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

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

by Thomas Mailund
March 2017
Beginner
352 pages
10h 24m
English
Apress
Content preview from Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

© Thomas Mailund 2017

Thomas Mailund, Beginning Data Science in R, 10.1007/978-1-4842-2671-1_10

10. Object Oriented Programming

Thomas Mailund1 

(1)Aarhus, Denmark

This chapter looks 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 (I believe) 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. 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 to change the state. You don’t have a state ...

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Publisher Resources

ISBN: 9781484226711Purchase book