Beginning R : An Introduction to Statistical Programming Beginning R Second Edition is a hands on book showing how to use the R language write and save R scripts read in data files and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one way ANOVA analysis linear and logistic regression data visualization parallel processing bootstrapping and more. It takes a hands on example based approach incorporating best practices with clear explanations of the statistics being done. It has been completely re written since the first edition to make use of the latest packages and features in R version 3. R is a powerful open source language and programming environment for statistics and has become the de facto standard for doing teaching and learning computational statistics. R is both an object oriented language and a functional language that is easy to learn easy to use and completely free. A large community of dedicated R users and programmers provides an excellent source of R code functions and data sets with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft Google and Oracle. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for data analysis and research. What You Will Learn: How to acquire and install R Hot to import and export data and scripts How to analyze data and generate graphics How to program in R to write custom functions Hot to use R for interactive statistical explorations How to conduct bootstrapping and other advanced techniques