R-ticulate
eBook - PDF

R-ticulate

A Beginner's Guide to Data Analysis for Natural Scientists

  1. English
  2. PDF
  3. Only available on web
eBook - PDF

R-ticulate

A Beginner's Guide to Data Analysis for Natural Scientists

Book details
Table of contents
Citations

About This Book

An accessible learning resource that develops data analysis skills for natural science students in an efficient style using the R programming language

R-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists is a compact, example-based, and user-friendly statistics textbook without unnecessary frills, but instead filled with engaging, relatable examples, practical tips, online exercises, resources, and references to extensions, all on a level that follows contemporary curricula taught in large parts of the world.

The content structure is unique in the sense that statistical skills are introduced at the same time as software (programming) skills in R. This is by far the best way of teaching from the authors' experience.

Readers of this introductory text will find:

  • Explanations of statistical concepts in simple, easy-to-understand language
  • A variety of approaches to problem solving using both base R and tidyverse
  • Boxes dedicated to specific topics and margin text that summarizes key points
  • A clearly outlined schedule organized into 12 chapters corresponding to the 12 semester weeks of most universities

While at its core a traditional printed book, R-ticulate: A Beginner's Guide to Data Analysis for Natural Scientists comes with a wealth of online teaching material, making it an ideal and efficient reference for students who wish to gain a thorough understanding of the subject, as well as for instructors teaching related courses.

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Yes, you can access R-ticulate by Martin Bader,Sebastian Leuzinger in PDF and/or ePUB format, as well as other popular books in Matemáticas & Probabilidad y estadística. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2024
ISBN
9781119718000
Edition
1
Topic
Matemáticas
Subtopic
Probabilidad y estadística

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Foreword
  6. Preface
  7. About the Companion Website
  8. Chapter 1 Hypotheses, Variables, Data
  9. Chapter 2 Measuring Variation
  10. Chapter 3 Distributions and Probabilities
  11. Chapter 4 Replication and Randomisation
  12. Chapter 5 Two‐Sample and One‐Sample Tests
  13. Chapter 6 Communicating Quantitative Information Using Visuals
  14. Chapter 7 Working with Categorical Data
  15. Chapter 8 Working with Continuous Data
  16. Chapter 9 Linear Regression
  17. Chapter 10 One or More Categorical Predictors – Analysis of Variance
  18. Chapter 11 Analysis of Covariance (ANCOVA)
  19. Chapter 12 Some of What Lies Ahead
  20. Index
  21. EULA