Routine Name |
Mark of Introduction |
Purpose |
G03AAF Example Text Example Data | 14 | Performs principal component analysis |
G03ACF Example Text Example Data | 14 | Performs canonical variate analysis |
G03ADF Example Text Example Data | 14 | Performs canonical correlation analysis |
G03BAF Example Text Example Data | 15 | Computes orthogonal rotations for loading matrix, generalized orthomax criterion |
G03BCF Example Text Example Data | 15 | Computes Procrustes rotations |
G03CAF Example Text Example Data | 15 | Computes maximum likelihood estimates of the parameters of a factor analysis model, factor loadings, communalities and residual correlations |
G03CCF Example Text Example Data | 15 | Computes factor score coefficients (for use after G03CAF) |
G03DAF Example Text Example Data | 15 | Computes test statistic for equality of within-group covariance matrices and matrices for discriminant analysis |
G03DBF Example Text Example Data | 15 | Computes Mahalanobis squared distances for group or pooled variance-covariance matrices (for use after G03DAF) |
G03DCF Example Text Example Data | 15 | Allocates observations to groups according to selected rules (for use after G03DAF) |
G03EAF Example Text Example Data | 16 | Computes distance matrix |
G03ECF Example Text Example Data | 16 | Hierarchical cluster analysis |
G03EFF Example Text Example Data | 16 | K-means cluster analysis |
G03EHF Example Text Example Data | 16 | Constructs dendrogram (for use after G03ECF) |
G03EJF Example Text Example Data | 16 | Computes cluster indicator variable (for use after G03ECF) |
G03FAF Example Text Example Data | 17 | Performs principal co-ordinate analysis, classical metric scaling |
G03FCF Example Text Example Data | 17 | Performs non-metric (ordinal) multidimensional scaling |
G03ZAF Example Text Example Data | 15 | Produces standardized values (z-scores) for a data matrix |