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Learning R Programming

You're reading from  Learning R Programming

Product type Book
Published in Oct 2016
Publisher Packt
ISBN-13 9781785889776
Pages 582 pages
Edition 1st Edition
Languages
Author (1):
Kun Ren Kun Ren
Profile icon Kun Ren

Table of Contents (21) Chapters

Learning R Programming
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
1. Quick Start 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

Array


An array is a natural extension to a matrix in its number of dimensions. More specifically, an array is a vector that is represented and accessible in a given number of dimensions (mostly more than two dimensions).

If you are already familiar with vectors and matrices, you won't be surprised to see how arrays behave.

Creating an array

To create an array, we call array() by supplying a vector of data, how this data is arranged in different dimensions, and sometimes the names of the rows and columns of these dimensions.

Suppose we have some data (10 integers from 0 to 9) and we need to arrange them in three dimensions: 1 for the first dimension, 5 for the second, and 2 for the third:

a1 <- array(c(0, 1, 2, 3, 4, 5, 6, 7, 8, 9), dim = c(1, 5, 2))
a1
## , , 1
## 
##     [,1] [,2] [,3] [,4] [,5]
## [1,]  0    1    2    3    4
## 
## , , 2
## 
##     [,1] [,2] [,3] [,4] [,5]
## [1,]  5    6    7    8    9

We can clearly see how we can access these entries by looking at the notations...

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