(PDF) R Cookbook by Paul Teetor ~ 9780596809157

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    R Cookbook
    Proven Recipes for Data Analysis, Statistics, and Graphics

    by Paul Teetor

    🔰 R Cookbook : Click Here 🔰

    • Genres: programming, reference, science, technical, computers, technology, mathematics, coding
    • Language: english
    • Author: Paul Teetor
    • ISBN: 9780596809157 (0596809158)
    • First published: January 1, 2011
    • Format: paperback, 413 pages
    • Release date: March 29, 2011
    • Publisher: O’Reilly Media

    About The Book

    With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.

    Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process.

    Create vectors, handle variables, and perform other basic functions

    Input and output data

    Tackle data structures such as matrices, lists, factors, and data frames

    Work with probability, probability distributions, and random variables

    Calculate statistics and confidence intervals, and perform statistical tests

    Create a variety of graphic displays

    Build statistical models with linear regressions and analysis of variance (ANOVA)

    Explore advanced statistical techniques, such as finding clusters in your data

    “Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language — one practical example at a time.” — Jeffrey Ryan, software consultant and R package author

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