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Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist
book

Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist

by Thomas Mailund
June 2022
Beginner
528 pages
10h 39m
English
Apress
Content preview from Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist
© Thomas Mailund 2022
T. MailundBeginning Data Science in R 4https://doi.org/10.1007/978-1-4842-8155-0_12

12. Object-Oriented Programming

Thomas Mailund1  
(1)
Aarhus, Denmark
 

In this chapter, we look at R’s flavor of object-oriented programming. Actually, R has three different systems for object-oriented programming: S3, S4, and RC. We will only look at S3, which is the simplest and (as far as I know) the most widely used.

Immutable Objects and Polymorphic Functions

Object orientation in S3 is quite different from what you might have seen in Java or Python or that class of languages. Naturally so, since data in R is immutable and the underlying model in OO in languages such as Java and Python is that you have objects with states that you can call methods ...

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