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.
No prior knowledge of R or of programming is assumed, making this book ideal if you are more accustomed to using point-and-click style statistical packages. You should have some prior experience with statistics, however.
Chapter 1. R Fundamentals
Chapter 2. Working with Data Files
Chapter 3. Preparing and Manipulating Data
Chapter 4. Combining and Restructuring Data Sets
Chapter 5. Continuous Variables
Chapter 6. Tabular Data
Chapter 7. Probability Distribution
Chapter 8. Creating Plots
Chapter 9. Customizing Plots
Chapter 10. Hypothesis Tests
Chapter 11. Regression and Linear Models
Appendix A: Basic Programming with R
Appendix B: Add-on Packages
Appendix C: Data Sets
