Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 27. Chapters: R (programming language), Mathematica, SPSS, SAS, ADMB, Bioconductor, SAS language, Speakeasy, Rmetrics, SHAZAM, Gretl, GAUSS, Lumi, World Programming System, Rattle GUI, RExcel, OxMetrics, Sysquake, Emacs Speaks Statistics, Journal of Statistical Software, MCLUST, Sweave, Java GUI for R, R Commander, RGtk2, RKWard, XLispStat, Quantum, Yxilon, RGL. Excerpt: SAS (pronounced "sass," originally Statistical Analysis System) is an integrated system of software products provided by SAS Institute Inc. that enables programmers to perform: In addition, SAS has many business solutions that enable large-scale software solutions for areas such as IT management, human resource management, financial management, business intelligence, customer relationship management and more. SAS is driven by SAS programs, which define a sequence of operations to be performed on data stored as tables. Although non-programmer graphical user interfaces to SAS exist (such as the SAS Enterprise Guide), these GUIs are most often merely a front-end that automates or facilitates the generation of SAS programs. The functionalities of SAS components are intended to be accessed via application programming interfaces, in the form of statements and procedures. A SAS program has three major parts: SAS Library Engines and Remote Library Services allow access to data stored in external data structures and on remote computer platforms. The DATA step section of a SAS program, like other database-oriented fourth-generation programming languages such as SQL or Focus, assumes a default file structure, and automates the process of identifying files to the operating system, opening the input file, reading the next record, opening the output file, writing the next record, and closing the files. This allows the user/programmer to concentrate on the details of working wi...