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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.0 |
rolling linux/jammy R-4.5 | linkspotter_1.3.0.tar.gz |
358.2 KiB |
1.3.0 |
rolling linux/noble R-4.5 | linkspotter_1.3.0.tar.gz |
358.2 KiB |
1.3.0 |
rolling source/ R- | linkspotter_1.3.0.tar.gz |
264.2 KiB |
1.3.0 |
latest linux/jammy R-4.5 | linkspotter_1.3.0.tar.gz |
358.2 KiB |
1.3.0 |
latest linux/noble R-4.5 | linkspotter_1.3.0.tar.gz |
358.2 KiB |
1.3.0 |
latest source/ R- | linkspotter_1.3.0.tar.gz |
264.2 KiB |
1.3.0 |
2026-04-26 source/ R- | linkspotter_1.3.0.tar.gz |
264.2 KiB |
1.3.0 |
2026-04-23 source/ R- | linkspotter_1.3.0.tar.gz |
264.2 KiB |
1.3.0 |
2026-04-09 windows/windows R-4.5 | linkspotter_1.3.0.zip |
356.3 KiB |
1.3.0 |
2025-04-20 source/ R- | linkspotter_1.3.0.tar.gz |
264.2 KiB |