Statistics 230A Lab

Statistics 230A Lab Spring 2005

The main webpage to the course can be found here.

GSI and section Information:

TA:	Guilherme V. Rocha
e-mail:	gvrocha at stat dot berkeley dot edu (replace the at by @ and dot by .)
Lab Sections:	Mondays, 10AM-12PM in 332 Evans
OH:	Wednesdays, 10AM-12PM at 387 Evans

Data Sets:

Sample R Codes:

Running a simulation (Lab 6)

Labs:

Lab 1: Getting Started with R
Lab 2: Fitting a regression line with R
Lab 3: Multiple regression
Lab 4: Influence measures
Lab 5: Model Selection
Lab 6: Model Selection II
Lab 7: Shrinkage Methods
Lab 8: Comparing the results of selected models
Lab 9: Two-way ANOVA

Writing the reports:

A short guide on what to include in the reports may be found here.

About R:

During the course, the statistical package R will be used to perform data analyses. R is available at the RSF computers. If you want to install R in your own computer, it can be downloaded for free at the C-RAN Project Webpage.

At C-RAN Project Webpage, you can also find additional information on R, including documentation, tutorials and additional packages.

Some documents that might help you get started are:

An Introduction to R, by Prof. Phil Spector
An Introduction to R, from the C-RAN Project Webpage
An Introduction to R for STAT135 (Fall 2004), by Richard Bourgon

You can find the R commands used in the examples of the recommended text (Linear Models with R, by Julian J. Faraway) at the Linear Models with R webpage.

If you want to know more about R, these are more advanced references:

The R Language definition: detailed information on data types and information on creating your own functions in R
The R Reference Index (12 Mb):contains all help files of the R standard and recommended packages