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).

Package details

AuthorAlassane Samba [aut, cre], Orange [cph]
MaintainerAlassane Samba <[email protected]>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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linkspotter documentation built on May 1, 2019, 10:25 p.m.