Commercial software
Jan 10, 2005
- Matlab (probably the most-used data analysis software in the world, all platforms)
- Mathematica (one of the most powerful symbolic calculation software, all platforms)
- SAS (one of the most-used statistical package in the industry)
- S-PLUS (one of the best statistical language for Windows and Unix/Linux)
- Statistica (a complete and intuitive statistical software for Windows & Macintosh)
- SPSS / Systat (other well-known statistical software for Windows)
- O-Matrix (a very fast Matlab-compatible shareware for Windows)
- Ox (a very fast matrix language for Unix/Linux & Windows, free for academic)
- Idrisi (a good and inexpensive GIS package)
Free software
Jan 10, 2005
- R (a fast and powerful free equivalent of Splus for Windows, MacOS, Unix & Linux)
- Octave (a free clone of Matlab 4 for Unix/Linux and Windows)
- Scilab (a free package similar to Matlab / Simulink)
- Gnuplot (a free scientific graphing package)
- XGobi (a software for plotting and analyzing multivariate data)
- Grass (a free GIS package)
- ADE-4 (a data analysis software for ecology)
Utilities and Miscellaneous
Jun 28, 2008
- SciTE (a powerful text editor with syntax highlighting features for many languages)
- JabRef (manage your references in BibTeX format - free and usable on all platforms)
- GNU (free GNU software)
- Mozilla Firefox (probably the best web browser)
- OpenOffice (an excellent and free alternative to Microsoft Office)
- ImageJ (a free image analysis software)
- Quantian (a complete system with tons of scientific software on a bootable DVD, based on Debian Linux)
Sites dedicated to data analysis
Jan 10, 2005
- Statlib (various resources, mainly for Splus)
- NAG (the Numerical Algorithms Group Ltd)
- Sourceforge.net (a repository for many free open source programs)
- Mathtools.net (idem)
- Scientific Web (comparison of various data analysis software)
Online resources on statistics and data analysis
Jan 10, 2005
- Journal of statistical software
- R News (a journal presenting the development of R)
- SimpleR (an introduction to R for beginners)
- Using GRASS and R together (a paper explaining how to link GRASS and R)
- Experimental design (an introductory lesson)
- Statistic electronic textbook (online version of the Statistica user manual)
- Famous curves index (a catalog of mathematical curves)
- Rice Virtual Lab in Statistics (learn the stats interactively with these nice little Java apps)