MatStats

Management of data tables, similar to dataframe in R, with enhanced plotting facilities.

"Table" is a class for handling flat data tables together with row and column labels. It provides functions for reading/writing from/to text files, and for quickly displaying in a uitable object. Example:
tab = Table.read('fisherIris.txt');
show(tab);
write(tab, 'tab2.txt');
Several plot functions are overloaded such that row or column labels are automatically added to the plot.
figure;
plot(tab('PetalLength'), tab('PetalWidth'), '*');

It provides facilities to access data using name of columns. It also support basic editing features: concatenation, extraction of sub-tables...

Subtables can be obtained via parens indexing:
tab2 = tab(1:30, :);

Table content can be accessed by curly braces indexing:
firstSpecies = tab{1:5, 'Species'};

Raw numeric data are stored in the 'data' property, and categorical information in the 'levels' field:
petalLength = tab('PetalLength');
petalLength(1:10).data
species = tab.levels{5}

Several functions are available for quick overview of data stored in Table object: summary(), min(), max()...

A "Pca" class is also provided, that allows to quiclky perform principal component analysis and to keep column names in results.

A quick overview of the features is given in the demo script.

More information can be found on the GitHub page of the project: https://github.com/mattools/matStats. A user manual is also provided: https://github.com/mattools/matStats/releases/download/v1.1/matStats-manual-1.1.pdf