## What is R LanguageR is an integrated suite of software facilities for data manipulation, calculation and graphical display. It is a GNU project and can be considered a different implementation of S language but very much more extensible, which is done via packages. In fact the R language should be viewed as the scripting language for the R environment. On one hand, these notes are intended to make the language easier to learn, on the other hand the R language itself will help you to understand much better some Data Mining algorithms. The following are the most remarkable features of R Language: A Storage facility `<dbConnect()> <read.table(x)>` Operators for calculations on matrices `<as.matrix(x)> <M = matrix(nrow=60, ncol=2)>` Graphical facilities for data analysis and display `<plot(x)> <summary(x)> ` Control structures `<if(..) {...} else {...}> <for(..) {...}> <while(..) {...}>` Statistics oriented operators `<rnorm(n=20, mean=1, sd=1>` Packages enhancement extend a wide range of modern statistics through the CRAN project `<library(FSelector)>` Official web site for R language is www.r-project.org Official web site for R Packages is www.cran.r-project.org | ## R DocumentationAll case studies developed in our site will contain all required R language and Data Mining explanations in order to easy understand each step, nevertheless we find interesting to supply links in case you need further detailed info. R manuals in English from the CRAN project At CRAN web site you will find a FAQ page, but for more R programming oriented help you can visit R_FAQ In contributed documentation you will find also R programming guides both for beginners and more advanced profiles as well as docs in other languages like Spanish. R Packages Data Mining orientedIn contributed packages web site you will find a list of available packages and instructions to install them in different platforms. The following are the ones we will cover in much more detail in our site: Weka is an excellent machine learning project delivered as a GNU open source. Weka has nice and unique implementations like J48 decision tree algorithm. The good new is that R has a package RWeka which includes most of the data mining algorithms covered in the Weka project. | \|/|/ \|\\|//|/ \|\|/|/ \\|// water your knowledge ! \|/ \|/ | _\|/__|_\|/____\|/_ |