bullseye

bullseye-package

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.

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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.

Catherine Hurley

Visualising Multiple Pairwise Variable Correlations and Other
Scores

Amit Chinwan

bullseye-package function

Maintainer: Catherine Hurley <a href="/link/catherine.hurley%40mu.ie?package=bullseye&version=0.1.2" data-mini-rdoc="bullseye::catherine.hurley@mu.ie">catherine.hurley@mu.ie</a>
Authors:<ul>
<li>Amit Chinwan <a href="/link/amit.chinwan.2019%40mumail.ie?package=bullseye&version=0.1.2" data-mini-rdoc="bullseye::amit.chinwan.2019@mumail.ie">amit.chinwan.2019@mumail.ie</a></li>
</ul>

Author

bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores — bullseye-package

Maintainer: Catherine Hurley <a href='mailto:catherine.hurley@mu.ie'>catherine.hurley@mu.ie</a>
Authors:<ul>
<li>Amit Chinwan <a href='mailto:amit.chinwan.2019@mumail.ie'>amit.chinwan.2019@mumail.ie</a></li>
</ul>

bullseye-package: bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores

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