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R Object-Oriented Programming, by Kelly Black
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A practical guide to help you learn and understand the programming techniques necessary to exploit the full power of RAbout This Book
- Learn and understand the programming techniques necessary to solve specific problems and speed up development processes for statistical models and applications
- Explore the fundamentals of building objects and how they program individual aspects of larger data designs
- Step-by-step guide to understand how OOP can be applied to application and data models within R
This book is designed for people with some experience in basic programming practices. It is also assumed that they have some basic experience using R and are familiar using the command line in an R environment. Our primary goal is to raise a beginner to a more advanced level to make him/her more comfortable creating programs and extending R to solve common problems.
What You Will Learn- Understand the fundamental data types and data structures in R
- Explore the basic commands and tools to aid in addressing common tasks
- Use the primary control structures in R to implement algorithms
- Use and develop S3 and S4 classes
- Discover the differences between S3 and S4 classes
- Bring different ideas together to solve common problems
- Understand the fundamental design and approach to object-oriented programming in R
R is best suited to produce data and visual analytics through customizable scripts and commands, instead of typical statistical tools that provide tick boxes and drop-down menus for users. The book is divided into three parts to help you perform these steps. It starts by providing you with an overview of the basic data types, data structures, and tools available in R that are used to solve common tasks. It then moves on to offer insights and examples on object-oriented programming with R; this includes an introduction to the basic control structures available in R with examples. It also includes details on how to implement S3 and S4 classes. Finally, the book provides three detailed examples that demonstrate how to bring all of these ideas together.
- Sales Rank: #1537056 in Books
- Published on: 2014-10-23
- Released on: 2014-10-27
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .43" w x 7.50" l, .74 pounds
- Binding: Paperback
- 190 pages
About the Author
Kelly Black
Kelly Black is a faculty member in the Department of Mathematics at Clarkson University. His background is in numerical analysis with a focus on the use of spectral methods and stochastic differential equations. He makes extensive use of R in the analysis of the results of Monte-Carlo simulations. In addition to using R for his research interests, Kelly also uses the R environment for his statistics classes. He has extensive experience sharing his experiences with R in the classroom. The use of R to explore datasets is an important part of the curriculum.
Most helpful customer reviews
4 of 4 people found the following review helpful.
Good value for Money! A quick way to learn harness the full power of R.
By fabio veronesi
Overall, I think this book does a good of providing the reader with a strong and neat introduction to all the bits of coding required to become more comfortable writing advance scripts. It covers aspects of the R language that are often overlooked by introductory books.
For example, it provides an extensive overview with two well written examples on the use of S3 and S4 classes. In the examples, the reader uses all the programming skills learning from the book to produce R programs to solve very practical task, such as grade students and performing a Monte Carlo simulation. In these programs the reader will add functions and methods to read files and perform statistical analysis, while creating R programs that can easily be shared with other users.
Another aspect that I found interesting it the focus on web data. Nowadays lots of data are gathered from the web directly or using APIs. This book provides a good introduction to read, write and manipulate such data and therefore I think it is potentially very useful for the future generations of R users.
The book is targeted to post-beginners, therefore people already familiar with R or at least familiar with other object-oriented programming languages. However, I think such a book is very good value for money because it is structure in such a way that it become very easy to look-up functions and commands that maybe we do not use every day and therefore we forgot how to use. I think I will consult this book on a regular basis for my work!
For my full review please look at: http://r-video-tutorial.blogspot.com/2014/11/r-object-oriented-programming-book.html
1 of 1 people found the following review helpful.
Good book to have!
By Arnold Salvacion
Recently, Packt Publishing publish the book R Object-oriented Programming. The eleven chapter book covers from basic data types in R to a more advanced method such as simulation and writing functions. Different data types (i.e. integer, character, factor) are discussed in-depth in the book as well as numeric and string operations. The good thing with it is that it walks the reader from simple to complicated topic making it easier to learn the language. There are two chapters dedicated in discussing about S3 and S4 classes which are not commonly found published books about R. The last two chapters of the book are dedicated case studies wherein the reader can apply all the learnings from previous chapter. A very good book for beginners and basic users who want to advance their skill and explore the full potential of R as a programming language. Good book to have!
0 of 0 people found the following review helpful.
Concise. Good intro to S4, but not for Reference Class
By Kyun-Seop Bae
I have used R for more than 15 years and taught R in my class for many years. This book is concise. This is a good book for both beginners and some advanced users (but who did not use S4 class). However, this book does not deal with Reference Class(RC) which is a conventional OO programming feature.
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