Statistics: an introduction using R

Description

"A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R This new edition of a bestselling title 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 like t--tests and chi--squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. Includes numerous worked examples and exercises within each chapter"--Publisher's website.;Fundamentals -- Dataframes -- Central tendency -- Variance -- Single samples -- Two samples -- Regression -- Analysis of variance -- Analysis of covariance -- Multiple regression -- Contrasts -- Other response variables -- Count data -- Proportion data -- Binary response variable -- Death and failure data -- Appendix: Essentials of the R language. Fundamentals -- Dataframes -- Central tendency -- Variance -- Single samples -- Two samples -- Regression -- Analysis of variance -- Analysis of covariance -- Multiple regression -- Contrasts -- Other response variables -- Count data -- Proportion data -- Binary response variable -- Death and failure data -- Appendix: Essentials of the R language.