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Getting Started with RAn Introduction for Biologists$
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Andrew Beckerman, Dylan Childs, and Owen Petchey

Print publication date: 2017

Print ISBN-13: 9780198787839

Published to Oxford Scholarship Online: March 2017

DOI: 10.1093/acprof:oso/9780198787839.001.0001

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Introducing Statistics in R

Introducing Statistics in R

Chapter:
(p.93) 5 Introducing Statistics in R
Source:
Getting Started with R
Author(s):

Andrew P. Beckerman

Dylan Z. Childs

Owen L. Petchey

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198787839.003.0005

Here we cover how to do some basic statistical tests in R, including the t-test, chi-square contingency table analysis, simple linear regression, and a one-way ANOVA. We offer a robust, reliable, and appropriate workflow for using R to solve quantitative problems, including model construction and diagnostics/assumptions checking. We apply this workflow to four analyses, in each case focusing on how to make R do the statistical test necessary to answer a biological question, and how to interpret the results provided by R in the light of the question. You learn how to clearly and efficiently visualize and communicate the outcome of your statistical tests.

Keywords:   Statistics, chi-squared, t-test, assumptions, diagnostics, regression, ANOVA, interpret, communicate

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