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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).

Version: 1.3.0
Depends: R (≥ 3.2.0)
Imports: shiny, visNetwork, infotheo, minerva, energy, mclust, rAmCharts, pbapply, ggplot2, dplyr, tidyr, shinybusy
Suggests: knitr, rmarkdown
Published: 2020-07-23
DOI: 10.32614/CRAN.package.linkspotter
Author: Alassane Samba [aut, cre], Orange [cph]
Maintainer: Alassane Samba <alassane.samba at orange.com>
BugReports: https://github.com/sambaala/linkspotter/issues
License: MIT + file LICENSE
URL: https://github.com/sambaala/linkspotter
NeedsCompilation: no
Materials: README NEWS
CRAN checks: linkspotter results

Documentation:

Reference manual: linkspotter.pdf
Vignettes: Introduction to Linkspotter

Downloads:

Package source: linkspotter_1.3.0.tar.gz
Windows binaries: r-devel: linkspotter_1.3.0.zip, r-release: linkspotter_1.3.0.zip, r-oldrel: linkspotter_1.3.0.zip
macOS binaries: r-release (arm64): linkspotter_1.3.0.tgz, r-oldrel (arm64): linkspotter_1.3.0.tgz, r-release (x86_64): linkspotter_1.3.0.tgz, r-oldrel (x86_64): linkspotter_1.3.0.tgz
Old sources: linkspotter archive

Reverse dependencies:

Reverse suggests: bullseye

Linking:

Please use the canonical form https://CRAN.R-project.org/package=linkspotter to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.