Some of the material relating to the statistics module given in the TiP Summer School, November 2011 is available on this page.
The page is currently under development and material will be added to it over the coming days.
The computer package for the course is R. A brief introduction to R is given here. More information is given on the CRAN home page. This will allow you to download and install R for either a Windows or a Mac platform.
Detailed information on using R for matrix calculations is given in the notes Basics of Matrix Algebra. As well as describing the basics of matrix algebra, including numerical calculations ‘by hand’, for example of matrix multiplication and inversion, the notes give guidance on how to do numerical calculations in R and other basic operations. Answers to some of the exercises are given here.
Solutions to Question 1 - 6 are here (pdf)
(Open script file from inside R or with Notepad or a text editor)
TiP Two: 2: Clssical univariate tests, randomization & bootstrap tests
TiP Three: 3: R tips, linear models and scatterplot smoothing
TiP Four: 4: Introduction to multivariate techniques
TiP Five: 5: Multivariate methods continued with tree-based methods
TiP Six: 6: Introduction to Cluster Analysis and Time Series
TiP HomePage link
Course notes and Exercises
Complete course notes are here (pdf)
Exercises are here (pdf)
Script file with R-code for Questions 1 - 6 is here (pdf)
1: Introductory Statistics
Lecture slides (PowerPoint) are given here
Handout version of slides (Acrobat pdf) are here
2: Linear Models and Smooth Regression
Lecture slides (PowerPoint) are given here
Handout version of slides (Acrobat pdf) are here
3: Multivariate Methods
Lecture slides (PowerPoint) are given here
Handout version of slides (Acrobat pdf) are here
4: Tree-based Methods
Lecture slides (PowerPoint) are given here
Handout version of slides (Acrobat pdf) are here
5: Neural Networks
Lecture slides (PowerPoint) are given here
Handout version of slides (Acrobat pdf) are here
6: Introduction to Cluster Analysis and Time Series
Lecture slides (PowerPoint) are given here
Handout version of slides (Acrobat pdf) are here
Lecture recordings
TiP One:1: Exploratory Data Analysis and Robust Summaries
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