An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks 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, SAS and R: Data Management, Statistical Analysis, a
SAS and R: Data Management, Statistical Analysis, and Graphics
β Scribed by Ken Kleinman, Nicholas J Horton
- Publisher
- Chapman & Hall
- Year
- 2009
- Tongue
- English
- Leaves
- 302
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
I'm a R programmer who has some familiarity with SAS.
I knew early-on that SAS is a mountain to climb, I was looking for something that would assist me in handing tasks between the 2-systems. This book is the one.
Excellent examples and numerous explanations makes this a no-brainer for people using either system and wanting to learn the other.
β¦ Subjects
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<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, S
<P><EM><U>Quick and Easy Access to Key Elements of Documentation</U> <BR>Includes worked examples across a wide variety of applications, tasks, and graphics</EM></P> <P>A unique companion for statistical coders, <STRONG>Using SAS for Data Management, Statistical Analysis, and Graphics</STRONG> pres
<P><EM><U>Quick and Easy Access to Key Elements of Documentation</U> <BR>Includes worked examples across a wide variety of applications, tasks, and graphics</EM></P> <P>A unique companion for statistical coders, <STRONG>Using SAS for Data Management, Statistical Analysis, and Graphics</STRONG> prese
Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphics Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate