| Category |
Function |
| Preparing data |
Data Sampling
Distribution Sampling *
Discretization Coding *
Presence/Absence coding *
Creating Dummy Variables *
Coding by Ranks *
Partition recoding *
Transformation *
Anamorphosis * |
|
| Describing data |
Descriptive Statistics (includings and scattergrams)
Histograms
Normality tests (including q-q plots and p-p plots) *
Contingency Table (Two-way Table)
Correlations and Similarity/Dissimilarity Matrix * |
|
| Analyzing data |
Factor analysis
Principal Component Analysis (PCA)
Gabriel Biplot *
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
Parallel Coordinates * |
|
| Modeling data and forecasting |
Distribution Fitting
Linear Regression
ANOVA
ANCOVA
Logistic regression (Logit, Probit, ...)
Nonlinear regression
Nonparametric regression (Kernel and Lowess) |
|
| Correlation and Association Tests |
Tests on Contingency Tables *
Correlation tests *
Mantel test *
|
|
| Parametric Tests |
One sample t and z tests
Two sample t and z tests
Multiple comparisons tests
Two sample comparison of variances
k samples comparison of variances
Comparison of one proportion
Comparison of two proportions
Comparison of k proportions |
|
| Non Parametric Tests |
Non parametric Tests on two independent samples: Kolmogorov-Smirnov, Mann-Whitney
Non parametric Tests on two paired samples: Wilcoxon's signed-ranks test and sign test
Non parametric Tests on k independent samples: Kruskal-Wallis' test
Non parametric Tests on k paired samples: Friedman's test * |
|
| Utilities |
DataFlagger
MinMax Search
Delete Invisible Sheets *
Delete Hyperlinks *
Categories -> Numerical Codes *
Numerical Codes -> Categories * |
|
