XLSTAT Premium
The complete 240+ XLSTAT features in one attractively-priced package.
With XLSTAT Premium, get the most out of your data with our most complete package
The Premium solution is an advanced yet affordably priced statistical solution that includes all of the 240+ XLSTAT features currently available. In XLSTAT Premium we have included it all so you’ll have access to any method, any time.
Prepare data, visualize, explore, analyze, take decisions, predict. Take advantage of all of what data analysis tools offer today in one powerful yet user-friendly software that will reveal everything your data has to say in just a few clicks.
XLSTAT Premium includes all of the Basic+ and Applied features.
Describing data
- Descriptive statistics (including Box plots and scattergrams)
- Histograms
- Reliability Analysis
- Normality tests
- Contingency table (descriptive statistics)
- Similarity/Dissimilarity matrices (correlation…)
- Multicollinearity statistics
- Quantiles estimation
- Resampled statistics
- Biserial correlation
- Variable characterization
- Pivot table
Analyzing data
- Principal Component Analysis (PCA)
- Factorial analysis of mixed data (PCAmix)
- Correspondence Analysis (CA)
- Multiple Correspondence Analysis (MCA)
- Principal Coordinate Analysis
- Multidimensional Scaling (MDS)
- Factor analysis
- Discriminant Analysis (DA)
- Agglomerative Hierarchical Clustering (AHC)
- k-means clustering
- Univariate clustering
- Gaussian mixture models
Modeling data
- Distribution fitting
- Linear regression
- ANOVA (Analysis of variance)
- Welch and Brown-Forsythe one-way ANOVA
- ANCOVA (Analysis of Covariance)
- Multivariate Analysis of Variance (MANOVA)
- Logistic regression (Binary, Ordinal, Multinomial, …)
- Ordinal logit model
- Log-linear regression (Poisson regression)
- Quantile regression
- Cubic splines
- Nonparametric regression (Kernel and Lowess)
- Nonlinear regression
- Partial Least Squares regression (PLS)
- PLS discriminant analysis
- Repeated measures Analysis of Variance (ANOVA)
- Mixed models
- Ordinary Least Squares regression (OLS)
- Principal Component Regression (PCR)
- Two-stage least squares regression
- LASSO Regression
Machine Learning
- Fuzzy k-means clustering
- k-means clustering
- One-class Support Vector Machine
- Support Vector Machine
- K Nearest Neighbors (KNN)
- Naive Bayes classifier
- DBSCAN (Density-Based Spatial Clustering of Applications with Noise)
- Classification and regression random forests
- Classification and regression trees
- Gaussian mixture models
- Association rules
- Model performance Indicators
Parametric tests
- Test for one proportion
- Test for two proportions
- k proportions test
- Multinomial goodness of fit test
- One-sample t-test and z-test
- Two-sample t-test and z-test
- One-sample variance test
- Two-sample comparison of variances
- k-sample comparison of variances
- Multidimensional tests (Mahalanobis, …)
- TOST (Equivalence test)
Nonparametric tests
- One sample Wilcoxon Signed-Rank test
- Non parametric tests on two independent samples
- Non parametric tests on two paired samples
- Kruskal-Wallis test
- Friedman test
- Page test
- McNemar's test
- Cochran's Q test
- Durbin and Skillings-Mack tests
- Cochran-Mantel-Haenszel test
- One sample runs test
- Mood test (Median test)
Sensory data analysis
- Preference Mapping (PREFMAP)
- Internal preference mapping
- Penalty analysis
- Product characterization
- Panel analysis
- CATA data analysis
- Temporal Dominance of Sensations (TDS)
- Time-Intensity
- TURF analysis
- Generalized Bradley-Terry model
- Sensory shelf life analysis
- Design of experiments for sensory discrimination tests
- Sensory discrimination tests
- DOE for sensory data analysis
- Multiple Factor Analysis (MFA)
- Generalized Procrustes Analysis (GPA)
- Sensory wheel
- STATIS
- CATATIS
- TCATA
- Free Sorting data analysis
- CLUSTATIS
- CLUSCATA
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
Survival analysis
- Life table analysis
- Kaplan-Meier analysis
- Cox proportional hazards models
- Proportional Hazards Model with interval censored data
- Sensitivity and specificity analysis
- ROC curves
- Nelson-Aalen analysis
- Cumulative incidence
- Parametric survival regression (Weibull model)
- Parametric survival curves
- Propensity Score Matching
Time series analysis
- Time series descriptive statistics
- Time series transformation
- Smoothing of time series
- ARIMA
- Mann-Kendall Trend Tests
- Cointegration tests
- Unit root and stationarity tests
- Homogeneity tests for time series
- Heteroscedasticity tests
- Durbin-Watson test
- Cochrane-Orcutt model
- Fourier transform
- Spectral analysis
XLSTAT Basic+
XLSTAT Premium includes all XLSTAT Basic+ features.
View more
Tutorials for Premium
#09 Statistiques Exploratoires dans Excel avec XLSTAT
XLSTAT
#10 Analyse en Composantes Principales : Théorie dans Excel avec XLSTAT
XLSTAT
#17 Classification Ascendante Hiérarchique dans Excel avec XLSTAT
XLSTAT
#03 Médiane, Quartiles et Box Plot dans Excel avec XLSTAT
XLSTAT
- OS
- Windows
- VERSIONS
- Win7, Win8, Win10
- OS
- Mac OS X
- VERSIONS
- ≥ 10.10
XLSTAT is a leader in software for statistical analysis in MS Excel.
Since 1993, we have worked continuously to bring you and some other 100,000 users from more than 120 countries a powerful, versatile, and above all user-friendly and affordable software to meet all of your statistical needs.
Featuring over 240 standard and advanced statistical tools, XLSTAT works as a seamless add-on to MS Excel and Google Sheets (free limited version only), allowing you to easily analyze and reformat your data within Excel.XLSTAT is compatible with both Windows and Mac.
XLSTAT uses pioneering computing techniques so that you get actionable results at unbeatable speeds: parallel computing allows you to take full advantage of all your computer processors.
Today XLSTAT offers a wide variety of industry/field specific solutions designed for each and every one of you.
So make way for a statistical software that will change the way you work.