Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation (Data in the Wild)
Product ID: 66681099
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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: A must for anyone getting to grips with data analysis using R and excel. – desertcart 5-star review It has been very easy to follow and will be perfect for anyone. – desertcart 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 Review: Helpful Text - I received this book in great condition. This is such a helpful book, especially for young ecologists. The R code and Excel instructions are very nice to get you started and ready for more advanced work. Review: Don't forget the data sets! - Book is wonderful. I especially like the tutorials for using R and Excel. That, along with the additional data sets, were perfect for my Biostatistics course.
| Best Sellers Rank | #1,560,845 in Books ( See Top 100 in Books ) #351 in Spreadsheet Books #410 in Ecology (Books) #1,177 in Statistics (Books) |
| Customer Reviews | 4.7 out of 5 stars 48 Reviews |
A**E
Helpful Text
I received this book in great condition. This is such a helpful book, especially for young ecologists. The R code and Excel instructions are very nice to get you started and ready for more advanced work.
B**R
Don't forget the data sets!
Book is wonderful. I especially like the tutorials for using R and Excel. That, along with the additional data sets, were perfect for my Biostatistics course.
N**I
Easy to understand
This book is easy to understand and contains simple but important materials
Y**N
Five Stars
Good book!
L**A
Ottimo
Ottimo libro, in cui viene spiegato in modo chiaro e conciso (in inglese) come utilizzare R ed Excel per gli studi di statistica in ecologia. Per questo penso sia particolarmente indicato per chi lavora o studia nel settore ambientale, o per gli appassionati dell'ambito.
C**N
Libro descriptivo
Compre la segunda edición de este Libro ya que me parece bastante útil, explica de manera dual el como realizar un análisis y pruebas estadísticas tanto en Excel como R. El proceso de entrega es como dos semanas (importación). El vendedor estuvo en contacto conmigo aproximadamente cuando el paquete estaba por llegar para informar que en caso de pérdida del paquete se reembolsa ya que el envío esta asegurado.
S**L
Good book, comprehensive, too bad about the typos in the code
The book is very comprehensive and easy to follow. What is really unfortunate is the large amount of typos in the R sections. A lot of them result in errors when followed exactly. Had to compare and look up the correct code in other books and on R forums. This was very off-putting as uou loose concentration in the flow of the book as a result. Also who still use R terminal? Surely a beginners aimed book would be much better off using RStudio.
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