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R High Performance Programming

You're reading from   R High Performance Programming Overcome performance difficulties in R with a range of exciting techniques and solutions

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783989263
Length 176 pages
Edition 1st Edition
Languages
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Authors (2):
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Tjhi W Chandra Tjhi W Chandra
Author Profile Icon Tjhi W Chandra
Tjhi W Chandra
Aloysius Shao Qin Lim Aloysius Shao Qin Lim
Author Profile Icon Aloysius Shao Qin Lim
Aloysius Shao Qin Lim
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Toc

Table of Contents (12) Chapters Close

Preface 1. Understanding R's Performance – Why Are R Programs Sometimes Slow? FREE CHAPTER 2. Profiling – Measuring Code's Performance 3. Simple Tweaks to Make R Run Faster 4. Using Compiled Code for Greater Speed 5. Using GPUs to Run R Even Faster 6. Simple Tweaks to Use Less RAM 7. Processing Large Datasets with Limited RAM 8. Multiplying Performance with Parallel Computing 9. Offloading Data Processing to Database Systems 10. R and Big Data Index

Who this book is for

If you are already an R programmer and you want to find ways to improve the efficiency of your code, then this book is for you. While you need to be familiar with and comfortable using R, you do not need deep expertise in the language. The skills that you need to benefit from this book are:

  • Installing, upgrading and running R on your computer
  • Installing and upgrading CRAN packages within your R environment
  • Creating and manipulating basic data structures like vectors, matrices, lists, and data frames
  • Using and converting between different R data types
  • Performing arithmetic, logical, and other basic R operations
  • Using R control statements such as if, for, while, and repeat
  • Writing R functions
  • Plotting charts using R Graphics

If you are new to R and want to learn how to write R programs, there are many books, online courses, tutorials, and other resources available. Just search for them using your favorite search engine.

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