File Exchange

image thumbnail

FSDA

version 7.4.1 (15 MB) by Marco Riani
Robust regression, robust multivariate analysis, robust classification and much more...

182 Downloads

Updated 26 Nov 2019

View License

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.

Cite As

Marco Riani (2019). FSDA (https://www.mathworks.com/matlabcentral/fileexchange/72999-fsda), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (11)

Updates

7.4.1

Minor typos

7.4

Function LTStsVarSel.m now extends variable selection to AR components. File simulateTS.m does not need anymore the Econometrics toolbox.
New file installHelpFiles.m which automatically enables to copy FSDA html help files into MATLAB docroot

7.3.5

Solved minor bug in function mcd

7.3.4

Logo updated

7.3.3

Logo updated

7.3.2

Logo updated

7.3.1

Logo updated

7.3

Apps images bug solved. Improved version of some html pages.

7.2.0

startup.m removed. Output of the examples of HTML files now available for downloading. More details in getting_started.mlx page.

7.1.3

HTML pointers files inside (FSDAroot)/helpfiles/pointersHTML regenerated.
Corrected bug in function existFS.

7.1.2.3

License files updated

7.1.2.2

Function rescale renamed rescaledFS because in conflict with function rescale of MATLAB. FSDA dataset hospital renamed hospitalFS because it shadowed MATLAB dataset hospital. Thank you for the suggestions.

7.1.2.1

Typo fixed

7.1.2

Deleted space in the installation folder

7.1.1

Improved file GettingStarted.mlx

MATLAB Release Compatibility
Created with R2019b
Compatible with R2014b to any release
Platform Compatibility
Windows macOS Linux

clustering

combinatorial

examples

graphics

multivariate

regression

utilities

utilities/privateFS

utilities_help

utilities_stat