Routine |
Mark of Introduction |
Purpose |
|---|---|---|
| g03aaf
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14 | nagf_mv_prin_comp Performs principal component analysis |
| g03acf
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14 | nagf_mv_canon_var Performs canonical variate analysis |
| g03adf
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14 | nagf_mv_canon_corr Performs canonical correlation analysis |
| g03baf
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15 | nagf_mv_rot_orthomax Computes orthogonal rotations for loading matrix, generalized orthomax criterion |
| g03bcf
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15 | nagf_mv_rot_procrustes Computes Procrustes rotations |
| g03bdf
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22 | nagf_mv_rot_promax ProMax rotations |
| g03caf
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15 | nagf_mv_factor Computes maximum likelihood estimates of the parameters of a factor analysis model, factor loadings, communalities and residual correlations |
| g03ccf
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15 | nagf_mv_factor_score Computes factor score coefficients (for use after g03caf) |
| g03daf
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15 | nagf_mv_discrim Computes test statistic for equality of within-group covariance matrices and matrices for discriminant analysis |
| g03dbf
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15 | nagf_mv_discrim_mahal Computes Mahalanobis squared distances for group or pooled variance-covariance matrices (for use after g03daf) |
| g03dcf
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15 | nagf_mv_discrim_group Allocates observations to groups according to selected rules (for use after g03daf) |
| g03eaf
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16 | nagf_mv_distance_mat Computes distance matrix |
| g03ecf
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16 | nagf_mv_cluster_hier Hierarchical cluster analysis |
| g03eff
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16 | nagf_mv_cluster_kmeans -means cluster analysis |
| g03ehf
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16 | nagf_mv_cluster_hier_dendrogram Constructs dendrogram (for use after g03ecf) |
| g03ejf
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16 | nagf_mv_cluster_hier_indicator Computes cluster indicator variable (for use after g03ecf) |
| g03faf
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17 | nagf_mv_multidimscal_metric Performs principal coordinate analysis, classical metric scaling |
| g03fcf
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17 | nagf_mv_multidimscal_ordinal Performs non-metric (ordinal) multidimensional scaling |
| g03gaf
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24 | nagf_mv_gaussian_mixture Fits a Gaussian mixture model |
| g03zaf
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15 | nagf_mv_z_scores Produces standardized values (-scores) for a data matrix |