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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).

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VersionRepositoryFileSize
1.3.0 2026-04-09 windows/windows R-4.5 linkspotter_1.3.0.zip 356.3 KiB

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