XLSTAT Features overview

XLSTAT Features by solution.

XLSTAT-Base features

Solutions features

Check the appropriate solution to know what specific features you will find inside. Selecting more than one at the same time displays the combined features of the selection.

Sensory data analysis
 
 
 
Preference Mapping (PREFMAP)
Generalized Procrustes Analysis (GPA)
Multiple Factor Analysis (MFA)
Penalty analysis
Product characterization
DOE for sensory data analysis
TURF analysis
Internal preference mapping
Panel analysis
Generalized Bradley-Terry model
Sensory shelf life analysis
CATA data analysis
Sensory discrimination tests
Design of experiments for sensory discrimination tests
Temporal Dominance of Sensations (TDS)
Conjoint analysis
 
 
 
 
 
 
DoE for conjoint analysis
DoE for choice based conjoint (CBC) analysis
Conjoint analysis
Choice based conjoint analysis
Simulation for conjoint analysis
MONANOVA - Monotone regression
Conditional Logit model
MaxDiff analysis
Time series analysis
 
 
 
 
 
 
Fourier transform
Mann-Kendall Trend Tests
Homogeneity tests for time series
Spectral analysis
Time series descriptive statistics
Time series transformation
Smoothing of time series
ARIMA
Cochrane-Orcutt model
Durbin-Watson test
Unit root and stationarity tests
Heteroscedasticity tests
Cointegration tests
Monte Carlo simulations (only for Windows OS)
 
 
 
 
Monte Carlo simulations
Power analysis
 
 
 
 
 
Statistical Power for mean comparison
Statistical Power to compare variances
Statistical Power for proportion comparison
Statistical Power for comparing correlations
Statistical Power for linear regression
Statistical Power for ANOVA / ANCOVA / Repeated measures ANOVA
Statistical Power for logistic regression
Statistical Power for Cox model
Sample size for clinical trials
Statistical Process Control
 
 
 
 
 
 
Subgroup charts
Individual charts
Attribute charts
Time Weighted charts
Pareto charts
Gage Repeatability and Reproducibility (Quantitative)
Gage Repeatability and Reproducibility for Attributes
Design of Experiments
 
 
 
 
 
 
Screening designs
Surface response designs
Analysis of a screening design
Analysis of a surface response design
Mixture design
Analysis of a mixture design
Survival analysis
 
 
 
 
 
Sensitivity and specificity analysis
ROC curves
Nelson-Aalen analysis
Cumulative incidence
Life table analysis
Kaplan-Meier analysis
Cox proportional hazards models
Parametric survival regression (Weibull model)
Parametric survival curves
Method validation
 
 
 
 
 
 
Method comparison (Bland Altman, …)
Passing and Bablok regression
Deming regression
OMICS data analysis
 
 
 
 
 
Differential expression
Heat map
Multiblock data analysis
 
 
 
Generalized Procrustes Analysis (GPA)
Canonical Correspondence Analysis (CCA and partial CCA)
Multiple Factor Analysis (MFA)
Redundancy analysis (RDA)
Canonical Correlation Analysis (CCorA)
Path modeling (only for Windows OS)
 
 
 
 
 
PLS Path Modelling
Regularized Generalized Canonical Correlation Analysis (RGCCA)
Generalized Structured Component Analysis (GSCA)
Dose effect analysis
 
 
 
 
 
Dose effect analysis
Four/Five-parameter parallel lines logistic regression

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