Items related to Statistics Using R
- PublisherCambridge University Press
- Publication date2023
- ISBN 10 1009400126
- ISBN 13 9781009400121
- BindingPaperback
- LanguageEnglish
- Edition number2
- Number of pages726
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Statistics Using R
Published by
Cambridge University Press, 2023
ISBN 10: 1009400126
ISBN 13: 9781009400121
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Statistics Using R : An Integrative Approach
Published by
Cambridge University Press, 2023
ISBN 10: 1009400126
ISBN 13: 9781009400121
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Statistics Using R
Published by
Cambridge University Press, 2023
ISBN 10: 1009400126
ISBN 13: 9781009400121
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paperback
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Statistics Using R : An Integrative Approach
Published by
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ISBN 10: 1009400126
ISBN 13: 9781009400121
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Statistics Using R
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ISBN 10: 1009400126
ISBN 13: 9781009400121
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Statistics Using R
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Cambridge University Press, 2023
ISBN 10: 1009400126
ISBN 13: 9781009400121
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Statistics Using R : An Integrative Approach
Published by
Cambridge University Press, 2023
ISBN 10: 1009400126
ISBN 13: 9781009400121
Used
Softcover
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Statistics Using R
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Cambridge University Press, 2023
ISBN 10: 1009400126
ISBN 13: 9781009400121
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Statistics Using R
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Cambridge University Press, 2023
ISBN 10: 1009400126
ISBN 13: 9781009400121
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Statistics Using R (Paperback)
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Cambridge University Press, Cambridge, 2023
ISBN 10: 1009400126
ISBN 13: 9781009400121
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Paperback. Condition: new. Paperback. Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods. Using an engaging and accessible writing style, this textbook seamlessly integrates the learning of R with an introduction to applied statistics using real data. It is comprehensive in its content coverage, is suitable for undergraduate and graduate levels, and requires no prior coding experience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781009400121
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