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Statistics : an introduction using R

""...I know of no better book of its kind..."" (Journal of the Royal Statistical Society, Vol 169 (1), January 2006) 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 likel.

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  • """...I know of no better book of its kind..."" (Journal of the Royal Statistical Society, Vol 169 (1), January 2006) 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 likel."@en
  • ""...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006) 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 awide range of disciplines. Step-by-step instructionshelp 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."
  • "Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling."@en

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  • "Lehrbuch"
  • "Online-Publikation"
  • "Leermiddelen (vorm)"
  • "Electronic books"
  • "Electronic books"@en
  • "Livres électroniques"
  • "Textbooks"
  • "Textbooks"@en

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  • "Statistics An Introduction using R"
  • "Statistics An Introduction Using R"
  • "Statistics : An Introduction Using R"
  • "Statistics : an introduction using R"
  • "Statistics : an introduction using R"@en
  • "Statistik mit R"@en
  • "Statistik mit R"
  • "Statistics an introduction using R"
  • "Statistics an introduction using R"@en

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