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Advanced R / Hadley Wickham.

By: Series: Publication details: Boca Raton: CRC Press, 2015.Description: xxii, 456 pages : illustrationsISBN:
  • 9781466586963
Subject(s): DDC classification:
  • 519.502 855 133 Q51
Online resources:
Contents:
Introduction -- Foundations. Data structures -- Subsetting -- Vocabulary -- Style guide -- Functions -- OO field guide -- Environments -- Debugging, condition handling, and defensive programming -- Functional programming. Functional programming -- Functionals -- Function operators -- Computing on the language. Non-standard evaluation -- Expressions -- Domain specific languages -- Performance. Performance -- Optimising code -- Memory -- High performance functions with Rcpp -- R's C interface -- Index.
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Item type Current library Call number Status Date due Barcode Item holds
Books Books Mahatma Gandhi University Library General Stacks 519.502 855 133 Q51 (Browse shelf(Opens below)) Available 53723
Total holds: 0
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519.502 85 R1 A guide to R for social and behavioral science statistics/ 519.502 855 133 Q4 Using R for introductory statistics/ 519.502 855 133 Q5 Learning statistics using R / 519.502 855 133 Q51 Advanced R / 519.502 855 133 Q52 Data science in R : 519.502 855 133 Q6 A first course in statistical programming with R / 519.502 855 133 Q7 R for beginners/

"A Chapman & Hall Book."

"Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: the fundamentals of R, including standard data types and functions, functional programming as a useful framework for solving wide classes of problems, the positives and negatives of metaprogramming, how to write fast, memory-efficient code. This book not only helps current R users become R programmers but also shows existing programmers what's special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does."--Back cover.

Includes bibliographical references (pages 5-6) and index.

Introduction -- Foundations. Data structures -- Subsetting -- Vocabulary -- Style guide -- Functions -- OO field guide -- Environments -- Debugging, condition handling, and defensive programming -- Functional programming. Functional programming -- Functionals -- Function operators -- Computing on the language. Non-standard evaluation -- Expressions -- Domain specific languages -- Performance. Performance -- Optimising code -- Memory -- High performance functions with Rcpp -- R's C interface -- Index.

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