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  • Book
  • © 2014

Using R for Statistics

Apress

Authors:

  • If you need to use a variety of statistics, then Using R for Statistics will get you the answers to most of the problems that are likely to be posed.
  • 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.

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Softcover Book USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xx
  2. R Fundamentals

    • Sarah Stowell
    Pages 1-18
  3. Working with Data Files

    • Sarah Stowell
    Pages 19-28
  4. Preparing and Manipulating Your Data

    • Sarah Stowell
    Pages 29-46
  5. Combining and Restructuring Datasets

    • Sarah Stowell
    Pages 47-58
  6. Tabular Data

    • Sarah Stowell
    Pages 73-86
  7. Probability Distributions

    • Sarah Stowell
    Pages 87-98
  8. Creating Plots

    • Sarah Stowell
    Pages 99-118
  9. Customizing Your Plots

    • Sarah Stowell
    Pages 119-142
  10. Hypothesis Testing

    • Sarah Stowell
    Pages 143-162
  11. Regression and General Linear Models

    • Sarah Stowell
    Pages 163-184
  12. Add-On Packages

    • Sarah Stowell
    Pages 185-192
  13. Basic Programming with R

    • Sarah Stowell
    Pages 193-208
  14. Datasets

    • Sarah Stowell
    Pages 209-216
  15. Back Matter

    Pages 217-221

About this book

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. Noprior knowledge of R or of programming is assumed, though you should have some experience with statistics.

About the author

Sarah Stowell is a Contract Statistician with Mitsubishi Pharma Europe and has been a Statistician with MDSL International and GlaxoSmithKline previously. She holds a Master of Science degree in Statistics.

Bibliographic Information

Buy it now

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access