Nominal Data Mining Analysis

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Documentation for package ‘NIMAA’ version 0.2.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

analyseNetwork	General properties of the network
beatAML	beatAML
drugComb	drugComb
extractSubMatrix	Extract the non-missing submatrices from a given matrix.
findCluster	Find clusters in projected unipartite networks
herbIngredient	herbIngredient
NIMAA	NIMAA: A package for Nominal Data Mining Analysis.
nominalAsBinet	Convert nominal data to a bipartite network
plotBipartite	Plot the bipartite network and the corresponding projected networks
plotBipartiteInteractive	Use the incidence matrix to plot an interactive bipartite network
plotCluster	Plot the clusters in one projection of the bipartite network
plotIncMatrix	Plot the incidence matrix.
predictEdge	Edge prediction of weighted bipartite network.
robertson	robertson
scoreCluster	Score the cluster analysis in a projected network based on additional internal measures.
validateCluster	Validate the cluster analysis in a projected network based on additional external measures.
validateEdgePrediction	Validate and compare edge prediction methods.
visualClusterInBipartite	Plot the bipartite graph with color coding for different clusters in both parts