Nominal Data Mining Analysis


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Documentation for package ‘NIMAA’ version 0.1.0

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analyseNetwork Analyze the network (graph)
beatAML beatAML
drugComb drugComb
el2IncMatrix Convert Edge list to Incidence Matrix
extractSubMatrix Extract the percentage-cut-off non-missing sub-matrices in a given matrix.
findCluster Find clusters in one-partite graph
herbIngredient herbIngredient
imputeMissingValue Impute the missing value in the given matrix.
NIMAA NIMAA: A package for Nominal Data Mining Analysis.
plotBipartite Plot the graph based on input data
plotBipartiteInteractive Use the incidence matrix to plot an interactive bipartite graph figure
plotCluster Plot the clusters in one projection of the bipartite graph.
plotInput Plot the given data with heatmap figure.
robertson robertson
scoreCluster Score the clusters in one projection of the bipartite graph.
validateCluster Validate the accuracy of our clustering of the projection comparing to users' input.
validateImputation Validate different imputation methods' result comparing to user's input.
visualClusterInBipartite Plot the bipartite graph with color coding for different cluster in different projections.