CRAN/E | linkspotter

linkspotter

Bivariate Correlations Calculation and Visualization

Installation

About

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).

github.com/sambaala/linkspotter
Bug report File report

Key Metrics

Version 1.3.0
R ≥ 3.2.0
Published 2020-07-23 1374 days ago
Needs compilation? no
License MIT
License File
CRAN checks linkspotter results

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Maintainer

Maintainer

Alassane Samba

alassane.samba@orange.com

Authors

Alassane Samba

aut / cre

Orange

cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Introduction to Linkspotter

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

linkspotter archive

Depends

R ≥ 3.2.0

Imports

shiny
visNetwork
infotheo
minerva
energy
mclust
rAmCharts
pbapply
ggplot2
dplyr
tidyr
shinybusy

Suggests

knitr
rmarkdown