Package: bullseye 0.1.0

bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores

We provide a tidy data structure and visualisations for multiple or grouped variable correlations, general association measures scagnostics and other pairwise scores suitable for numerical, ordinal and nominal variables. Supported measures include distance correlation, maximal information, ace correlation, Kendall's tau, and polychoric correlation.

Authors:Amit Chinwan [aut], Catherine Hurley [aut, cre]

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NEWS

# Install 'bullseye' in R:
install.packages('bullseye', repos = c('https://cbhurley.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cbhurley/bullseye/issues

On CRAN:

5.10 score 1 stars 14 scripts 137 downloads 27 exports 78 dependencies

Last updated 3 months agofrom:613a77a236. Checks:OK: 5 ERROR: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-winOKOct 28 2024
R-4.5-linuxOKOct 28 2024
R-4.4-winOKOct 28 2024
R-4.4-macOKOct 28 2024
R-4.3-winERROROct 28 2024
R-4.3-macERROROct 28 2024

Exports:ace_coras.pairwisepair_acepair_cancorpair_chipair_controlpair_corpair_dcorpair_gkGammapair_gkTaupair_methodspair_minepair_nmipair_polychorpair_polyserialpair_scagnosticspair_tauApair_tauBpair_tauCpair_tauWpair_uncertaintypairwisepairwise_bypairwise_multipairwise_scoresplot_pairwiseplot_pairwise_linear

Dependencies:admiscbase64encbslibcacachemcliclustercodetoolscolorspacecpp11DendSerdigestdplyrevaluatefansifarverfastmapfontawesomeforeachfsgclusgenericsggiraphggplot2gluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellmvtnormnlmepermutepillarpkgconfigpolycorpurrrqapR6rappdirsRColorBrewerRcppregistryrlangrmarkdownsassscalesseriationstringistringrsystemfontstibbletidyrtidyselecttinytexTSPutf8uuidvctrsveganviridisLitewithrxfunyaml

Calculating pairwise scores using bullseye.

Rendered fromcalc_pairwise.Rmdusingknitr::rmarkdownon Oct 28 2024.

Last update: 2024-08-21
Started: 2024-07-22

Integrating bullseye with other packages.

Rendered fromintegrating.Rmdusingknitr::rmarkdownon Oct 28 2024.

Last update: 2024-08-21
Started: 2024-07-24

Visualising pairwise scores using bullseye.

Rendered fromvis_pairwise.Rmdusingknitr::rmarkdownon Oct 28 2024.

Last update: 2024-08-21
Started: 2024-07-22

Readme and manuals

Help Manual

Help pageTopics
Calculates ace based transformations and correlation, handling missing values and factors.ace_cor
Converts a pairwise to a symmetric matrix. Uses the first entry for each (x,y) pair.as.matrix.pairwise
Alternating conditional expectations correlationpair_ace
Canonical correlationpair_cancor
Pearson's Contingency Coefficient for association between factors.pair_chi
Default scores calculated by 'pairwise_scores'pair_control
Pearson, Spearman or Kendall correlationpair_cor
Distance correlationpair_dcor
Goodman Kruskal's Gamma for association between ordinal factors.pair_gkGamma
Goodman Kruskal's Tau for association between ordinal factors.pair_gkTau
Pairwise score functions available in the packagepair_methods
MINE family valuespair_mine
Normalized mutual informationpair_nmi
Polychoric correlationpair_polychor
Polyserial correlationpair_polyserial
Graph-theoretic scagnostics valuespair_scagnostics
Kendall's tau A for association between ordinal factors.pair_tauA
Kendall's tau B for association between ordinal factors.pair_tauB
Stuarts's tau C for association between ordinal factors.pair_tauC
Kendall's W for association between ordinal factors.pair_tauW
Uncertainty coefficient for association between factors.pair_uncertainty
A generic function to create a data structure for every variable pair in a datasetas.pairwise pairwise pairwise.data.frame pairwise.easycorrelation pairwise.matrix
Constructs a pairwise result for each level of a by variable.pairwise_by
Calculates multiple scorespairwise_multi
Calculates scores or conditional scores for a datasetpairwise_scores
Pairwise plot in a matrix layoutplot_pairwise
Pairwise plot in a linear layoutplot_pairwise_linear
Plot method for class 'pairwise'.plot.pairwise