Chap1 SAS_ Cours Logiciel d'Analyse Statistique SAS- ESSAI 2015 (original) (raw)

Retaining the same accessible format as the popular first edition, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications. This edition now covers RStudio, a powerful and easy-to-use interface for R. It incorporates a number of additional topics, including application program interfaces (APIs), database management systems, reproducible analysis tools, Markov chain Monte Carlo (MCMC) methods, and finite mixture models. It also includes extended examples of simulations and many new examples. Through the extensive indexing and cross-referencing, users can directly find and implement the material they need. SAS users can look up tasks in the SAS index and then find the associated R code while R users can benefit from the R index in a similar manner. Numerous example analyses demonstrate the code in action and facilitate further exploration. Features • Presents parallel examples in SAS and R to demonstrate how to use the software and derive identical answers regardless of software choice • Takes users through the process of statistical coding from beginning to end • Contains worked examples of basic and complex tasks, offering solutions to stumbling blocks often encountered by new users • Includes an index for each software, allowing users to easily locate procedures • Shows how RStudio can be used as a powerful, straightforward interface for R • Covers APIs, reproducible analysis, database management systems, MCMC methods, and finite mixture models • Incorporates extensive examples of simulations • Provides the SAS and R example code, datasets, and more online