Introduction to Nonparametric Statistics for the Biological Sciences Using R

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Mathematics, Computers, Application Software
Cover of the book Introduction to Nonparametric Statistics for the Biological Sciences Using R by Thomas W. MacFarland, Jan M. Yates, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Thomas W. MacFarland, Jan M. Yates ISBN: 9783319306346
Publisher: Springer International Publishing Publication: July 6, 2016
Imprint: Springer Language: English
Author: Thomas W. MacFarland, Jan M. Yates
ISBN: 9783319306346
Publisher: Springer International Publishing
Publication: July 6, 2016
Imprint: Springer
Language: English

This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences:

  • To introduce when nonparametric approaches to data analysis are appropriate

  • To introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each test

  • To introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set

The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences:

The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.

More books from Springer International Publishing

Cover of the book Materials Research for Manufacturing by Thomas W. MacFarland, Jan M. Yates
Cover of the book Existence and Machine by Thomas W. MacFarland, Jan M. Yates
Cover of the book Synthesizable VHDL Design for FPGAs by Thomas W. MacFarland, Jan M. Yates
Cover of the book Green Photonics and Electronics by Thomas W. MacFarland, Jan M. Yates
Cover of the book Fractional-Order Devices by Thomas W. MacFarland, Jan M. Yates
Cover of the book Multiple Time Scale Dynamics by Thomas W. MacFarland, Jan M. Yates
Cover of the book Advances in Information and Communication by Thomas W. MacFarland, Jan M. Yates
Cover of the book God and Ultimate Origins by Thomas W. MacFarland, Jan M. Yates
Cover of the book International Farm Animal, Wildlife and Food Safety Law by Thomas W. MacFarland, Jan M. Yates
Cover of the book Visible and Invisible Whiteness by Thomas W. MacFarland, Jan M. Yates
Cover of the book Genetics and Genomics of Setaria by Thomas W. MacFarland, Jan M. Yates
Cover of the book Why Youth Vote by Thomas W. MacFarland, Jan M. Yates
Cover of the book Quaternary Geomorphology in India by Thomas W. MacFarland, Jan M. Yates
Cover of the book Universities as Agencies by Thomas W. MacFarland, Jan M. Yates
Cover of the book Hot Carrier Degradation in Semiconductor Devices by Thomas W. MacFarland, Jan M. Yates
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy