Warning

Here are the notes I took while discovering and using the
statistical environment R. However, I do not claim any
competence in the domains I tackle: I hope you will find
those notes useful, but keep you eyes open -- errors and bad
advice are still lurking in those pages...

Should you want it, I have prepared a quick-and-dirty PDF version of this document.

The old, French version is still available, in HTML or as a single file.

You may also want all the code in this document.

1.
Introduction to R

2.
Programming in R

3.
From Data to Graphics

4.
Customizing graphics

5.
Factorial methods: Around Principal Component Analysis (PCA)

6.
Clustering

7.
Probability Distributions

8.
Estimators and Statistical Tests

9.
Regression

10.
Other regressions

11.
Regression Problems -- and their Solutions

12.
Generalized Linear Models: logistic regression, Poisson regression, etc.

13.
Analysis of Variance (Anova)

14.
Mixed Models

15.
Time series

16.
Miscellaneous

17.
Applications

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

Vincent Zoonekynd

<zoonek@math.jussieu.fr>

latest modification on Sat Jan 6 10:28:27 GMT 2007