Book Image

Mastering Data analysis with R

By : Gergely Daróczi
Book Image

Mastering Data analysis with R

By: Gergely Daróczi

Overview of this book

Table of Contents (19 chapters)
Mastering Data Analysis with R
Credits
www.PacktPub.com
Preface

Transposing matrices


One of the most used, but often not mentioned, methods for restructuring data is transposing matrices. This simply means switching the columns with rows and vice versa, via the t function:

> (m <- matrix(1:9, 3))
     [,1] [,2] [,3]
[1,]    1    4    7
[2,]    2    5    8
[3,]    3    6    9
> t(m)
     [,1] [,2] [,3]
[1,]    1    2    3
[2,]    4    5    6
[3,]    7    8    9

Of course, this S3 method also works with data.frame, and actually, with any tabular object. For more advanced features, such as transposing a multi-dimensional table, take a look at the aperm function from the base package.