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Updated 29 Mar 2021
8.5.4 | FSDA release 2021A fully tested |
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8.5.3 | Added a series of GUIs to show the necessary calculations to obtain of a series of statistical indexes. For more information see for example:
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8.5.2 | Added new function barVariableWidth which produces a bar plot with different widths and colors for each bar. For a preview see http://rosa.unipr.it/FSDA/barVariableWidth.html. |
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8.5.1 | Added a series of routines for the estimation of integrated and instantaneous variance of a diffusion process via Fourier analysis [Mancino, Recchioni, Sanfelici, ``Fourier-Malliavin Volatility Estimation. Theory and Practice'', 2017, Springer NY |
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8.5.0 | New routines for robust correspondence analysis added |
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8.4.5 | Option commonslope added to tclustreg, tclustregeda and tclustregIC (see for example http://rosa.unipr.it/FSDA/tclustreg.html) . Fixed minor bugs. |
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8.4.4 | New function biplotFS which calls biplotAPP to create the dynamic boxplot (for a preview of the help of this function see http://rosa.unipr.it/FSDA/biplotFS.html). Improvements in function pcaFS (see http://rosa.unipr.it/FSDA/pcaFS.html) |
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8.4.3 | Added option tag in FSR.m in order to tag the plots which are produced.
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8.4.2 | Improvements in functions CorAna and CorAnaplot. New dataset citiesItaly added |
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8.4.1 | New function pcaFS and new app for dynamic biplot (prerelease version) |
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8.4.0 | FSDA 2020b. See release_notes.html for the details of the new version |
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8.3.4 | New function scatterboxplot which creates scatter diagram with marginal boxplots |
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8.3.3 | resubmitted version due to connection problems |
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8.3.2 | Corrected some typos in the documentation |
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8.3.1 | New function waterfallchart.m to create waterfall charts (see https://en.wikipedia.org/wiki/Waterfall_chart). Function funnelplot.m renamed funnelchart.m |
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8.3.0 | New function funnelplot to create funnel charts
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8.2.3 | Improved javascripts for the HTML help files and minor changes |
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8.2.2 | Corrected minor bug in function tclustregeda |
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8.2.1 | Added new regression clustering datasets. More details in the release_notes.html file |
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8.2.0 | Prerelease 2020b |
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8.1.1 | Updated file readme.md |
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8.1.0 | First release where installation file has been created programmatically. |
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8.0.3 | Typo corrected |
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8.0.2 | New upload due to connection problems |
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8.0.1 | Corrected small bug in file docrootFS |
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8.0.0 | See https://github.com/UniprJRC/FSDA/blob/master/helpfiles/FSDA/release_notes.html for the details or file release_notes.html inside the toolbox |
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7.5.1 | Procedure for copying html help files made easier. |
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7.5.0 | New functions for Power divergence, VIOM model and simulateLM. |
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7.4.1 | Minor typos |
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7.4 | Function LTStsVarSel.m now extends variable selection to AR components. File simulateTS.m does not need anymore the Econometrics toolbox.
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7.3.5 | Solved minor bug in function mcd |
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7.3.4 | Logo updated |
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7.3.3 | Logo updated |
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7.3.2 | Logo updated |
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7.3.1 | Logo updated |
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7.3 | Apps images bug solved. Improved version of some html pages. |
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7.2.0 | startup.m removed. Output of the examples of HTML files now available for downloading. More details in getting_started.mlx page. |
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7.1.3 | HTML pointers files inside (FSDAroot)/helpfiles/pointersHTML regenerated.
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7.1.2.3 | License files updated |
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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. |
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7.1.2.1 | Typo fixed |
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7.1.2 | Deleted space in the installation folder |
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7.1.1 | Improved file GettingStarted.mlx |
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7.1 |
FSDA Toolbox contains more than 300 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.
Marco Riani (2021). FSDA (https://www.mathworks.com/matlabcentral/fileexchange/72999-fsda), MATLAB Central File Exchange. Retrieved .
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Very well done!
Advanced
great I just need it
Very useful
A very useful feature.
Great!
Excellent tool to evaluate and understand the data being analyzed.
it's great
Extrimely useful, especially for analysing data for marketing. Thank you!
Great!
Dear Jonas, we thank you for your suggestions. In version 8.4.3 of FSDA we made the modifications you suggested. More precisely:
1. We have added option tag in FSR.m in order to tag the plots, which are produced. For a preview of the documentation see link: http://rosa.unipr.it/FSDA/FSR.html#input_argument_namevalue_tag
2. Now mdrplot.m, mmdplot.m, mdrrsplot.m and mmdrsplot.m have an additional output in order to show the list of brushed units for each brushing operation, see for example this link: http://rosa.unipr.it/fsda/mdrrsplot.html#ExtraExample_7
In FSRcore.m one could possibly add the "Tag" to the figure, so that we are able to modify the plots later on. Also, it would be nice to obtain the indices of the "brushed" data points as well as the "brushing group" in mdrplot.m. Currently, I modify several functions, just to get a feedback. Thus, any update will cause some troubles.
However, beside from this minor issues: GREAT JOB, thank you!
Good idea to add use-cases. Thanks Mohammed. This will require some time, but in the meantime you can find an important usecase at this link: https://ec.europa.eu/jrc/en/publication/robust-estimation-monthly-prices-goods-traded-european-union. Everything you see there is based on FSDA functions.
For a short intro please see the related GitHub web site
https://uniprjrc.github.io/FSDA/
or the video https://www.youtube.com/watch?v=VyPyoecUdQU
Wonderful! Please add a short into/usecase pdf
I like FSDA!
Great stuff!