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