Visualising Multiple Pairwise Variable Correlations and Other Scores

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Documentation for package ‘bullseye’ version 1.0.0

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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