Object-Oriented Programming with S3 and R6 in R

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
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4 Hours18 Videos56 Exercises13,057 Learners
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Course Description

Object-oriented programming (OOP) lets you specify relationships between functions and the objects that they can act on, helping you manage complexity in your code. This is an intermediate level course, providing an introduction to OOP, using the S3 and R6 systems. S3 is a great day-to-day R programming tool that simplifies some of the functions that you write. R6 is especially useful for industry-specific analyses, working with web APIs, and building GUIs. The course concludes with an interview with Winston Chang, creator of the R6 package.

  1. 1

    Introduction to Object-Oriented Programming

    Free
    Learn what object-oriented programming (OOP) consists of, when to use it, and what OOP systems are available in R. You'll also learn how R identifies different types of variable, using classes, types, and modes.
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  2. 2

    Using S3

    S3 is a very simple object-oriented system that lets you define different behavior for functions, depending upon their input argument. This chapter explains how to use S3, and how generics and methods work.
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  3. 3

    Using R6

    Learn how to define R6 classes, and to create R6 objects. You'll also learn about the structure of R6 classes, and how to separate the user interface from the implementation details.
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  4. 4

    R6 Inheritance

    Learn how to inherit from an R6 class, and how the relationship between parent and child classes works.
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  5. 5

    Advanced R6 Usage

    Complete your mastery of R6 by learning about advanced topics such as copying by reference, shared fields, cloning objects, and finalizing objects. The chapter concludes with an interview with Winston Chang, creator of the R6 package.
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R Programmer
Richie Cotton Headshot

Richie Cotton

Curriculum Architect at DataCamp
Richie is a Learning Solutions Architect at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R packages on CRAN and Bioconductor – most famously the assertive suite of packages – as well as creating and contributing to many others. He also has written two books on R programming, Learning R and Testing R Code.
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