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Statistics: An Introduction Using R, 2nd Edition
ISBN: 978-1-118-94109-6
November 2014
368 pages
A revised and updated edition of this bestselling introduction to statistical analysis using the leading free software package R
In recent years R has become one of the most popular, powerful and flexible statistical software packages available. It enables users to apply a wide variety of statistical methods, ranging from simple regression to generalized linear modelling, and has been widely adopted by life scientists and social scientists. This new edition offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-step instructions help the non-statistician to fully understand the methodology. The book covers the full range of statistical techniques likely to be needed to analyse the data from research projects, including elementary material such as t tests and chi-squared tests, intermediate methods such as regression and analysis of variance, and more advanced techniques such as generalized linear modelling. Numerous worked examples and exercises are included within each chapter.
Statistics: An introduction using R is primarily aimed at undergraduate students in medicine, engineering, economics and biology – but will also appeal to postgraduates in these areas who wish to switch to using R.