Discovering Statistics Using R Epub
If you need an answer to the question “where to find Discovering Statistics Using R Epub”. Then you’ve come to the right place . You no longer need to engage in a futile search for Discovering Statistics Using R Epub for free as this EPUB book site brings you the answers to all your questions. At the Stuvera website you can get the Discovering Statistics Using R Epub for free and is easily accessible and all contains all relevant novels and information regarding his eBook.
About Discovering Statistics Using R Epub
The R version of Andy Field’s hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is enhanced by a cast of characters to help the reader on their way, hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more. (less)
About The Author
Andy Field is Professor of Child Psychopathology at the University of Sussex. He has published over 70 research papers, 27 book chapters, and 17 books mostly on child emotional development and statistics.
He is the founding editor of the Journal of Experimental Psychopathology and has been an associate editor and editorial board member for the British Journal of Mathematical and Statistical Psychology, Cognition and Emotion, Clinical Child and Family Psychology Review and Research Synthesis Methods.
His ability to make statistics accessible and fun has been recognized with local and national teaching awards (University of Sussex, 2001; the British Psychological Society, 2007), a prestigious UK National Teaching Fellowship (2010), and the British Psychological Society book award (2006). He adores cats, and loves to listen to and play very heavy music. He lives in Brighton with his wonderful wife Zoë and Fuzzy the cat. (less)