Bivariate Correlations Calculation and Visualization


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Documentation for package ‘linkspotter’ version 1.2.0

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
linkspotterComplete Linspotter complete runner
linkspotterGraph Linspotter graph runner
linkspotterGraphOnMatrix Linspotter graph on matrix
linkspotterOnFile Proccess Linkspotter on an external file
linkspotterUI Linspotter 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