Applied Statistics: Methods Using R by Jürgen Hedderich (.PDF)

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Applied Statistics: Methods Using R by Jürgen Hedderich, Lothar Sachs
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Overview: This standard work on statistical methods in life sciences and medicine provides easily understandable, illustrative, and practical guidance to students, lecturers and practitioners alike, covering all necessary methods for targeted and careful data collection, analysis, and evaluation. In addition to offering advice and recommendations on study planning and analysis, numerous examples, cross-references, further references and a detailed index provide a comprehensive approach to statistics. The consistent use of the freely available programming language R further facilitates the entry for curious users and practitioners. R is primarily a programming language and programming environment for the statistical analysis of data. R can perform elementary mathematical operations on the one hand, but on the other hand, it also calculates sophisticated complex statistical functions. The use of R is simple and largely intuitive. R shows great flexibility in dealing with statistical functions and can also be extended for special methods. The R program offers versatile possibilities for the graphical preparation of data and results.
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