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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

Lists

A list is a generic vector that is allowed to include different types of objects, even other lists.

It is useful for its flexibility. For example, the result of a linear model fit in R is basically a list object that contains rich results of a linear regression such as linear coefficients (numeric vectors), residuals (numeric vectors), QR decomposition (a list containing a matrix and other objects), and so on.

It is very handy to extract the information without calling different functions each time because these results are all packed into a list.

Creating a list

We can use list() to create a list, as the function name suggests. Different types of objects can be put into one list. For example, the following code creates a list that contains a single-element numeric vector, a two-entry logical vector, and a character vector of three values:

l0 <- list(1, c(TRUE, FALSE), c("a", "b", "c"))
l0
## [[1]]
## [1] 1
## 
## [[2]]
## [1] TRUE FALSE
## 
## [[3...
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