Full Product Details
Author: Mark Andrews
Publisher: Sage Publications Ltd
Imprint: Sage Publications Ltd
Weight: 1.090kg
ISBN: 9781526486776
ISBN 10: 1526486776
Pages: 640
Publication Date: 31 March 2021
Audience:
College/higher education
,
Tertiary & Higher Education
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
This book will be extremely useful for advanced UG's along with those on PGT courses. It will also be an excellent handbook for PGR students. It's perfect for those taking their first serious steps into becoming actively involved in research employing tools in R. -- Eugene McSorley Mark Andrews has written a must-read primer for anyone using statistical techniques in their research. From introductory through to advanced techniques, an easy, intuitive and example driven book sure to get you the right answer. -- Jason Hay Doing Data science in R: An introduction for Social Scientists is one of the best available books to learn how to conduct serious empirical research via rigorous methods and techniques. The text is illustrated with many examples written in R and Stan, and is ideal either as a textbook or for self-study. -- Roula Nezi
This book will be extremely useful for advanced UG’s along with those on PGT courses. It will also be an excellent handbook for PGR students. It’s perfect for those taking their first serious steps into becoming actively involved in research employing tools in R. -- Eugene McSorley Mark Andrews has written a must-read primer for anyone using statistical techniques in their research. From introductory through to advanced techniques, an easy, intuitive and example driven book sure to get you the right answer. -- Jason Hay Doing Data science in R: An introduction for Social Scientists is one of the best available books to learn how to conduct serious empirical research via rigorous methods and techniques. The text is illustrated with many examples written in R and Stan, and is ideal either as a textbook or for self-study. -- Roula Nezi
Doing Data science in R: An introduction for Social Scientists is one of the best available books to learn how to conduct serious empirical research via rigorous methods and techniques. The text is illustrated with many examples written in R and Stan, and is ideal either as a textbook or for self-study. -- Roula Nezi Mark Andrews has written a must-read primer for anyone using statistical techniques in their research. From introductory through to advanced techniques, an easy, intuitive and example driven book sure to get you the right answer. -- Jason Hay This book will be extremely useful for advanced UG's along with those on PGT courses. It will also be an excellent handbook for PGR students. It's perfect for those taking their first serious steps into becoming actively involved in research employing tools in R. -- Eugene McSorley
Author Information
Mark Andrews (PhD) is Senior Lecturer in the Department of Psychology in Nottingham Trent University. There, he specializes in teaching statistics and data science at all levels from undergraduate to PhD level. Currently, he is the Chair of the British Psychological Society’s Mathematics, Statistics, and Computing section. Between 2015 and 2018, Dr Andrews was funded by the UK’s Economic and Social Research Council (ESRC) to provide advanced training workshop on Bayesian data analysis to UK based researchers at PhD level and beyond in the social sciences. Dr Andrews’s background is in computational cognitive science, particularly focused Bayesian models of human cognition. He has a PhD in Cognitive Science from Cornell University, and was a postdoctoral researcher in the Gatsby Computational Neuroscience Unit in UCL and also in the Department of Psychology in UCL.
