Stowell S. Using R for Statistics

Apress, 2014. — 244 p. — ISBN: 148420140X.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.What you’ll learnHow to apply statistical concepts using R and some R programming
How to work with data files, prepare and manipulate data, and combine and restructure datasets
How to summarize continuous and categorical variables
What is a probability distribution
How to create and customize plots
How to do hypothesis testing
How to build and use regression and linear modelsWho this book is forNo 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.R Fundamentals
Working with Data Files
Preparing and Manipulating Data
Combining and Restructuring Data Sets
Continuous Variables
Tabular Data
Probability Distribution
Creating Plots
Customizing Plots
Hypothesis Tests
Regression and Linear Models
Appendix A: Basic Programming with R
Appendix B: Add-on Packages
Appendix C: Data Sets