A handbook of the R statistical programming language, this volume provides a roadmap for the R language and programming environment, pointing readers to further resources and documentation.

This Brief provides a roadmap for the R language and programming environment with signposts to further resources and documentation.

Covers everyday use of R: data manipulation, modelling and testing Comprehensive pointers to the wide range of on-line material Structured examples to help the user become familiar with R Includes supplementary material: sn.pub/extras

Autorentext
Mike Allerhand is an experienced statistician with a research background in numerical analysis and statistical pattern recognition, and substantial experience of statistical support and teaching. Statistician, (Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh). Since 2009 Statistician at the Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh.

Inhalt
Introduction to R.- Data Structures.- Tables and Graphs.- Hypothesis Tests.- Linear Models.