Here is the Lecture:

Here is the code from the examples:

Here is code for you to explore:

ExploreParkinson Notice that the first colm is just the Subject Identifier which should be a factor.

This code turns that colm into a factor

NewPackage This shows how to load in a new package

Data files needed to run the .r code:

To run the plot demo:

library(help="graphics")

#This will show you several graphics functions

#press the Enter key to move to each new graph

demo(graphics)

This is a lesson on regression and cross validation:

Regression Lecture

Here are more r functions to explore:

- cbind: add a column of data to an existing structure

- rbind: add a row of data to an existing structure

- grep, grepl: finding things in data structures

- gsub: replacing data elements

- subset: taking just a piece of a data strucuture, conditionally

- plr()

- ddplr()

Another data structure to explore is lists

Here are some interesting Packages to investigate:

caret Classification and Regression Training

e1071 Misc Functions of the Department of Statistics (e1071), TU Wien