What do you think?
Rate this book
Software for Data Analysis: Programming with R (Statistics and Computing) 1st 2008. Corr edition by John M. Chambers (2009) Hardcover
John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award. He is author or coauthor of the landmark books on S.
Now he turns to R, the enormously successful open-source system based on the S language. R's international support and the thousands of packages and other contributions have made it the standard for statistical computing in research and teaching.
This book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated.
The techniques covered include such modern programming enhancements as classes and methods, namespaces, and interfaces to spreadsheets or data bases, as well as computations for data visualization, numerical methods, and the use of text data.
Now he turns to R, the enormously successful open-source system based on the S language. R's international support and the thousands of packages and other contributions have made it the standard for statistical computing in research and teaching.
This book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated.
The techniques covered include such modern programming enhancements as classes and methods, namespaces, and interfaces to spreadsheets or data bases, as well as computations for data visualization, numerical methods, and the use of text data.
Hardcover
First published January 1, 2008
5 people are currently reading
93 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 2 of 2 reviews
Read
July 25, 2023John M. Chambers skillfully presents R programming in a practical and accessible manner, making it approachable not only for novice non-programmers but also for statisticians. With his step-by-step approach, readers can easily grasp the fundamentals of R analysis and programming, enabling them to analyze data with confidence and ease.
For statisticians and data analysts, overlooking this valuable book would be a missed opportunity to stay relevant in the constantly evolving landscape of data analysis. Embracing R programming and the latest data analysis techniques is crucial for professionals seeking to thrive in the ever-changing computer era. By delving into the wealth of knowledge offered by this book, they can equip themselves with the skills necessary to adapt and excel in this new and incomparable trend in data analysis and programming.
For statisticians and data analysts, overlooking this valuable book would be a missed opportunity to stay relevant in the constantly evolving landscape of data analysis. Embracing R programming and the latest data analysis techniques is crucial for professionals seeking to thrive in the ever-changing computer era. By delving into the wealth of knowledge offered by this book, they can equip themselves with the skills necessary to adapt and excel in this new and incomparable trend in data analysis and programming.
May 5, 2011
Lots of information but rather poorly organized. Writing style is verbose and takes some effort.
Displaying 1 - 2 of 2 reviews