Open source (www.r-project.org)
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the
S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies). R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. R provides an Open Source route to research in statistical methodology. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.
R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes
- an effective data handling and storage facility,
- a suite of operators for calculations on arrays, in particular matrices,
- a large, coherent, integrated collection of intermediate tools for data analysis,
- graphical facilities for data analysis and display either on-screen or on hardcopy,
- a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.
- Pre- and post-experimental data analysis (error estimation, normality test, confidence interval calculation…)
- Experimental data fitting
- Principal Component Analysis
- Linear and non-linear (bootstrap) Partial Least Square regression