Beginning R, Second Edition is a handson 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 oneway ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a handson, examplebased approach incorporating best practices with clear explanations of the statistics being done. It has been completely rewritten since the first edition to make use of the latest packages and features in R version 3.R is a powerful opensource language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. R is both an objectoriented 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