Applied Statistics with R

Answers to these problems and the associated code can be found on Github https://github.com/jtouchon/Applied-Statistics-with-R . 1. Modify the final version of the function we wrote ( pred TrialSim ) to include another argument which ...

Applied Statistics with R

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.

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Applied Statistics with R
Language: en
Pages: 304
Authors: Justin C. Touchon
Categories: Science
Type: BOOK - Published: 2021-06-30 - Publisher: Oxford University Press

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
Applied Multivariate Statistics with R
Language: en
Pages: 393
Authors: Daniel Zelterman
Categories: Medical
Type: BOOK - Published: 2015-08-03 - Publisher: Springer

This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays, linear algebra, univariate, bivariate
Introductory Statistics with R
Language: en
Pages: 364
Authors: Peter Dalgaard
Categories: Mathematics
Type: BOOK - Published: 2008-08-15 - Publisher: Springer Science & Business Media

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the
Modern Applied Statistics with S
Language: en
Pages: 498
Authors: W.N. Venables, B.D. Ripley
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on presenting practical problems and full analyses of real data sets.
R Companion to Elementary Applied Statistics
Language: en
Pages: 358
Authors: Christopher Hay-Jahans
Categories: Mathematics
Type: BOOK - Published: 2019-01-02 - Publisher: CRC Press

The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some additional methods that address questions that might arise during or after the application of commonly used methods. Beginning with basic tasks and computations with R, readers are then guided through ways