Man pages for bullseye
Visualising Multiple Pairwise Variable Correlations and Other Scores
| ace_cor | Calculates ace based transformations and correlation,... |
| as.matrix.pairwise | Converts a pairwise to a symmetric matrix. Uses the first... |
| bullseye-package | bullseye: Visualising Multiple Pairwise Variable Correlations... |
| pair_ace | Alternating conditional expectations correlation |
| pair_cancor | Canonical correlation |
| pair_chi | Pearson's Contingency Coefficient for association between... |
| pair_control | Default scores calculated by 'pairwise_scores' |
| pair_cor | Pearson, Spearman or Kendall correlation |
| pair_dcor | Distance correlation |
| pair_gkGamma | Goodman Kruskal's Gamma for association between ordinal... |
| pair_gkTau | Goodman Kruskal's Tau for association between ordinal... |
| pair_methods | Pairwise score functions available in the package |
| pair_mine | MINE family values |
| pair_nmi | Normalized mutual information |
| pair_polychor | Polychoric correlation |
| pair_polyserial | Polyserial correlation |
| pair_scagnostics | Graph-theoretic scagnostics values |
| pair_tauA | Kendall's tau A for association between ordinal factors. |
| pair_tauB | Kendall's tau B for association between ordinal factors. |
| pair_tauC | Stuarts's tau C for association between ordinal factors. |
| pair_tauW | Kendall's W for association between ordinal factors. |
| pair_uncertainty | Uncertainty coefficient for association between factors. |
| pairwise | A generic function to create a data structure for every... |
| pairwise_by | Constructs a pairwise result for each level of a by variable. |
| pairwise_multi | Calculates multiple scores |
| pairwise_scores | Calculates scores or conditional scores for a dataset |
| plot_pairwise | Pairwise plot in a matrix layout |
| plot.pairwise | Plot method for class 'pairwise'. |
| plot_pairwise_linear | Pairwise plot in a linear layout |
