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Learning R Programming

You're reading from   Learning R Programming Language, tools, and practical techniques

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Product type Paperback
Published in Oct 2016
Publisher Packt
ISBN-13 9781785889776
Length 582 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Kun Ren Kun Ren
Author Profile Icon Kun Ren
Kun Ren
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Toc

Table of Contents (16) Chapters Close

Preface 1. Quick Start FREE CHAPTER 2. Basic Objects 3. Managing Your Workspace 4. Basic Expressions 5. Working with Basic Objects 6. Working with Strings 7. Working with Data 8. Inside R 9. Metaprogramming 10. Object-Oriented Programming 11. Working with Databases 12. Data Manipulation 13. High-Performance Computing 14. Web Scraping 15. Boosting Productivity

Summary


In this chapter, you learned a number of basic functions and various packages for data manipulation. Using built-in functions to manipulate data can be redundant. Several packages are tailored for filtering and aggregating data based on different techniques and philosophies. The sqldf packages use embedded SQLite databases so that we can directly write SQL statements to query data frame in our working environment. On the other hand, data.table provides an enhanced version of data.frame and a powerful syntax, and dplyr defines a grammar of data manipulation by providing a set of pipeline friendly verb functions. The rlist class provides a set of pipeline friendly functions for non-tabular data manipulation. No single package is best for all situations. Each of them represents a way of thinking, and which best fits a certain problem depends on how you understand the problem and your experience of working with data.

Processing data and doing simulation require considerable computing...

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