R: Visualising Multiple Pairwise Variable Correlations and Other Scores

# Visualising Multiple Pairwise Variable Correlations and Other Scores

## Documentation for package ‘bullseye’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ace_cor | Calculates ace based transformations and correlation, handling missing values and factors.
add_nobs_to_pairwise | Adds number of observations column to pairwise tibble
as.matrix.pairwise | Converts a pairwise to a symmetric matrix. Uses the first entry for each (x,y) pair.
as.pairwise | A generic function to create a data structure for summarising variable pairs in a dataset
pairwise | A generic function to create a data structure for summarising variable pairs in a dataset
pairwise.data.frame | A generic function to create a data structure for summarising variable pairs in a dataset
pairwise.easycorrelation | A generic function to create a data structure for summarising variable pairs in a dataset
pairwise.matrix | A generic function to create a data structure for summarising variable pairs in a dataset
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
pair_ace | Alternating conditional expectations correlation
pair_cancor | Canonical correlation
pair_chi | Pearson's Contingency Coefficient for association between factors.
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 factors.
pair_gkTau | Goodman Kruskal's Tau for association between ordinal factors.
pair_kendall | Kendall's correlation
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_spearman | Spearman correlation
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.
plot.pairwise | Plot method for class 'pairwise'.
plot_pairwise | Pairwise plot in a matrix layout
plot_pairwise_linear | Pairwise plot in a linear layout