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