O in short: STAT 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 ANversatile
|
Categories
|
|
|
|
|
|
XLSTAT 2022.4  Click to enlargeDescription:XLSTAT is a complete analysis and statistics add-in for Excel. It has been developed since 1993. XLSTAT includes more than 240 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.
 | Price $ 295 /

Purchase XLSTAT Get it Now(to see additional options, click Buy Now) Type: Demo File size: 227917 Kb Date: 10/14/2022 HomepageInstall support: Install and Uninstall OS: Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, Windows 10, WinServer, WinOther, WinVista, WinVista x64 System requirements: Excel 2003 and later Language: English, French, German, Italian, Japanese, Portuguese, Spanish Recent changes in this Major Update:Sample size calculator for sensory discrimination tests in Excel
CATATIS method - an improvement of the usual CATA data processing:
1. Ability to have sessions
2. Tests of the subjects' weights
3. Consistency/significance tests of the subjects' homogeneity
4. Inter-subject Repeatability Index | |
|