Über den Autor
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.
1. R Fundamentals
2. Working with Data Files
3. Preparing and Manipulating Data
4. Combining and Restructuring Data Sets
5. Continuous Variables
6. Tabular Data
7. Probability Distribution
8. Creating Plots
9. Customizing Plots
10. Hypothesis Tests
11. Regression and Linear Models
12. Appendix A: Basic Programming with R
13. Appendix B: Add-on Packages
14: Appendix C: Data Sets
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.
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.