This is a book about the scientific process and how you apply it to Data in ecology. - Goodreads, 4-star review.
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. - Amazon 5-star review A solid introduction to working with Excel and R. - Amazon 5-star review It has been very easy to follow and will be perfect for anyone.
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.
I recommended this text to the university library as well as to colleagues at my student workshops on R. - 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.
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.
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.
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.
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.
The book uses Microsoft Excel and the powerful Open Source R program to carry out Data handling as well as producing graphs.
You will learn how to plan for Data collection, how to assemble data, how to analyze Data and finally how to present the results.
This is a book about the scientific process and how you apply it to Data in ecology
