administration, Writing R Extensions, The R language definition, R Internals and The R Reference index.
Manuals, tutorials, etc. provided by users of R. Dozens of interesting documents.
Information about usability of R in different areas.
Open Source software for bioinformatics. Interesting project with another 934 (January 2015) packages.
Website with documents, examples, tutorials and resources on R and data mining.
R news and tutorials contributed by 573 (January 2015) R bloggers
Download and install actual version of R environment.
Useful R packages
Read your data from multiple database sources.
plyr is a set of tools for a common set of problems: you need to split up a big data structure into homogeneous pieces, apply a function to each piece and then combine all the results back together.
Flexibly restructure and aggregate data using just two functions: melt and dcast (or acast).
ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and none of the bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics.
Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Draw Geographical Maps
Manipulate R data frames using SQL.