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2021 | OriginalPaper | Chapter

2. R Basics

Author : Paulo Cortez

Published in: Modern Optimization with R

Publisher: Springer International Publishing

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Abstract

This chapter presents the necessary knowledge for non-R-experts to understand and test the book code examples. First, more basic knowledge is introduced, namely objects and functions, how to control execution, and how to import and export data. Then, more advanced features are discussed, including command line execution, parallel computing, interfacing with other computer languages, and interactive web applications.

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Footnotes
1
Although the <- operator is commonly used in R, this book adopts the smaller = character.
 
2
For C language users, there is also the sprintf function (e.g., sprintf( "float: % .2f string: % s",pi,"pi") ).
 
Literature
Cortez P, Morais A (2007) A data mining approach to predict forest fires using meteorological data. In: Neves J et al (ed) New trends in artificial intelligence, 13th EPIA 2007 – Portuguese conference on artificial intelligence, APPIA, Guimarães, pp 512–523
Ihaka R, Gentleman R (1996) R: a language for data analysis and graphics. J Comput Graph Stat 5(3):299–314
Zuur A, Ieno E, Meesters E (2009) A beginner’s guide to R. Springer, New YorkCrossRef
Metadata
Title
R Basics
Author
Paulo Cortez
Copyright Year
2021
Book
Modern Optimization with R

Print ISBN: 978-3-030-72818-2

Electronic ISBN: 978-3-030-72819-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-72819-9_2

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