| Routine Name |
Mark of Introduction |
Purpose |
| G03AAF
Example Text Example Data |
14 | nagf_mv_prin_comp Performs principal component analysis |
| G03ACF
Example Text Example Data |
14 | nagf_mv_canon_var Performs canonical variate analysis |
| G03ADF
Example Text Example Data |
14 | nagf_mv_canon_corr Performs canonical correlation analysis |
| G03BAF
Example Text Example Data |
15 | nagf_mv_rot_orthomax Computes orthogonal rotations for loading matrix, generalized orthomax criterion |
| G03BCF
Example Text Example Data |
15 | nagf_mv_rot_procrustes Computes Procrustes rotations |
| G03BDF
Example Text Example Data |
22 | nagf_mv_rot_promax ProMax rotations |
| G03CAF
Example Text Example Data |
15 | nagf_mv_factor Computes maximum likelihood estimates of the parameters of a factor analysis model, factor loadings, communalities and residual correlations |
| G03CCF
Example Text Example Data |
15 | nagf_mv_factor_score Computes factor score coefficients (for use after G03CAF) |
| G03DAF
Example Text Example Data |
15 | nagf_mv_discrim Computes test statistic for equality of within-group covariance matrices and matrices for discriminant analysis |
| G03DBF
Example Text Example Data |
15 | nagf_mv_discrim_mahal Computes Mahalanobis squared distances for group or pooled variance-covariance matrices (for use after G03DAF) |
| G03DCF
Example Text Example Data |
15 | nagf_mv_discrim_group Allocates observations to groups according to selected rules (for use after G03DAF) |
| G03EAF
Example Text Example Data |
16 | nagf_mv_distance_mat Computes distance matrix |
| G03ECF
Example Text Example Data |
16 | nagf_mv_cluster_hier Hierarchical cluster analysis |
| G03EFF
Example Text Example Data |
16 | nagf_mv_cluster_kmeans -means cluster analysis |
| G03EHF
Example Text Example Data |
16 | nagf_mv_cluster_hier_dendrogram Constructs dendrogram (for use after G03ECF) |
| G03EJF
Example Text Example Data |
16 | nagf_mv_cluster_hier_indicator Computes cluster indicator variable (for use after G03ECF) |
| G03FAF
Example Text Example Data |
17 | nagf_mv_multidimscal_metric Performs principal coordinate analysis, classical metric scaling |
| G03FCF
Example Text Example Data |
17 | nagf_mv_multidimscal_ordinal Performs non-metric (ordinal) multidimensional scaling |
| G03GAF
Example Text Example Data |
24 | nagf_mv_gaussian_mixture Fits a Gaussian mixture model |
| G03ZAF
Example Text Example Data |
15 | nagf_mv_z_scores Produces standardized values (-scores) for a data matrix |