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

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 introduction to 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.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
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.

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