New version 2020.1.1
A smart predictive tool that:
Discover this feaure under the XLSTAT.ai menu.
ANOVA (available in all XLSTAT solutions)
Our algorithm was optimized leading to a significant decrease in computational time. Run an ANOVA on large data sets including post hoc tests in just a few seconds. In addition, the Restricted ANOVA has been implemented. This model is useful when we have an interaction between a fixed factor and a random factor and assume that the sum of the interaction effects on the levels of the fixed factor is zero.
This feature is accessible under the Modeling data menu.
RANDOM FORESTS (available in all XLSTAT solutions except Basic)
It is now possible the split your data set into a training and a validation sample in order to confirm the fitted model. Available under the Machine learning menu.
TESTS ON CONTINGENCY TABLES (available in all XLSTAT solutions)
The p-values of Fisher's exact test of independence are now displayed per cell of the contingency table. Available under the Association tests menu.
Free Sorting tests are commonly used for the sensory characterization of products. Data obtained from such studies can be analyzed using our new feature with methods such as STATIS, MCA and CA. Access this feature under the Sensory data analysis menu.
Dynamic designs have been added to allow users to determine the best levels of control factors in order to improve the relationship between signal factors and output responses. A new option for adding interactions to the model is also available. This feature is available under the Designs of Experiments menu.
Automatically back-up your XLSTAT analyses and load previously saved files. This new tool is still in beta testing and is only available for Windows. Discover it under the Tools XLSTAT menu.
What's new in 2019.4?
Use the Demšar graph, also called Critical Differences plot, to visualize pairwise differences after performing a Friedman test followed by a post-hoc procedure. This feature can be found under the Visualizing data XLSTAT menu.
Often used in document classification or cross language retrieval, this text mining tool will help you to discover hidden semantics of words from a large set of documents. LSA uses a document-term matrix as input data which can be generated through the XLSTAT Feature Extraction. This feature is accessible under the Text mining XLSTAT menu.
Understand your customers life cycle, identify periods of high churn risk, and estimate the profits generated by your customers over an extended time period. Here, compared to the classic CLV model, the retention rate varies over time and cash flows depend on the time of cancelation. Accessible under the Marketing Tools XLSTAT menu.
Taguchi method is a popular engineering technique to optimize processes and improve the quality of products. It provides an improvement to full and fractional factorial designs. XLSTAT offers to study three parameters: the signal to noise ratios, the means and the standard deviations of the measured attributes.
Our algorithm used to generate designs of sensory discimination tests (e.g. triangle, tetrad, etc) has been revised and improved. An optimal design can be now achieved.
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