Book Image

Learning R Programming

By : Kun Ren
Book Image

Learning R Programming

By: Kun Ren

Overview of this book

R is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and consistent understanding of the language. Through hands-on examples you'll discover powerful R tools, and R best practices that will give you a deeper understanding of working with data. You'll get to grips with R's data structures and data processing techniques, as well as the most popular R packages to boost your productivity from the offset. Start with the basics of R, then dive deep into the programming techniques and paradigms to make your R code excel. Advance quickly to a deeper understanding of R's behavior as you learn common tasks including data analysis, databases, web scraping, high performance computing, and writing documents. By the end of the book, you'll be a confident R programmer adept at solving problems with the right techniques.
Table of Contents (21 chapters)
Learning R Programming
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Working with R6


An enhanced version of RC is R6, a package that implements a more efficient reference class that supports public and private fields and methods, and some other powerful features.

Run the following code to install the package:

install.packages("R6") 

The R6 class allows us to define classes that are even more like popular object-oriented programming languages. The following code is an example where we define the Vehicle class. It has some public fields and methods for users and some private fields and methods for internal use:

library(R6) 
Vehicle <- R6Class("Vehicle",  
  public = list( 
    name = NA, 
    model = NA, 
    initialize = function(name, model) { 
      if (!missing(name)) self$name <- name 
      if (!missing(model)) self$model <- model 
    }, 
    move = function(movement) { 
      private$start() 
      private$position <- private$position + movement 
      private$stop() 
  ...