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| University of Parma and European Commission | Description |
|---|---|
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FSDA (Flexible Statistics and Data Analysis) extends MATLAB and the Statistics Toolbox for the robust analysis of data sets affected by different sources of heterogeneity. It includes the main traditional robust multivariate and regression techniques (LMS, LTS, MCD, MVE, MM and S estimation) and the Forward Search approach. Tools are available for robust data transformation and robust model selection. The exploratory plots produced by the statistical functions are enriched with flexible dynamic interaction options, based on brushing, linking, annotation and filtering paradigms. The documentation is extensive and fully integrated in the classical documentation system and style of MATLAB. Documentation pages include code fragments with examples taken from the robust statistics literature. The corresponding datasets (about 50, currently) are available in textual (.txt) and binary (.mat) formats. Code for any function is open and extensible. |
You find the download section on "MATLAB Central": http://www.mathworks.com/matlabcentral/fileexchange/72999-fsda
if you like the toolbox, you can rate it on this page to make it stick out more to other users.
FSDA Toolbox contains more than 200 routines to assess and understand data affected by multiple outliers. FSDA routines cover, multiple regression, multivariate data analysis, classification and transformations. FSDA also includes interactive tools for analyzing and modeling data, learning and teaching statistics. Every .m function has its corresponding HTML page in Mathworks style (which is generated automatically). The documentation system is perfectly integrated into the Mathworks framework.
The documentation can be found in the supplementary software section of MATLAB help system. A copy of the documentation can be found at the web address below http://rosa.unipr.it/FSDA/guide.html
If you experience bugs or have feature requests, please do not hesitate to file an issue right here on GitHub. The issue should include the following:
1. A minimal MATLAB code reproducing your issue.
2. Which version of FSDA you are using and which version of MATLAB you have.