R: Nominal Data Mining Analysis

# Nominal Data Mining Analysis

## Documentation for package ‘NIMAA’ version 0.2.2

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

## 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
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