Leverage R as a powerful statistical tool
Test your hypotheses and draw conclusions
Use R to give meaning to your data
The easy, practical guide to R
R is powerful, free software for statistical analysis?full of many tools and functions. R makes it possible to carry out complex statistical analyses by simply entering a few commands. This practical, step-by-step guide explains foundational statistical concepts and shows you how to implement them. You'll be able to perform analyses, understand their implications and results, and make them available to a wide audience.
Inside...
How data is evaluated
Installing and setting up R
Using R for graphing
All about variations and deviations
How to draw conclusions
Working with regression
Using non-parametric statistics
Probability and distributions
Joseph Schmuller, PhD, has taught undergraduate and graduate statistics, and has 25 years of IT experience. The author of four editions of Statistical Analysis with Excel For Dummies and three editions of Teach Yourself UML in 24 Hours (SAMS), he has created online coursework for Lynda.com and is a former Editor in Chief of PC AI magazine. He is a Research Scholar at the University of North Florida.
