Description
Pelagic Publishing Statistics for Ecologists Using R and Excel Data Collection Exploration Analysis and Presentation by Mark Gardener
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._x000D__x000D__x000D__x000D_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._x000D__x000D__x000D__x000D_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._x000D__x000D__x000D__x000D_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._x000D__x000D__x000D__x000D_Praise for the first edition:_x000D__x000D__x000D__x000D_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_x000D__x000D__x000D__x000D_[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_x000D__x000D__x000D__x000D_A must for anyone getting to grips with data analysis using R and excel. - Amazon 5-star review_x000D__x000D__x000D__x000D_It has been very easy to follow and will be perfect for anyone. - Amazon 5-star review_x000D__x000D__x000D__x000D_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_x000D_ Table of contents :- _x000D_
Preface xi _x000D_
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1. Planning _x000D_
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2. Data recording _x000D_
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3. Beginning data exploration - using software tools _x000D_
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4. Exploring data - looking at numbers _x000D_
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5. Exploring data - which test is right? _x000D_
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6. Exploring data - using graphs _x000D_
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7. Tests for differences _x000D_
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8. Tests for linking data - correlations _x000D_
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9. Tests for linking data - associations _x000D_
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10. Differences between more than two samples _x000D_
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11. Tests for linking several factors _x000D_
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12. Community ecology _x000D_
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13. Reporting results _x000D_
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14. Summary _x000D_
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Glossary _x000D_
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Appendices _x000D_
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Index_x000D_