Collections and Resources


SOFTWARES:

Emacs: Text Editor

http://www.gnu.org/software/emacs/

Emacs Speaks Statistics (ESS)

http://ess.r-project.org/

Latex: Document Preparation System

http://www.latex-project.org/

LyX: Document Processor

http://www.lyx.org/

R/GNU-S: Statistical Computing Language

http://www.r-project.org/

http://cran.r-project.org/

RStudio: an integrated development environment (IDE) for R

http://rstudio.org/

Rcpp: Seamless R and C++ Integration

http://dirk.eddelbuettel.com/code/rcpp.html

https://github.com/RcppCore/RcppParallel

CXXR: Refactorising R into C++

http://www.cs.kent.ac.uk/projects/cxxr/index.html

RCC: R to C Compiler

http://www.hipersoft.rice.edu/rcc/index.html

LIBSVM: A Library for Support Vector Machines

http://www.csie.ntu.edu.tw/~cjlin/libsvm/

e1071: R Interface to libsvm

http://cran.r-project.org/web/packages/e1071/index.html

Flood: An Open Source Neural Networks C++ Library

http://www.cimne.com/flood/

FANN: Fast Artificial Neural Network Library

http://leenissen.dk/fann/wp/

R and Flash(SWF):

Convert R Graphics to SWF

https://github.com/yihui/R2SWF

R graphics device for Flash via Ming

https://github.com/jeffreyhorner/MingSWF

Maxima: Computer Algebra System

http://maxima.sourceforge.net/

Octave

http://www.gnu.org/software/octave/

Julia

http://julialang.org/

http://julia.readthedocs.org/en/latest/manual/noteworthy-differences/

https://github.com/lakras/matlab-to-julia

http://sciencecow.mit.edu/matlab-to-julia/

https://juliabox.com (Try Julia online)

Scilab

http://www.scilab.org/

[http://www.morlok.net/ryan/2006/11/01/open-source-matlab-alternatives/]

GCC: GNU Compiler Collection

http://gcc.gnu.org/

Cygwin: Linux-like environment for Windows

http://www.cygwin.com/

MinGW | Minimalist GNU for Windows

http://www.mingw.org/

Online Compilers:

http://www.compileonline.com

http://codepad.org/

http://compilr.com/

http://ideone.com/

http://www.onlinecompiler.net/

Web interface for R and Octave

http://pbil.univ-lyon1.fr/Rweb/

http://knn.mimuw.edu.pl/weboctave-project/

https://octave-online.net/

http://www.ms.uky.edu/~statweb/

IDE

http://www.eclipse.org/

http://www.codeblocks.org/

(http://cbp2make.sourceforge.net/)

PDF tools

Tools to crop PDFs:

http://briss.sourceforge.net/

http://www.pdfscissors.com/

PDF to Kindle:

http://www.willus.com/k2pdfopt/

WEBSITES:

http://en.wikipedia.org

http://planetmath.org

http://www.proofwiki.org

http://stackoverflow.com

http://mathoverflow.net

http://math.stackexchange.com

http://stats.stackexchange.com

http://projecteuclid.org/feeds

FREE BOOKS:

The Elements of Statistical Learning:

Data Mining, Inference, and Prediction.

By Trevor Hastie, Robert Tibshirani, Jerome Friedman

http://www-stat.stanford.edu/~tibs/ElemStatLearn/

Paperback!

http://waxworksmath.com/Authors/G_M/Hastie/hastie.html

Music: a Mathematical Offering

By Dave Benson

http://www.maths.abdn.ac.uk/~bensondj/html/maths-music.html

Paperback!

Clever Algorithms: Nature-Inspired Programming Recipes

By Jason Brownlee

http://www.cleveralgorithms.com/

Paperback!

ONLINE VIDEO COURSES:

probability, information theory, machine learning  by mathematicalmonk:

http://www.youtube.com/user/mathematicalmonk

Stanford open course: http://www.youtube.com/user/StanfordUniversity

MIT open course: http://www.youtube.com/user/MIT/

Caltech: www.youtube.com/user/caltech/
(http://work.caltech.edu/library/)

https://www.coursera.org/

DATA SETS:

https://github.com/caesar0301/awesome-public-datasets

https://webscope.sandbox.yahoo.com/

http://www.r-bloggers.com/new-data-sources-for-r/

http://www.r-bloggers.com/big-data-in-agriculture-ddw2-1/

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