R: Bivariate Correlations Calculation and Visualization

# Bivariate Correlations Calculation and Visualization

## Documentation for package ‘linkspotter’ version 1.3.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

BeEFdiscretization.numfact | BeEF: Best Equal-Frequency discretization
BeEFdiscretization.numnum | BeEF: Best Equal-Frequency discretization (for a couple of quantitative variables)
clusterVariables | Variable clustering (using Normal Mixture Modeling for Model-Based Clustering : mclust)
corCouplesToMatrix | Couples to matrix
createShinyAppFolder | Ready-for-deployment shiny app folder creation
EFdiscretization | EF: Equal-Frequency discretization
is.not.informative.variable | Is a vector an non informative variable
linkspotterComplete | Linkspotter complete runner
linkspotterGraph | Linkspotter graph runner
linkspotterGraphOnMatrix | Linkspotter graph on matrix
linkspotterOnFile | Process Linkspotter on an external file
linkspotterUI | Linkspotter user interface runner
matrixToCorCouples | Matrix to couples
maxNMI | Maximal Normalized Mutual Information (MaxNMI)
multiBivariateCorrelation | Calculation of all the bivariate correlations in a dataframe
NormalizedMI | Maximal Normalized Mutual Information (MaxNMI) function for 2 categorical variables