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yeroon.net/ggplot2
Ggplot2 online
Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition.
Wow! PDF file of the whole book online, plus some R examples.
Workflow for statistical analysis and report writing - Stack Overflow
H. Wickham (ggplot2 author) shows his workflow for data analysis with R, some example scripts.
CRAN - Package HybridMC
This package is an R implementation of the Hybrid Monte Carlo and Multipoint Hybrid Monte Carlo sampling techniques described in Liu (2001): "Monte Carlo Strategies in Computing
Mathesaurus
A reference for switching between scientific environments (e.g. Matlab, Numpy, R)
Powell's Books - Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics) by Bertrand Clarke
Intended primarily as a graduate level textbook for statistics, computer science, and electrical engineering students, this book assumes only a strong foundation in undergraduate statistics and mathematics, and facility with using R packages.
Revolutions: Counting with iterators
An iterator isn't constrained to simply return integers, either. You can set up an iterator on a matrix, so that each call to nextElem returns the next row (or column) as a vector. Or, you can set up an iterator on a MySQL or Oracle database, so that each call to nextElem returns the next record in the table. Iterators can even return infinite, irregular sequences -- the sequence of all primes, for examples. You can see examples of all these kinds of iterators in my recent UseR! talk.
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