The Art of R Programming
A Tour of Statistical Software Design
(Sprache: Englisch)
R is the world's most popular programming language for statistical computing. Drug developers use it to evaluate clinical trials and determine which medications are safe and effective; archaeologists use it to sift through mounds of artifacts and track the...
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Klappentext zu „The Art of R Programming “
R is the world's most popular programming language for statistical computing. Drug developers use it to evaluate clinical trials and determine which medications are safe and effective; archaeologists use it to sift through mounds of artifacts and track the spread of ancient civilizations; and actuaries use it to assess financial risks and keep economies running smoothly. In "The Art of R Programming," veteran author Norman Matloff takes readers on a guided tour of this powerful language, from basic object types and data structures to graphing, parallel processing, and much more. Along the way, readers learn about topics including functional and object-oriented programming, low-level code optimization, and interfacing R with C++ and Python. Whether readers are doing academic research, designing aircraft, or forecasting the weather, R is the tool of choice for statistical application development, and "The Art of R Programming" is the definitive guide to learning R.
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep markets running smoothly.
The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.
Along the way, you'll learn about functional and objectoriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formates. You'll also learn to:
- Create artful graphs to visualize data sets and functions
- Write more efficient code using parallel R and vectorization
- Interface R with C/C++ and Phython for increased speed or functionality
- Find new packages for text analysis, image manipulation, and more
- Squash annoying bugs with advanced debugging techniques
Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.asic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.
Along the way, you'll learn about functional and objectoriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formates. You'll also learn to:
- Create artful graphs to visualize data sets and functions
- Write more efficient code using parallel R and vectorization
- Interface R with C/C++ an
The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.
Along the way, you'll learn about functional and objectoriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formates. You'll also learn to:
- Create artful graphs to visualize data sets and functions
- Write more efficient code using parallel R and vectorization
- Interface R with C/C++ and Phython for increased speed or functionality
- Find new packages for text analysis, image manipulation, and more
- Squash annoying bugs with advanced debugging techniques
Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.asic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.
Along the way, you'll learn about functional and objectoriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formates. You'll also learn to:
- Create artful graphs to visualize data sets and functions
- Write more efficient code using parallel R and vectorization
- Interface R with C/C++ an
Inhaltsverzeichnis zu „The Art of R Programming “
IntroductionChapter 1: Getting Started
Chapter 2: Vectors
Chapter 3: Matrices and Arrays
Chapter 4: Lists
Chapter 5: Data Frames
Chapter 6: Factors and Tables
Chapter 7: R Programming Structures
Chapter 8: Doing Math and Simulations in R
Chapter 9: Object-Oriented Programming
Chapter 10: Input/Output
Chapter 11: String Manipulation
Chapter 12: Graphics
Chapter 13: Debugging
Chapter 14: Performance Enhancement: Tradeoffs in Time and Space
Chapter 15: Interfacing R to Other Languages
Chapter 16: Parallel R
Appendix A: Installing R
Appendix B: Installing and Using Packages
Autoren-Porträt von Norman Matloff
Norman Matloff is a professor of computer science (and was formerly a professor of statistics) at the University of California, Davis. His research interests include parallel processing and statistical regression, and he is the author of a number of widely-used Web tutorials on software development. He has written articles for the New York Times, the Washington Post, Forbes Magazine, and the Los Angeles Times, and is the co-author of The Art of Debugging (No Starch Press).
Bibliographische Angaben
- Autor: Norman Matloff
- 2011, 400 Seiten, mit Abbildungen, Maße: 18,2 x 23,6 cm, Kartoniert (TB), Englisch
- Verlag: No Starch Press
- ISBN-10: 1593273843
- ISBN-13: 9781593273842
- Erscheinungsdatum: 13.12.2011
Sprache:
Englisch
Pressezitat
"If a person really wants to be able to speak the R language and become a competent R programmer then . . . one can find no better guide than Norman Matloff's The Art of R Programming."Joe Rickert, Revolution Analytics
"The book I'd recommend for someone wanting to learn R, especially for someone with more experience in programming than statistics."
John D. Cook, The Endeavor
"Good from cover to cover. Enough depth that the experienced R user will find useful things in the later chapters."
John Graham-Cumming
If you are serious about learning R . . . The Art of R Programming will be beneficial to you.
Paolo Sonego, One R Tip a Day
"Makes it look easy for those scientists who need to make numerical models based on statistical analysis. Serious stuff for people who are already R programmers, but it has a lot of value for entry level folks too."
Hank Campbell, Science 2.0
"If you need to do statistical work as a programmer I highly recommend buying it."
Bryan Bell, Math and More
"An R programming book that starts from the beginning. If you have at least a vague idea of what programming is, you should find The Art of R Programming useful. I m keeping this one."
Nathan Yau, FlowingData
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