The Art of R Programming

Informationen zum Autor Norman Matloff Klappentext 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 economies 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 object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: -Create artful graphs to visualize complex data sets and functions -Write more efficient code using parallel R and vectorization -Interface R with C/C++ and Python for increased speed or functionality -Find new R 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. Zusammenfassung 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 economies 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 object-oriented programming! running mathematical simulations! and rearranging complex data into simpler! more useful formats. You'll also learn to: –Create artful graphs to visualize complex data sets and functions –Write more efficient code using parallel R and vectorization –Interface R with C/C++ and Python for increased speed or functionality –Find new R 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. Inhaltsverzeichnis Introduction Chapter 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...

List of contents

Introduction
Chapter 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

Report

"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

Product details

• Authors: Norman Matloff, Matloff Norman
• Publisher: No Starch Press
• Languages: English
• Product format: Paperback / Softback
• Released: 01.07.2012
• EAN: 9781593273842
• ISBN: 978-1-59327-384-2
• No. of pages: 400
• Dimensions: 182 mm x 238 mm x 27 mm
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Programming languages; Programming & scripting languages: general, Programming and scripting languages: general, COMPUTERS / Languages / General