2004. – 47 p. – ISBN: N/AThis introduction to the freely available statistical software package R is primarily intended for people already familiar with common statistical concepts. Thus the statistical methods used to illustrate the package are not explained in detail. These notes are not meant to be a reference manual, but rather a hands-on introduction for statisticians who are unfamiliar with R The intention is to of- fer just enough material to get started, to motivate beginners by illustrating the power and flexibility of R, and to show how simply it enables the user to carry out sophisticated statistical computations and to produce high-quality graphical displays.Contents:
An Introduction to R
Downloading and Installing R
Getting Started
Statistical Distributions
Writing Custom R Functions
Linear Models
Fitting Linear Models in R
Generalized Linear Models
Extensions
Time Series Analysis
Classical Decomposition
Exponential Smoothing
ARIMA–Models
Advanced Graphics
Customizing Plots
Mathematical Annotations
Three-Dimensional Plots
RGL: 3D Visualization in R using OpenGL
