- History of R
- Using the R environment
- Views R Console
- Graphics Console
- Script Editor Console
- passing a script for compiling
- Creating and Editting a script using script editor
- Using R Studio Integrated Development Environment
R Statistical Programming - Introduction
The R programming Language was developed by such and such
R is a rich environment for statistical computing and has many capabilities for exploring data in its base package. In addition, R contains a collection of functions for simulating and summarizing the familiar one-parameter probability distributions. One goal of this chapter is to provide a brief introduction to basic commands for summarizing and graphing data. We illustrate these commands on a dataset about students in an introductory statistics class. A second goal of this chapter is to introduce the use of R as an environment for programming Monte Carlo simulation studies. We describe a simple Monte Carlo study to explore the behavior of the two-sample t statistic when testing from populations that deviate from the usual assumptions. We will find these data analysis and simulation commands very helpful in Bayesian computation. The R environment
The R Project
Assignment operator R Project R is a system for statistical computation and graphics. It consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files.