Master R's full potential in data analysis in an Instant with Packt's new eBook.

April 2013 | Open Source

Packt is pleased to announce the publication of its new eBook, Instant R Starter. This beginner's guide to the R programming language explores R's versatility in the cross-platform environment. A practical introduction to R, this eBook explains an excellent way to present data effectively, with hands-on, real-world examples.

About the Author:  Dr. Donato Teutonico has several years of experience in the modeling and simulation of drug effects and clinical trials in an industrial and academic setting. He has also authored two R packages for pharmacometrics, CTStemplate and panels4Pharmacometrics, both of which are available on Google code. 

R is a cross-platform software environment widely used among statisticians and data miners for developing statistical software and data analysis. Instant R Startertakes users into the world of R, beginning with installation and then coveringthe basic concepts. Readers will learn about data analysis and data manipulation through simple, practical instructions, as well as benefit from tips and tricks to quickly debug programs.

Instant R Starter helps users discover the full potential of R. They will learn how to create and manipulate objects such as vectors, matrices, lists, and data frames. The eBook then builds on these concepts to explain advanced programming techniques such as writing complex functions, debugging them, manipulate data and plotting them.

This eBook is for users who want an introduction to R language and to explore new technology. For more information please visit: http://www.packtpub.com/r-programming-language-starter/book

Instant R Starter
Discover tips and tricks for working with R

For more information, please visit: http://www.packtpub.com/r-programming-language-starter/book

 

 

Code Download and Errata
Packt Anytime, Anywhere
Register Books
Print Upgrades
eBook Downloads
Video Support
Contact Us
Awards Voting Nominations Previous Winners
Judges Open Source CMS Hall Of Fame CMS Most Promising Open Source Project Open Source E-Commerce Applications Open Source JavaScript Library Open Source Graphics Software
Resources
Open Source CMS Hall Of Fame CMS Most Promising Open Source Project Open Source E-Commerce Applications Open Source JavaScript Library Open Source Graphics Software