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The art of R programming: a tour of statistical software design

By: Matloff, Norman.
Publisher: San Francisco No Starch Press 2011Description: xxiii, 373 p.ISBN: 9781593273842.Subject(s): Statistics | Data processing | R (Computer program language) | Statistics - Data processingDDC classification: 519.502855133 Summary: 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. (https://www.nostarch.com/artofr.htm)
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Item type Current location Item location Collection Call number Status Date due Barcode
Books Vikram Sarabhai Library
General Stacks
Slot 1420 (0 Floor, East Wing) Non-fiction 519.502855133 M2A7 (Browse shelf) Checked out 09/11/2019 190235

Table of contents:

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

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.

(https://www.nostarch.com/artofr.htm)

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