XLSTAT Mac - 2018.3

XLSTAT is a complete data analysis and statistics add-in for Excel. It includes regression (linear, logistic, nonlinear), multivariate data analysis, parametric tests, non parametric tests, ANOVA, ANCOVA, forecasting methods.

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XLSTAT Mac Full Download Summary

Released:	30 / 04 / 2018
Price:	295
Type:	Demo
Category:	Business::Math & Scientific Tools
Install Support:	Install and Uninstall
Platform:	OS X
OS:	Mac OS X
Limitations:	No limitations
Change Info:	What's New? New statistical features and options: Feature extraction, Probability Plot, Correlation tests, ANOVA
Size :	58.09 MB

XLSTAT is a complete analysis and statistics add-in for Excel.
It has been developed since 1993.
XLSTAT includes more than 200 features in general or field-specific solutions.
The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data analysis package.
It includes regression (linear, logistic, nonlinear), multivariate data analysis (Principal Component Analysis, Discriminant Analysis, Correspondence Analysis, Multidimensional Scaling, Agglomerative Hierarchical Clustering, K-means, K-Nearest Neighbors, Decision trees), correlation tests, parametric tests, non parametric tests, ANOVA, ANCOVA, mixed models and much more.
Field-specific solutions allow for advanced multivariate analysis (RDA, CCA, MFA), Preference Mapping and other sensometrics tools, Statistical Process Control, Simulations, Time series analysis, Dose response effects, Survival models, Conjoint analysis, PLS modelling, Structural Equation Modelling, OMICS data analysis...
Optional modules include 3D Visualization and Latent Class models.
The XLSTAT statistical analysis software is compatible with all Excel versions from 2003 to 2016.
A Mac version is also available on the XLSTAT website, and works on Excel 2011 & 2016.

XLSTAT is a complete analysis and statistics add-in for Excel. XLSTAT includes more than 200 features in general or field-specific solutions: regression (linear, logistic, nonlinear), multivariate data analysis (PCA, DA, CA, MCA, MDS), correlation tests, parametric and non parametric tests, ANOVA, ANCOVA... Field-specific solutions include tools for Sensometrics, Survival Analysis, Time Series. Optional modules include 3D & Latent Class models...