Applied Statistics with R : A Practical Guide for the Life Sciences by Justin C. Touchon (2021, Trade Paperback)

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About this product

Product Identifiers

PublisherOxford University Press, Incorporated

ISBN-100198869339

ISBN-139780198869337

eBay Product ID (ePID)9050025789

Product Key Features

Number of Pages336 Pages

LanguageEnglish

Publication NameApplied Statistics with R : a Practical Guide for the Life Sciences

Publication Year2021

SubjectLife Sciences / General, Life Sciences / Biology

TypeTextbook

Subject AreaScience

AuthorJustin C. Touchon

FormatTrade Paperback

Dimensions

Item Height0.7 in

Item Weight22 Oz

Item Length9.5 in

Item Width6.7 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2021-934831

Dewey Edition23

Reviews"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, "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-Universit¨at Frankfurt am Main, Germany, ISBE Newsletter Vol 36, Applied Statistics with R will keep you engaged with its humor and humility while teaching the fundamentals of modern biological data analysis., "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, "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-Universit"at Frankfurt am Main, Germany, ISBE Newsletter Vol 36

IllustratedYes

Dewey Decimal570.1/5195

Table Of ContentPreface1. Introduction to R2. Before You Begin (aka Thoughts on Proper Data Analysis)3. Exploratory Data Analysis and Data Summarization4. Introduction to Plotting5. Basic Statistical Analyses using R6. More Linear Models in R!7. Generalized Linear Models8. Mixed Effects Models9. Advanced Data Wrangling and Plotting10. Writing Loops and Functions in R11. Final Thoughts

SynopsisThis 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., The statistical analyses that students of the life-sciences are being expected to perform are becoming increasingly advanced. Whether at the undergraduate, graduate, or post-graduate level, this book provides the tools needed to properly analyze your data in an efficient, accessible, plainspoken, frank, and occasionally humorous manner, ensuring that readers come away with the knowledge of which analyses they should use and when they should use them. The 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. Indeed, early chapters are specifically designed to teach basic data manipulation skills and build good habits in preparation for learning more advanced analyses. This approach also demonstrates the importance of viewing data through different lenses, facilitating an easy and natural progression from linear and generalized linear models through to mixed effects versions of those same analyses. Readers will also learn advanced plotting and data-wrangling techniques, and gain an introduction to writing their own functions. Applied Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners throughout the life-sciences, whether in the fields of ecology, evolution, environmental studies, or computational biology., The statistical analyses that students of the life-sciences are being expected to perform are becoming increasingly advanced. Whether at the undergraduate, graduate, or post-graduate level, this book provides the tools needed to properly analyze your data in an efficient, accessible, plainspoken, frank, and occasionally humorous manner, ensuring that readers come away with the knowledge of which analyses they should use and when they should use them.The 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. Indeed, early chapters are specifically designed to teach basic data manipulation skills and build good habits in preparation for learning more advanced analyses. This approach also demonstrates the importance of viewing data through different lenses, facilitating an easy and natural progression from linear and generalized linear models through to mixed effects versions of those same analyses. Readers will also learn advanced plotting and data-wrangling techniques, and gain an introduction to writing their own functions.Applied Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners throughout the life-sciences, whether in the fields of ecology, evolution, environmental studies, or computational biology.

LC Classification NumberQH323.5