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Statistics for Ecologists Using R and Excel - Data Collection, Exploration, Analysis and Presentation (Paperback, 2nd edition)
Loot Price: R1,027
Discovery Miles 10 270
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Statistics for Ecologists Using R and Excel - Data Collection, Exploration, Analysis and Presentation (Paperback, 2nd edition)
Series: Data in the Wild
Expected to ship within 12 - 17 working days
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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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