Beginning with R Lecture and r code files Web Page
R Packages for Statistical Learning
Full Documentation for R (fullrefman) (large document ... takes time to download)
Linear Regression with R - Beginning Example
Data Analysis and Graphics Using R: an example-based approach
Lasso and elastic-net regularized generalized linear models.
Flexible and mixture discriminant analysis .
Lasso2 (Turlach).
LARS (Efron, Hastie, Johnstone, Tibshirani).
Efficient version of lasso (entire lasso sequence at cost of single least squares fit).
gradient boosting.
MART (gradient boosting).
PRIM.
Principal curves.
Bootstrap and cross-validation .
If using R with Linux: to launch R in an application window type the command "R -g Tk &" into a terminal window
More R references:
http://www.stats.ox.ac.uk/
http://www.r-tutor.com/r-
http://cran.r-project.org/doc/
http://faculty.washington.edu/
http://en.wikibooks.org/wiki/R_Programming
In addition, you should see how to plot data well:
http://www.statmethods.net/
http://had.co.nz/ggplot2/
To integrate with eclipse IDE (statET from WalWare)
Step by Step instructions on the integration
Sweave http://www.r-bloggers.com/getting-started-with-sweave-r-latex-eclipse-statet-texlipse/
for Eclipse 3.6 use http://download.walware.de/eclipse-3.6
To call R from a Java Program
