R is a popular and growing open source statistical analysis and graphics environment as well as a programming language and platform. If you need to use a variety of statistics, then *Using R for Statistics * will get you the answers to most of the problems you are likely to encounter.

*Using R for Statistics *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.

"- Cover
- Title
- Copyright
- Contents at a Glance
- Contents
- About the Author
- About the Technical Reviewer
- Acknowledgments
- Introduction
- Chapter 1: R Fundamentals
- Chapter 2: Working with Data Files
- Chapter 3: Preparing and Manipulating Your Data
- Chapter 4: Combining and Restructuring Datasets
- Chapter 5: Summary Statistics for Continuous Variables
- Chapter 6: Tabular Data
- Chapter 7: Probability Distributions
- Chapter 8: Creating Plots
- Chapter 9: Customizing Your Plots
- Chapter 10: Hypothesis Testing
- Chapter 11: Regression and General Linear Models
- Appendix A: Add-On Packages
- Appendix B: Basic Programming with R
- Appendix C: Datasets
- Index