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You're reading from  Learning R Programming

Product typeBook
Published inOct 2016
Reading LevelBeginner
PublisherPackt
ISBN-139781785889776
Edition1st Edition
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Kun Ren
Kun Ren
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Kun Ren

Kun Ren has used R for nearly 4 years in quantitative trading, along with C++ and C#, and he has worked very intensively (more than 8-10 hours every day) on useful R packages that the community does not offer yet. He contributes to packages developed by other authors and reports issues to make things work better. He is also a frequent speaker at R conferences in China and has given multiple talks. Kun also has a great social media presence. Additionally, he has substantially contributed to various projects, which is evident from his GitHub account: https://github.com/renkun-ken https://cn.linkedin.com/in/kun-ren-76027530 http://renkun.me/ http://renkun.me/formattable/ http://renkun.me/pipeR/ http://renkun.me/rlist/
Read more about Kun Ren

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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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Learning R Programming
Published in: Oct 2016Publisher: PacktISBN-13: 9781785889776

Author (1)

author image
Kun Ren

Kun Ren has used R for nearly 4 years in quantitative trading, along with C++ and C#, and he has worked very intensively (more than 8-10 hours every day) on useful R packages that the community does not offer yet. He contributes to packages developed by other authors and reports issues to make things work better. He is also a frequent speaker at R conferences in China and has given multiple talks. Kun also has a great social media presence. Additionally, he has substantially contributed to various projects, which is evident from his GitHub account: https://github.com/renkun-ken https://cn.linkedin.com/in/kun-ren-76027530 http://renkun.me/ http://renkun.me/formattable/ http://renkun.me/pipeR/ http://renkun.me/rlist/
Read more about Kun Ren