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
