 Название: Applied Statistics: Methods Using R
Автор: Jürgen Hedderich, Lothar Sachs
Издательство: Springer
Год: 2024
Страниц: 1056
Язык: английский
Формат: pdf (true)
Размер: 22.8 MB
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. R was originally developed by Ross Ihaka and Robert Gentleman at the Statistics Department of the University of Auckland. Currently, the program is maintained and further developed by an international working group, the "R Development Core Team". R is developed under the "GNU general public license" and can therefore be freely downloaded from the Internet. "CRAN" stands for "Comprehensive R Archive Network" and is a global network through which the programs are provided in source code and as binary files for various computer platforms (incl. Windows and Unix).
Some decisive reasons for using the R program in statistical data analysis are:
• 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.
• R is freely available and can be installed under the widely used operating systems, especially Windows and Linux.
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Applied Statistics: Methods Using R 
