|Categories||Download eBook: Learning Statistics with R|
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.
This book takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.
At its core, this is an introductory statistics textbook pitched primarily at psychology students. As such, it covers the standard topics that you'd expect of such a book: study design, descriptive statistics, the theory of hypothesis testing, t-tests, X2 tests, ANOVA and regression.
More R Programming eBooks:
Statistics with R
Using R for Data Analysis and Graphics
Advanced R Programming
Introduction to Probability and Statistics Using R
The Art of R Programming: A Tour of Statistical Software Design
A Handbook of Statistical Analyses Using R
An Introduction to R: A Programming Environment for Data Analysis and Graphics
The R Inferno