Discovering statistics using R / Andy Field, Jeremy Miles, Zoë Field ; cover design by Wendy Scott.
Material type:
Item type | Current library | Shelving location | Call number | Status | Date due | Barcode |
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Books | MEF Üniversitesi Kütüphanesi | Genel Koleksiyon | HA 32 .F537 2012 (Browse shelf (Opens below)) | Available | 0019830 |
Browsing MEF Üniversitesi Kütüphanesi shelves, Shelving location: Genel Koleksiyon Close shelf browser (Hides shelf browser)
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HA 29 .P75 2015 Statistics for the behavioral sciences / | HA 29.5 .T8 B35 2016 Meta-analiz / | HA 31.3 .H39 2013 xIntroduction to mediation, moderation, and conditional process analysis : a regression-based approachi / | HA 32 .F537 2012 Discovering statistics using R / | HA 32 .F54 2013 Discovering statistics using IBM SPSS statistics : and sex and drugs and rock 'n' roll / | HA 32 .F54 2013 Discovering statistics using IBM SPSS statistics : and sex and drugs and rock 'n' roll / | HA 32 .F55 2018 Discovering statistics using IBM SPSS statistics / |
Includes bibliographical references (pages 941-947) and index (pages 948-957).
"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.