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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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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

Using object functions

In the previous chapter, you learned about some functions that work with the environment and packages. In this section, we will get to know some basic functions that deal with objects in general. More specifically, I will introduce you to more functions to access the type and dimensions of a data object. You will get an impression of how these concepts can be combined and how they work together.

Testing object types

Although everything in R is an object, objects have different types.

Suppose the object we are dealing with is user-defined. We will create a function that behaves in different ways according to the type of the input object. For example, we need to create a function named take_it that returns the first element if the input object as an atomic vector (for example, numeric vector, character vector, or logical vector), but returns a user-defined element if the input object is a list of data and index.

For example, if the input is a numeric vector such as c(1...

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