Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Advanced R, Second Edition
Top Free Java Books 🌠 - 100% Free or Open Source!
  • Title: Advanced R, Second Edition
  • Author(s): Hadley Wickham
  • Publisher: Chapman and Hall/CRC; 2 edition (May 30, 2019); eBook (Creative Commons Licensed)
  • License(s): CC BY-NC-SA 4.0
  • Paperback: 604 pages
  • eBook: HTML
  • Language: English
  • ISBN-10: 0815384572
  • ISBN-13: 978-0815384571
  • Share This:  

Book Description

This book helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special.

It will teach you the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimising your code.

The second edition is a comprehensive update:

  • New foundational chapters: "Names and values," "Control flow," and "Conditions"
  • comprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them
  • Much deeper coverage of metaprogramming, including the new tidy evaluation framework
  • use of new package like rlang (rlang.r-lib.org), which provides a clean interface to low-level operations, and purr (purrr.tidyverse.org/) for functional programming
  • Use of color in code chunks and figures
About the Authors
  • Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Hands-On Programming with R: Functions and Simulations

    This book not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time.

  • R Programming for Data Science (Roger D. Peng)

    This book is about the fundamentals of R programming. Get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. You will have a solid foundation on data science toolbox.

  • R Graphics Cookbook: Practical Recipes for Visualizing Data

    This cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly - without having to comb through all the details of R's graphing systems.

  • An Introduction to R (Alex Douglas, et al.)

    The main aim of this book is to help you climb the initial learning curve and provide you with the basic skills and experience (and confidence!) to enable you to further your experience in using R.

  • Advanced R Solutions (Malte Grosser, et al)

    This book offers solutions to the exercises from Advanced R, 2nd Edition by Hadley Wickham. It is work in progress and under active development. The 2nd edition of Advanced R is in print now and we hope to provide most of the answers.

  • R for Data Science: Visualize, Model, Transform, Tidy, Import

    This book teaches you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualize it and model it, how data science can help you work with the uncertainty and capture the opportunities.

  • R Packages: Organize, Test, Document, and Share Your Code

    Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author's package development philosophy.

  • Efficient R Programming: Practical Guide to Smarter Programming

    This book is about increasing the amount of work you can do with R in a given amount of time. It's about both computational and programmer efficiency. This book is for anyone who wants to make their use of R more reproducible, scalable, and faster.

  • Cookbook for R: Best R Programming TIPs (Winston Chang)

    The goal of this cookbook is to provide solutions to common tasks and problems in analyzing data. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.

  • Advanced R (Florian Prive)

    This book aims at giving a wide understanding of many aspects of R. Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R's functionality.

Book Categories
:
Other Categories
Resources and Links