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Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation by Mark Gardener

Mark Gardener . Unknown Year . English

This is a book about the scientific process and how you apply it to data in ecology. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. Statistical approaches covered include: data exploration; tests for difference - t-test and U-test; correlation - Spearman's rank test and Pearson product-moment; association including Chi-squared tests and goodness of fit; multivariate testing using analysis of variance (ANOVA) and Kruskal-Wallis test; and multiple regression. Key skills taught in this book include: how to plan ecological projects; how to record and assemble your data; how to use R and Excel for data analysis and graphs; how to carry out a wide range of statistical analyses including analysis of variance and regression; how to create professional looking graphs; and how to present your results. New in this edition: a completely revised chapter on graphics including graph types and their uses, Excel Chart Tools, R graphics commands and producing different chart types in Excel and in R; an expanded range of support material online, including; example data, exercises and additional notes & explanations; a new chapter on basic community statistics, biodiversity and similarity; chapter summaries and end-of-chapter exercises. Praise for the first edition: This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. - Sue Townsend, Biodiversity Learning Manager, Field Studies Council [M]akes 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 A must for anyone getting to grips with data analysis using R and excel. - Amazon 5-star review It has been very easy to follow and will be perfect for anyone. - Amazon 5-star review A solid introduction to working with Excel and R. The writing is clear and informative, the book provides plenty of examples and figures so that each string of code in R or step in Excel is understood by the reader. - Goodreads, 4-star review

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About the Author

My latest book is "Community Ecology: Analytical Methods Using R and Excel". This is now in print. The study of ecological community data involves many methods of analysis. In this book you will learn many of the mainstays of community analysis including: diversity, similarity and cluster analysis, ordination and multivariate analyses. This book is for undergraduate and postgraduate students and researchers seeking a step-by-step methodology for analysing plant and animal communities using R and Excel. The next project is about using Excel to manage data most effectively. The title is "Managing data using Excel: organising, summarizing and visualizing scientific data". This should be in print later in the summer 2014. I started out as an optician but returned to science and completed my education with a degree from the Open University. I always wanted to be an ecologist and my degree enabled me to undertake research and I later gained a PhD in pollination ecology. I've worked around the world and carried out field work in Australia and the United States as well as throughout the UK. After returning from research at the University of Hawai'i I began to do more teaching. I work as an Associate Lecturer with the Open University and also with the Field Studies Council. More recently I have begun to write about ecology and science and in particular the process of collecting and analysing data. I have become familiar with the R program for statistical computing (open source and free) and run courses in learning R as well as writing about it (see my website www.dataanalytics.org.uk). "Statistics for Ecologists" is about the process of data analysis and is more than just a recipe for carrying out various statistical analyses. I've included notes on the collecting of data, and the writing up of the results as well as details about a range of analytical methods. My second book "Beginning R" is aimed at teaching users how to get to grips with this powerful and flexible program. This book will be useful for anyone who needs to analyse datu, not just ecologists. "The Essential R Reference" is intended to be useful for new users and old hands alike. I like to think of it as a cross between a dictionary, thesaurus and glossary for R: the statistical programming language.

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