Using R for Statistics

  • Authors
  • Sarah Stowell

Table of contents

  1. Front Matter
    Pages i-xx
  2. Sarah Stowell
    Pages 1-18
  3. Sarah Stowell
    Pages 19-28
  4. Sarah Stowell
    Pages 29-46
  5. Sarah Stowell
    Pages 47-58
  6. Sarah Stowell
    Pages 73-86
  7. Sarah Stowell
    Pages 87-98
  8. Sarah Stowell
    Pages 99-118
  9. Sarah Stowell
    Pages 119-142
  10. Sarah Stowell
    Pages 143-162
  11. Sarah Stowell
    Pages 163-184
  12. Sarah Stowell
    Pages 185-192
  13. Sarah Stowell
    Pages 193-208
  14. Sarah Stowell
    Pages 209-216
  15. Back Matter
    Pages 217-221

About this book

Introduction

Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics. This book is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R to accomplish a wide variety statistical operations.

You'll be able to navigate the R system, enter and import data, manipulate datasets, calculate summary statistics, create statistical plots and customize their appearance, perform hypothesis tests such as the t-tests and analyses of variance, and build regression models. Examples are built around actual datasets to simulate real-world solutions, and programming basics are explained to assist those who do not have a development background.

After reading and using this guide, you'll be comfortable using and applying R to your specific statistical analyses or hypothesis tests. No prior knowledge of R or of programming is assumed, though you should have some experience with statistics.

Bibliographic information

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