Statistical Framework to Define Subgroups in Complex Datasets


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Documentation for package ‘Numero’ version 1.8.4

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nroAggregate Regional averages on a self-organizing map
nroColorize Assign colors based on value
nroDestratify Mitigate data stratification
nroKmeans K-means clustering
nroKohonen Self-organizing map
nroLabel Label pruning
nroMatch Best-matching districts
nroPermute Permutation analysis of map layout
nroPlot Plot a self-organizing map
nroPlot.save Plot a self-organizing map
nroPostprocess Standardization using existing parameters
nroPreprocess Data cleaning and standardization
nroRcppMatrix Safety check for Rcpp calls
nroRcppVector Safety check for Rcpp calls
nroSummary Estimate subgroup statistics
nroTrain Train self-organizing map
numero.clean Clean datasets
numero.create Create a self-organizing map
numero.evaluate Self-organizing map statistics
numero.plot Plot results from SOM analysis
numero.prepare Prepare datasets for analysis
numero.quality Self-organizing map statistics
numero.subgroup Interactive subgroup assignment
numero.summary Summarize subgroup statistics