Package: bullseye 1.0.1

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]

bullseye_1.0.1.tar.gz
bullseye_1.0.1.zip(r-4.7)bullseye_1.0.1.zip(r-4.6)bullseye_1.0.1.zip(r-4.5)
bullseye_1.0.1.tgz(r-4.6-any)bullseye_1.0.1.tgz(r-4.5-any)
bullseye_1.0.1.tar.gz(r-4.7-any)bullseye_1.0.1.tar.gz(r-4.6-any)
bullseye_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bullseye/json (API)

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

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

Pkgdown/docs site:https://cbhurley.github.io

On CRAN:

Conda:

5.01 score 2 stars 17 scripts 546 downloads 30 exports 80 dependencies

Last updated from:d942bd1592. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK207
source / vignettesOK273
linux-release-x86_64OK210
macos-release-arm64OK159
macos-oldrel-arm64OK150
windows-develOK119
windows-releaseOK121
windows-oldrelOK122
wasm-releaseOK180

Exports:ace_coradd_nobs_to_pairwiseas.pairwisepair_acepair_cancorpair_chipair_controlpair_corpair_dcorpair_gkGammapair_gkTaupair_kendallpair_methodspair_minepair_nmipair_polychorpair_polyserialpair_scagnosticspair_spearmanpair_tauApair_tauBpair_tauCpair_tauWpair_uncertaintypairwisepairwise_bypairwise_multipairwise_scoresplot_pairwiseplot_pairwise_linear

Dependencies:admiscbase64encbslibcacachemcliclustercodetoolscolorspacecpp11DendSerdigestdplyrevaluatefarverfastmapfontawesomefontBitstreamVerafontLiberationfontquiverforeachfsgclusgdtoolsgenericsggiraphggplot2gluegtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemvtnormnlmepermutepillarpkgconfigpolycorpurrrqapR6rappdirsRColorBrewerRcppregistryrlangrmarkdownS7sassscalesseriationstringistringrsystemfontstibbletidyrtidyselecttinytexTSPutf8vctrsveganviridisLitewithrxfunyaml

Calculating pairwise scores using bullseye.
Calculating correlation and other association measures | Calculating multiple measures | Calculating grouped measures | Scagnostic measures | Converting symmetric matrices to pairwise and vice-versa. | Converting structures from package correlation:
Rendered fromcalc_pairwise.Rmdusingknitr::rmarkdown

Last update: 2025-05-09
Started: 2024-07-22

Visualising pairwise scores using bullseye.
Visualising associations | Visualising multiple scores | Visualising multiple scagnostic scores | Linear display for filtered pairwise objects
Rendered fromvis_pairwise.Rmdusingknitr::rmarkdown

Last update: 2025-05-09
Started: 2024-07-22

Integrating bullseye with other packages.
Using data structures from bullseye with other packages | corrplot visualisations | linkspotter visualisations | Using bullseye visualisations with other packages. | Using other visualisations with bullseye results.
Rendered fromintegrating.Rmdusingknitr::rmarkdown

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

Readme and manuals

Help Manual

Help pageTopics
Calculates ace based transformations and correlation, handling missing values and factors.ace_cor
Adds number of observations column to pairwise tibbleadd_nobs_to_pairwise
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
Kendall's correlationpair_kendall
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
Spearman correlationpair_spearman
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 summarising variable pairs 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