Daniel H. Baker Research Methods Using R (Paperback) (UK IMPORT)All Tariffs and Duties included - no additional charges

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Item Weight: 690g Title: Research Methods Using R Item Width: 16mm Publication Name: Research Methods Using R Publisher: Oxford University Press Author: Daniel H. Baker Subtitle: Advanced Data Analysis in the Behavioural and Biological Sciences ISBN-10: 0192896598 ISBN: 9780192896599 Book Title: Research Methods Using R Item Length: 190mm Genre: Science Nature & Math Item Height: 246mm Country of Origin: UK Language: English Topic: Society & Culture Release Date: 03/21/2022 EAN: 9780192896599 width: 16mm Format: Paperback Release Year: 2022 height: 246mm

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Daniel H. Baker Research Methods Using R (Paperback) (UK IMPORT). Readers are also presented with opportunities to try analysis techniques for themselves. The author also provides datasets online which students can use to practise their new skills. Author: Daniel H. Baker. Further DetailsTitle: Research Methods Using R Condition: New Author: Daniel H. Baker Publisher: Oxford University Press Subtitle: Advanced Data Analysis in the Behavioural and Biological Sciences ISBN-10: 0192896598 EAN: 9780192896599 Format: Paperback ISBN: 9780192896599 Release Date: 03/21/2022 Language: English Item Height: 246mm Item Length: 190mm Genre: Science Nature & Math Topic: Society & Culture Description: Providing complete coverage of advanced research methods for undergraduates, Daniel H. Baker supports students in their mastery of more advanced research methods and their application in R. This brand new title brings together coverage of a variety of topics for readers with basic statistical knowledge. It begins with material on the fundamental tools - nonlinear curve fitting and function optimization, stochastic methods, and Fourier (frequency) analysis - before leading readers on to more specialist content - bivariate and multivariate statistics, Bayesian statistics, and machine learning methods. Several chapters also discuss methods that can be used to improve research practises, including power analysis, meta-analysis, reproducible data analysis.Written to build a student's confidence with using R in a step-by-step way, early chapters present the essentials, ensuring that the content is accessible to those that have never programmed before. By giving them a feel for how the software works in practice, students are gradually introduced to simple examples of techniques before building up to more detailed implementations demonstrated in worked examples. Readers are also presented with opportunities to try analysis techniques for themselves. Practice questions are presented at the end of each chapter with answer guidance supplied in the book, while multiple-choice-questions with instant feedback can be accessed online. The author also provides datasets online which students can use to practise their new skills. Digital formats and resourcesThis book is available for students and institutions to purchase in a variety of formats, and is supported by online resources.- The e-book offers a mobile experience and convenient access along with functionality, navigation features, and links that offer extra learning support. This book is accompanied by online resources including multiple-choice-questions with instant feedback, example code, and data files allowing students to run examples independently. Item Width: 16mm Item Weight: 690g Release Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.