<P><EM>An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks<BR></EM>The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, <STRONG>SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition</STRONG> 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.</P><P><EM>New to the Second Edition<BR></EM>This edition now covers RStudio, a powerful and easy-to-use interface for R. It incorporates a number of additional topics, including using application program interfaces (APIs), accessing data through database management systems, using
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