Statistics for Ecologists Using R and Excel: Data Collection, Exploration,

Statistics for Ecologists Using R and Excel: Data Collection, Exploration, – Digital Instant Dowload.

Product details:

• ISBN-10 ‏ : ‎ 178427139X
• ISBN-13 ‏ : ‎ 978-1784271398
• Author: 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.

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.

Table of contents:

Preface xi

1. Planning

2. Data recording

3. Beginning data exploration – using software tools

4. Exploring data – looking at numbers

5. Exploring data – which test is right?

6. Exploring data – using graphs

7. Tests for differences

8. Tests for linking data – correlations

9. Tests for linking data – associations

10. Differences between more than two samples

11. Tests for linking several factors

12. Community ecology

13. Reporting results

14. Summary

Glossary

Appendices

Index

Title tag

Mastering Statistics for Ecologists with R and Excel: Data Collection and Exploration Guide
Comprehensive Guide to Ecological Data Analysis Using R and Excel for Researchers
Ecology Statistics Unveiled: Data Collection and Exploration Techniques with R and Excel