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linkspotter: Bivariate Correlations Calculation and Visualization
Compute and visualize using the 'visNetwork' package all the bivariate correlations of a dataframe. Several and different types of correlation coefficients (Pearson's r, Spearman's rho, Kendall's tau, distance correlation, maximal information coefficient and equal-freq discretization-based maximal normalized mutual information) are used according to the variable couple type (quantitative vs categorical, quantitative vs quantitative, categorical vs categorical).
Getting started
Browse package contents
Package details |
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| Author | Alassane Samba [aut, cre], Orange [cph] |
| Maintainer | Alassane Samba <alassane.samba@orange.com> |
| License | MIT + file LICENSE |
| Version | 1.3.0 |
| URL | https://github.com/sambaala/linkspotter |
| Package repository | View on CRAN |
| Installation |
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