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Software for Data Analysis: Programming with R
John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His 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. This is the only advanced programming book on R, written by the author of the S language from which R evolved.
514 pages, Hardcover
First published January 1, 2008
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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.
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