R Object-oriented Programming: A practical guide to help you learn and understand the programming techniques necessary to exploit the full power of R

· Packt Publishing Ltd
Ebook
190
Pages
Tools

About this ebook

Key Features
    Book DescriptionThis 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 objectoriented programming in R
    Who this book is for

    Key Features Book DescriptionThis 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 advance...

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    About the author

    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.

    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...

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