Description: Further DetailsTitle: Statistics for Ecologists Using R and ExcelCondition: NewEAN: 9781784271398ISBN: 9781784271398Edition: 2nd editionPublisher: Pelagic PublishingFormat: PaperbackRelease Date: 01/09/2017Item Height: 244mmItem Length: 170mmItem Weight: 860gAuthor: Mark GardenerLanguage: EnglishSubtitle: Data Collection, Exploration, Analysis and PresentationDescription: 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 reviewCountry/Region of Manufacture: GBGenre: Science Nature & MathBook Series: Data in the WildTopic: Language & Reference, Computing & InternetRelease Year: 2017 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Statistics for Ecologists Using R and Excel
Title: Statistics for Ecologists Using R and Excel
EAN: 9781784271398
ISBN: 9781784271398
Edition: 2nd edition
Release Date: 01/09/2017
Release Year: 2017
Subtitle: Data Collection, Exploration, Analysis and Presentation
Country/Region of Manufacture: GB
Genre: Science Nature & Math
Topic: Computing & Internet
Number of Pages: 406 Pages
Publication Name: Statistics for Ecologists Using R and Excel : Data Collection, Exploration, Analysis and Presentation
Language: English
Publisher: PELAGIC Publishing LTD.
Item Height: 0.8 in
Subject: Programming Languages / General, Life Sciences / Ecology, Probability & Statistics / General, Desktop Applications / Spreadsheets, Life Sciences / Biology
Publication Year: 2017
Features: Revised
Type: Textbook
Item Weight: 30.5 Oz
Author: Mark Gardener
Item Length: 9.6 in
Subject Area: Mathematics, Computers, Science
Item Width: 6.7 in
Series: Data in the Wild Ser.
Format: Trade Paperback
