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.
Version: 2018.5XLSTAT is a complete analysis and statistics add-in for Excel. It has been developed since 1993.
License: Free To Try $295.00
Operating System: Windows
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.
Version 2018.5: What's New? New statistical features and options: Feature extraction, Probability Plot, Correlation tests, ANOVA
Version 2018.2: What's New? New statistical features and options: Word cloud, ELECTRE I, Conjoint design, Random Forests
Version 2018.1: What's New? Random Forests, Proportional Hazards Model with interval censored data, Correlation tests, XLSTAT Designer
Version 2017.5: What's New? A new feature: - Time-Intensity And many exciting new options: - Methods to account for autocorrelation & heteroscedasticity in Linear Regression - Intraclass Correlation Coefficient & other new options in Reliability Analysis - New options in Principal Component Analysis
Version 2015.3: A new feature to test the difference between an observed variance and a theoretical one; the Hellinger option to compute distances in the CATA correspondence analysis, the Phillips-Perron option to compute unit root / stationarity tests on heteroscedastic data; new options in KNN, scatter plots.