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R is a freely available, open-source statistical programming environment which provides powerful statistical analysis tools and graphics outputs. R is now used by a very wide range of people; biologists (the primary audience of this book), but also all other scientists and engineers, economists, market researchers and medical professionals. R users with expertise are constantly adding new associated packages, and the range already available is immense. Practical R for Biologists: An Introduction works through a set of studies that collectively represent almost all the R operations that biology students need in order to analyse their own data. The material is designed to serve students from first year undergraduates through to those beginning post graduate levels. Chapters are organized around topics such as graphing, classical statistical tests, statistical modelling, mapping, and text parsing. Examples are based on real scientific studies, and each one covers the use of more R functions than those simply necessary to get a p-value or plot. Collectively the authors have a vast amount of teaching experience which they apply here to make the passage into R programming as gentle and easy as possible, whilst guiding the reader to tackle quite complicated programming. 436 p.

 

Authors expertises affiliations

  • Donald L.J. Quicke. Professor in Biology. Imperial College London, South Kensington, London (UK).
  • Buntika Butcher. PhD; Currently Associate Professor in the Biology Department. Chulalongkorn University, Bangkok (Thailand).
  • Rachel A. Kruft Welton. PhD; Qualifying teacher in Biology; Biology and Science Tutor, including mentoring undergraduates as part of alumni scheme. Birmingham University, Birmingham (UK).

     
  • Publication dates: 2021-01 (print); 2020-12 (electronic format).

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