The art of R programming
Subtitle: tour of statistical software design
By: by Norman Matloff.
Publisher: No Starch Press
Published: 2011
Place of publication: San Francisco, USA
Language: eng
Format: eBook
Number of pages: 373
ISBN-13: 9781593273842
Copyright date: 2011
Subjects: Statistics; Data processing; R (Computer program language)
First sentence: As detailed in the Introduction, R is an extremely versatile open source programming language for statistics and data science.
Description: A guide to software development using the R programming language covers such topics as closures, recursion, anonymous functions, and debugging techniques.
Table of contents: title: Brief contents
pagenum: v; title: Contents In Detail
pagenum: vii; title: Acknowledgments
pagenum: xvii; title: Introduction
pagenum: xix; label: 1
title: Getting Started
pagenum: 1; label: 2
title: Vectors
pagenum: 25; label: 3
title: Matrices and Arrays
pagenum: 59; label: 4
title: Lists
pagenum: 85; label: 5
title: Data Frames
pagenum: 101; label: 6
title: Factors and Tables
pagenum: 121; label: 7
title: R Programming Structures
pagenum: 139; label: 8
title: Doing Math and Simulations in R
pagenum: 189; label: 9
title: Object-Oriented Programming
pagenum: 207; label: 10
title: Input/Output
pagenum: 231; label: 11
title: String Manipulation
pagenum: 251; label: 12
title: Graphics
pagenum: 261; label: 13
title: Debugging
pagenum: 285; label: 14
title: Performance Enhancement: Speed and Memory
pagenum: 305; label: 15
title: Interfacing R to Other Languages
pagenum: 323; label: 16
title: Parallel R
pagenum: 333; label: A
title: Installing R
pagenum: 353; label: B
title: Installing and Using Packages
pagenum: 355; title: Index
pagenum: 359