Description

Book Synopsis
This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life-sciences. Furthermore, by using a single, real-world dataset throughout the book, readers are encouraged to become deeply familiar with an imperfect but realistic set of data.

Trade Review
Applied Statistics with R will keep you engaged with its humor and humility while teaching the fundamentals of modern biological data analysis. * Morgan W. Tingley, The Quarterly Review of Biology *
This book excels at...taking away the fear of coding that seems to be an epidemic among students. It is written in a very conversational tone and the author explains every line of code, avoiding any technical language. * Julia Balogh, Goethe-Universität Frankfurt am Main, Germany, ISBE Newsletter Vol 36 *

Table of Contents
Preface 1: Introduction to R 2: Before You Begin (aka Thoughts on Proper Data Analysis) 3: Exploratory Data Analysis and Data Summarization 4: Introduction to Plotting 5: Basic Statistical Analyses using R 6: More Linear Models in R! 7: Generalized Linear Models 8: Mixed Effects Models 9: Advanced Data Wrangling and Plotting 10: Writing Loops and Functions in R 11: Final Thoughts

Applied Statistics with R A Practical Guide for

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Order before 4pm today for delivery by Fri 2 Jan 2026.

A Paperback / softback by Justin C. Touchon

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    View other formats and editions of Applied Statistics with R A Practical Guide for by Justin C. Touchon

    Publisher: Oxford University Press
    Publication Date: 01/07/2021
    ISBN13: 9780198869337, 978-0198869337
    ISBN10: 0198869339

    Description

    Book Synopsis
    This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life-sciences. Furthermore, by using a single, real-world dataset throughout the book, readers are encouraged to become deeply familiar with an imperfect but realistic set of data.

    Trade Review
    Applied Statistics with R will keep you engaged with its humor and humility while teaching the fundamentals of modern biological data analysis. * Morgan W. Tingley, The Quarterly Review of Biology *
    This book excels at...taking away the fear of coding that seems to be an epidemic among students. It is written in a very conversational tone and the author explains every line of code, avoiding any technical language. * Julia Balogh, Goethe-Universität Frankfurt am Main, Germany, ISBE Newsletter Vol 36 *

    Table of Contents
    Preface 1: Introduction to R 2: Before You Begin (aka Thoughts on Proper Data Analysis) 3: Exploratory Data Analysis and Data Summarization 4: Introduction to Plotting 5: Basic Statistical Analyses using R 6: More Linear Models in R! 7: Generalized Linear Models 8: Mixed Effects Models 9: Advanced Data Wrangling and Plotting 10: Writing Loops and Functions in R 11: Final Thoughts

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