MatStats

Management of data tables, similar to dataframe in R, with enhanced plotting facilities.
2.3K Downloads
Updated 17 Oct 2023

MatStats

A Matlab Toolbox for Data Exploration and Analysis, based on a data table class.

The toolbox is organized around a Table class, similar to the dataframe in R, which encapsulates data array together with row names, column names, table name. It also supports factor columns, such as categorical factors ("yes", "no"). Several utility methods are provided, and many plot functions have been override to automatically annotate the resulting plots with table meta-data when appropriate.

The toolbox also contains facilities for statistical analysis of data tables, such as principal component analysis, analysis of variance, or linear discriminant analysis. Again, intuitive methods are povided for exploring and analysing the results by taking into account the names of the rows or of the columns.

A presentation of the library is provided in the matStats-manual.pdf document.

Installation

Add-On installation

Matlab provides a packaging mechanism via Add-On. The MatStats Add-On may be installed via the following:

  • Seelct the "Add-Ons" tab from Matlab's main interface
  • Choose "Get Add-Ons...". This opens the Add-On Explorer window
  • Type "MatStats" in the search bar, and select the MatStats library.
  • Click the "Add" button to add the library to your local configuration

Manual installation

To install the toolbox:

  • download the zip archive of the latest release
  • unzip the file
  • add the 'matStats' directory to the Matlab path (see the "addpath" function from Matlab).

Some demontration scripts are provided in the "demo" directory.

Dependencies

The library has few (optional) dependencies:

The Matgeom dependency is automatically installed via the Add-On installation. Otherwise, dependencies need to be installed manually.

Cite As

David Legland (2024). MatStats (https://github.com/mattools/matStats/releases/tag/v1.1.4), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2022a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
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doc/matStats-manual/matlab/anova-iris

doc/matStats-manual/matlab/nmf

doc/matStats-manual/matlab/pca-cities

doc/matStats-manual/matlab/pca-iris

doc/matStats-manual/matlab/plots_basic

doc/matStats-manual/matlab/plots_iris

matStats

matStats/+tblui

matStats/+tblui/+actions

matStats/+tblui/+actions/+analysis

matStats/+tblui/+actions/+edit

matStats/+tblui/+actions/+file

matStats/+tblui/+actions/+plot

matStats/+tblui/+pca

matStats/@Anova

matStats/@CanDisc

matStats/@CanDisc/private

matStats/@LinearDiscriminantAnalysis

matStats/@LinearDiscriminantAnalysis/private

matStats/@Pca

matStats/@Pca/private

matStats/@Table

matStats/@Table/private

matStats/tabstats

tests

tests/anova

tests/pca

Version Published Release Notes
1.1.4

See release notes for this release on GitHub: https://github.com/mattools/matStats/releases/tag/v1.1.4

1.1.3

See release notes for this release on GitHub: https://github.com/mattools/matStats/releases/tag/v1.1.3

1.1.2

See release notes for this release on GitHub: https://github.com/mattools/matStats/releases/tag/v1.1.2

1.1.1.0

update of property names. Several new features and bug fixes.

1.1.0.0

add curly braces indexing, fix bugs in Table.read.

1.0.0.0

0.2.0.0

See release notes for this release on GitHub: https://github.com/mattools/matStats/releases/tag/v0.2

0.1.0.0

See release notes for this release on GitHub: https://github.com/mattools/matStats/releases/tag/v0.1

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.