Statistical Framework to Define Subgroups in Complex Datasets


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Documentation for package ‘Numero’ version 1.2.0

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nroAggregate Regional averages on a self-organizing map
nroColorize Assign colors based on value
nroDestratify Mitigate data stratification
nroImpute Impute missing values
nroKmeans K-means clustering
nroKohonen Self-organizing map
nroLabel Label pruning
nroMatch Best-matching districts
nroPair Match similar rows
nroPermute Permutation analysis of map layout
nroPlot Plot a self-organizing map
nroPostprocess Standardization using existing parameters
nroPreprocess Data cleaning and standardization
nroPrune Reduce collinearity within a dataset
nroRcppMatrix 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