XLSTAT version 2019.1.3

Our new version XLSTAT 2019.1.3 is now available! 

XLSTAT 2019.1.3 is a maintenance release which will allow you to access improvements, advanced options and increase the performance of your software. Installing this version is recommended for all users.


How to get XLSTAT 2019.1.3?

If you are currently using our trial version or you have a valid license, you can download this version at:

If you have a perpetual license without access to free upgrades and maintenance, you can order an upgrade via the My XLSTAT portal or contact us for further information. 


What's new?

Principal Component Analysis

You can now import large text file (csv or txt) and run a PCA on millions of data. Launch the PCA dialog box and simply click on the button as shown below to change the data selection mode.

When the button shows an orange paper sheet, you will be able to import a flat file and display a list of the imported variables.

A detailed tutorial on importing a flat file with XLSTAT is available here

Multiple Correspondence Analysis

You can now import large text file (csv or txt) and run a MCA on millions of data. Launch the MCA dialog box and simply click on the button as shown below to change the data selection mode.

When the button shows an orange paper sheet, you will be able to import a flat file and display a list of the imported variables.

A detailed tutorial on importing a flat file with XLSTAT is available here

Mixed Models

In Mixed models, you can now compute Type III test of fixed effects.

Type III test should be preferred for interpretation instead of type I or II when the model is built on unbalanced data sets and it includes a significant interaction term.

Data Sampling

It is now possible to display the generated samples side by side within the same table. This display will facilitate the data selection for further analysis.

In addition, a new import method has been added to allow data sampling from large text files (same as above).

A detailed tutorial on data sampling is available here

All the above features are available in all XLSTAT solutions. 


Latest events

This module focuses on Analysis of Variance, but this technique makes assumptions about the underlying distributions in our data

This course covers the excellent features in XLSTAT for investigating, visualising and modelling data sets with measurements on many variables.

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