XLSTAT version 2020.1.3
XLSTAT 2020.1.3 is now available! What’s new?
A new button has been added to the XLSTAT output sheet which allows you to quickly run an Agglomerative Hierarchical Clustering (AHC) after conducting a Principant Component Analysis (PCA) or other dimension reduction methods (MFA, FA, MCA, etc).
You can now select multiple columns of sample identifiers and carry out the independent test for each of the sample identifiers in one shot. Missing values in your data are no longer a limitation as an option for removing missing observations (tab Missing data) has been added.
This feature is accessible under the Parametric tests menu.
Color observation points within your Ternary plot based on the group they belong to. Use the new field of the Ternary dialog box, named Groups, for this purpose.
Available under the Visualizing data menu.
This new method validation tool consists of a bivariate scatter plot in which limits of acceptability and outliers are plotted. Commonly used in Laboratory Medicine to evaluate the performance of interlaboratory test procedures. XLSTAT implements methods as described in ISO 13528-2015-10 (algorithm A).
Access this feature under the Method Validation menu.
Powerful and faster computations are achieved due to the improvement of the Levenberg-Marquardt algorithm. Addition of the graph Residual values versus Fitted values for verifying the assumption of randomly distributed residuals with a homogeneous variance.
Access this feature under the Dose effect analysis menu.
A chart has been added to project each object of each configuration on the axes determined by STATIS. In a sensory data analysis, this graph helps you evaluate, for a given product, how close the assessors are to each other and which ones stand out.
Access this feature under the Sensory data analysis menu.
- Up and down arrow buttons (available in all XLSTAT solutions)
Convenient arrows now allow you to quickly move up and down any XLSTAT report sheet.
How to get XLSTAT 2020.1.3?
Version 2020.1.3 will provide you access to improvements, advanced options and increase the performance of your software. Installing this version is recommended to all users.
If you are currently using our trial version or if you have a valid license, you can download this version for free at:
If you have a perpetual license without access to free upgrades and maintenance, please order an upgrade via the My XLSTAT portal or contact us for further information.
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.
This short course delivered online will show consumer scientists how to use partial least squares in XLSTAT for relating consumer acceptability to sensory/analytic measures.