R – 2006, 40 p.
This is a very brief introduction to R via a series of examples which are relevant to actuarial work. These examples are aimed at R newbies so: only a small fraction of R’s capabilities are examined in these examples.
there are many ways of achieving the same objective in R. These examples often only consider a single approach and for educational purposes may not be the most elegant solutions.
I. Introduction.
What is R?
R Packages.
Online Resources II. Some Preliminaries.
Starting R in Windows.
Getting help with functions and features.
R Data Structures.
R Graphics.
Getting data into R.
Getting data out of R.
Examples Series III. Examples.
R as a Calculator.
Data manipulation.
Examining Distributions.
Extreme Value Distributions.
Generalized Linear Models – Stochastic Reserving.