XLSTAT®-Pro - Analysefunktionen

Funktionsumfang der Grundversion von XLSTAT®-Pro:
Die deutsche Grundversion von XLSTAT®-Pro ist erst seit Kurzem in deutscher Sprache erhältlich. Die Übersetzung der Analysefunktionen auf dieser Seite ist in Arbeit.

Preparing data

Data Sampling
Distribution Sampling *
Quantitative Variable in Classes
Coding *
Presence/Absence coding
Full Disjunctive Coding *
Coding by Ranks *
Partition recoding *
Transformation *
Anamorphosis *

Describing data

Descriptive Statistics (including box plots Q-Q plots and scattergrams)
Histograms
Contingency Table (Two-way Table)
Correlations and Similarity/Dissimilarity Matrix *

Analyzing data

Factor Analysis
Principal Component Analysis (PCA)
Discriminant analysis (DA)
Correspondence Analysis (CA)
Multiple Correspondence Analysis (MCA)
Multidimensional Scaling (MDS)
Agglomerative Hierarchical Clustering (AHC)
k-means Clustering
Univariate Clustering *

Visualizing data

AxesZoomer
Easy Labels
MicroMover
Plot transformer
Scatter plots

Modeling data and forecasting

Distribution Fitting
Linear Regression
ANOVA / ANCOVA
Models for binary response data (Logistic regression, Logit, Probit)
Nonlinear regression
Kernel regression *

Tests

Tests on Contingency Tables
Correlation tests *
Mantel test *
Parametric tests for comparison of two samples (z, Student, Fisher, Levene, Bartlett)
Comparison of two proportions
Non parametric Tests on two independent samples:
Kolmogorov-Smirnov, Mann-Whitney, Wilcoxon
Non parametric Tests on two paired samples:
Wilcoxon's signed-ranks test and the sign test
Non parametric Tests on k independent samples: Kruskal-Wallis test
Non parametric Tests on k paired samples: Friedman's test *

Excel Utilities

DataFlagger
MinMax Search
Delete Invisible Sheets *
Delete Hyperlinks *
Categories -> Numerical Codes *
Numerical Codes -> Categories *

* nur Windows-Version

ZUSATZMODULE

Für spezielle Analysen kann XLSTAT®-Pro mit verschiedenen Zusatzmodulen erweitert werden.