The New Statistics with R, 9780198798187
Paperback
Modern stats in R: Ditch p-values, embrace estimation, unlock data.

The New Statistics with R

an introduction for biologists

$156.58

  • Paperback

    278 pages

  • Release Date

    6 September 2021

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Summary

Mastering Data Analysis with R: A Modern Approach

Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students. This accessible textbook provides an up-to-date introduction to the classical techniques and modern extensions of linear model analysis—one of the most useful approaches for investigating scientific data in the life and environmental sciences.

While some of the foundationa…

Book Details

ISBN-13:9780198798187
ISBN-10:0198798180
Author:Andy Hector
Publisher:Oxford University Press
Imprint:Oxford University Press
Format:Paperback
Number of Pages:278
Edition:2nd
Release Date:6 September 2021
Weight:546g
Dimensions:240mm x 168mm x 12mm
What They're Saying

Critics Review

Review from previous edition The book is suitable for undergraduate and graduate students, researchers and practitioners in biological sciences. I found it refreshing and worthy of wide use. * Basil Jarvis, The Biologist *[T]his book is of great interest … it is important to evaluate its value as a teaching tool for R for biologists. … [T]he book’s strength is that it takes an applied scientist through the necessary basic statistics, and shows step by step how to work with real data. The New Statistics with R is, furthermore, a great textbook for computer exercise sessions in any introductory statistical class (especially for the life sciences). With its help, one should be able to design a very attractive course for both applied and more theoretical students. * Krzysztof Bartoszek, Systematic Biology *… overall the book gives useful, ecumenical, and reliable statistical advice. I would recommend it for courses that are trying to equip students who already know elementary statistics with the basic tools they need to understand and perform analyses of real, messy data. * Ben Bolker, Quarterly Review of Biology *

About The Author

Andy Hector

Andy Hector is Professor of Ecology at the Department of Plant Sciences, Linacre College, University of Oxford, UK. He is Co-Director of the Plants for the Twenty-First Century Institute. He has convened and taught statistics on the Quantitative Methods for Biologists course for undergraduates. He is a community ecologist interested in biodiversity loss and its consequences for ecosystem functioning, stability and services and scientific PI of the SabahBiodiversity Experiment. He has contributed to several publications on ecological analysis.

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