![]() ![]() The p-values of Fisher’s exact test of independence are now displayed per cell of the contingency table. TESTS ON CONTINGENCY TABLES (available in all XLSTAT solutions) Available under the Machine learning menu. It is now possible the split your data set into a training and a validation sample in order to confirm the fitted model. RANDOM FORESTS (available in all XLSTAT solutions except Basic) This feature is accessible under the Modeling data menu. ![]() 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. In addition, the Restricted ANOVA has been implemented. Run an ANOVA on large data sets including post hoc tests in just a few seconds. Our algorithm was optimized leading to a significant decrease in computational time. Performs a comparison of the fitted modelsĭiscover this feaure under the XLSTAT.ai menu.ĪNOVA (available in all XLSTAT solutions) ![]() Identifies the appropriate models depending on your data type XLSTAT is pleased to announce its first 2020 release! What’s new? ![]()
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