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Statistical testing with R : SECOND EDITION - Davis
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Statistical testing with R

SECOND EDITION

By: Davis (Editor)

Paperback | 1 June 2022 | Edition Number 2

At a Glance

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Features


  Worked examples from the behavioral and social sciences


  Clearly written, without mathematical formulae


  Well-structured, for beginners and intermediate readers


  Assumes no knowledge of R or programming ('coding')


  Comprehensive chapter on categorical analysis - not just 'Chi squared'


  Effect sizes and confidence intervals


  Clear explanation of factor analysis


  Covers MANOVA, cluster analysis, logistic regression, survival analysis and partial correlations


  Introduces Bayesian statistics


  Reproduces a well-received short chapter on making presentations


  Data sets, exercises and case studies on the website


Industry Reviews

R and statistics can frighten anyone. This book is a great resource for students and anyone else wanting to learn statistics and R. The author has a knack of explaining things in an easy and accessible way. Further, the book does not dwell on mathematical formulas, which many stats books do. So if you want to move beyond tools such as SPSS, then this is the book to get you started.


Dr Joshua Skoczylis, Senior Lecturer in Criminology and Counter-Terrorism Studies, University of Lincoln



This is a very clear, logically structured and comprehensive guide to statistical testing using R. With a worked example for every test, it coincidentally teaches the beginner the basics of programming in easy steps. Choosing the clearest methods, this is great for people in a hurry. Seriously recommended.


Aikaterini Kossaridou, Compliance Officer



A selection of reviews of previous statistics books by Cole Davis


Cole Davis presents the clearest explanations for the concepts underlying the most useful statistical tests. He provides great guidance on the steps required to perform the tests, and the justification for these steps. His writing flows yet he does not pass over difficult ideas with jargon, as is often the case with statistics books. Rather he supplies the reader with useful analogies and comparisons in everyday language that aid understanding.


Andrew Smart, neuroscientist and author of Autopilot


Cole Davis contributes significantly to the understanding of statistics; the clarity of his writing, his ability to explain statistical nuances shines through.


Steven Chan, Professor of Surgery, University of Melbourne



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