Complete Data Analysis Using R
eBook - ePub

Complete Data Analysis Using R

Your Applied Manual

  1. 408 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Complete Data Analysis Using R

Your Applied Manual

Book details
Table of contents
Citations

About This Book

This step-by-step guide shows you how to use R to get data analysis right.

The book explores the entire process of analysis, covering key steps from preparing your data to putting your analysis together and writing up your findings. It helps you get to grips with doing different statistical techniques in R and:

  • Equips you with practical data visualisation tools to create graphs and tables.
  • Shows you how to prepare and present your research for assessment, publication and dissemination.
  • Covers key issues facing today's social scientists, such as making research reproducible.

Features include an introductionto each chapter, and end-of-chapter exercises to check your understanding of the material. The online resources for this text include data sets that you can perform your own analysis on, and links to publications that are relevant to programming with R. A good starting point for any postgraduate student conducting a research project, this book will help you develop your statistics and programming knowledge and get quickly up to speed.

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Yes, you can access Complete Data Analysis Using R by Marco Lehmann in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
SAGE Publications Ltd
Year
2022
ISBN
9781529738698
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Acknowledgements
  7. Table of Contents
  8. List of R Examples
  9. Illustration List
  10. Table List
  11. Sidebar List
  12. Preface
  13. Introduction
  14. Discover The Online Resources
  15. 1 Quick start – basic training of R functions
  16. 2 Getting Your Data In And Out Of R
  17. 3 Preparing the data for analysis
  18. 4 Descriptive and exploratory data analysis
  19. 5 Graphical Data Analysis
  20. 6 Inferential Statistics I:A Completely Randomised Factorial Design
  21. 7 Inferential Statistics II: A Multiple Regression Analysis
  22. 8 Preparing Tables For Publication
  23. 9 Preparing Graphics For Publication
  24. 10 Data Simulation
  25. 11 Putting It All Together: The Structure Of A Statistical Analysis
  26. References
  27. Index