Statistics for Ecologists Using R and Excel (Data in the Wild) Paperback – 2 Jan 2012
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The text that I have found most helpful in getting back to using R has been Mark Gardener's Statistics for Ecologists Using R and Excel. This excellent little book leads the reader nicely through the basics. Starting with how to down load R and getting data into the programme through exploratory statistics and into basic analysis with a section on reporting results which includes visualising data. It also makes it easy for the reader to synthesise R and Excel and there is extra help and sample data available on the free companion webpage if needed. I recommended this text to the university library as well as to colleagues at my student workshops on R. Although I initially bought this book when I wanted to discover R I actually also learned new techniques for data manipulation and management in Excel. -- Mark Edwards EcoBlogging
About the Author
Mark Gardener (www.gardenersown.co.uk) is an ecologist, lecturer, and writer working in the UK. His primary area of research was in pollination ecology and he has worked in the UK and around the word (principally Australia and the United States). Since his doctorate he has worked in many areas of ecology, often as a teacher and supervisor. He believes that ecological data, especially community data, is the most complicated and ill-behaved and is consequently the most fun to work with. He was introduced to R by a like-minded pedant whilst working in Australia during his doctorate. Learning R was not only fun but opened up a new avenue, making the study of community ecology a whole lot easier. He is currently self-employed and runs courses in ecology, data analysis, and R for a variety of organizations. Mark lives in rural Devon with his wife Christine, a biochemist who consequently has little need of statistics.
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Statistics for Ecologists using R and Excel is an excellent replacement covering most of the standard tests I would expect an ecologist or marine biology student at the Centre for Environmental and Marine Sciences to be able to deal with by the end of their 1st year. The reader is led gently through each test in both Excel and R with the assistance of screen shots of relevant examples. I particularly like the emphasis on the basics (planning, data recording, exploring data (looking at numbers and graphs) and reporting results. There is some particularly good advice on transforming data. Most of the tests you expect to see are covered: t-tests, correlation, ANOVAs, regression and the non-parametric equivalents. The author is plainly an ecologist with lots of teaching experience rather than a mathematician! Another feature that I like is the fact that you don't have to flip backwards and forwards through the pages to attempt each test - all of the information you need for each one is in each section. The only criticism I have of the book is that Multi Variate Analyses are not mentioned.
I recommend this text to any undergraduate or tutor that teaches statistical analyses to environmental scientists, field biologists, ecologists or marine biologists.
Sue Townsend - Biodiversity Learning Manager - Field Studies Council
1907807128 Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation (Data in the Wild)
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