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Efficient R Programming (A Practical Guide to Smarter Programming)

List Price: $39.99
SKU:
9781491950784
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  • Product Details

    Author:
    Colin Gillespie, Robin Lovelace
    Format:
    Paperback
    Pages:
    219
    Publisher:
    O'Reilly Media (January 31, 2017)
    Language:
    English
    ISBN-13:
    9781491950784
    ISBN-10:
    1491950781
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251022163324-20251022.xml
    Folder:
    TWO RIVERS
    List Price:
    $39.99
    As low as:
    $34.39
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Case Pack:
    18
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    11.2oz
    Imprint:
    O'Reilly Media
  • Overview

    There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code.

    Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming.

    • Get advice for setting up an R programming environment
    • Explore general programming concepts and R coding techniques
    • Understand the ingredients of an efficient R workflow
    • Learn how to efficiently read and write data in R
    • Dive into data carpentry—the vital skill for cleaning raw data
    • Optimize your code with profiling, standard tricks, and other methods
    • Determine your hardware capabilities for handling R computation
    • Maximize the benefits of collaborative R programming
    • Accelerate your transition from R hacker to R programmer