Discovering statistics using R - Info and Reading Options
By Andy P. Field

"Discovering statistics using R" was published by Sage in 2012 - London, it has 957 pages and the language of the book is English.
“Discovering statistics using R” Metadata:
- Title: Discovering statistics using R
- Author: Andy P. Field
- Language: English
- Number of Pages: 957
- Publisher: Sage
- Publish Date: 2012
- Publish Location: London
“Discovering statistics using R” Subjects and Themes:
- Subjects: ➤ Statistical methods - Statistics - R (Computer program language) - open_syllabus_project - Computer programs - Social sciences - Spss (computer program) - Social sciences, statistical methods - Programming languages (electronic computers) - R (Programspråk) - Statistik - Deskriptiv statistik - Regressionsanalys - Korrelationsanalys - Samhällsvetenskap - Statistiska metoder - Datorprogram - 70.03 methods, techniques and organization of social science research - Ciències socials - Mètodes estadístics - Programes d'ordinador - Estadistica - R (Llenguatge de programació) - Medical Informatics - Methods - Programming Languages - Biostatistics
Edition Specifications:
- Pagination: xxxiv, 957 p. :
Edition Identifiers:
- The Open Library ID: OL25386809M - OL16716974W
- Online Computer Library Center (OCLC) ID: 760970657
- Library of Congress Control Number (LCCN): 2012419528
- ISBN-13: 9781446200469 - 9781446200452
- ISBN-10: 1446200469 - 1446200450
- All ISBNs: 1446200469 - 1446200450 - 9781446200469 - 9781446200452
AI-generated Review of “Discovering statistics using R”:
"Discovering statistics using R" Description:
The Open Library:
"Hot on the heels of the award-winning and best selling Discovering Statistics Using SPSS Third Edition, Andy Field has teamed up with Jeremy Miles (co-author of Discovering Statistics Using SAS) to write Discovering Statistics Using R. Keeping the uniquely humorous and self-depreciating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using the freeware R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioral sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next the importance of exploring and graphing data will be discovered, before moving onto statistical tests that are the foundations of the rest of the book (for e.g. correlation and regression). Readers will then stride confidently into intermediate level analyses such as ANOVA, before ending their journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help the reader gain the necessary conceptual understanding of what they're doing, the emphasis is on applying what's learned to playful and real-world examples that should make the experience more fun than expected."--Publisher's website.
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