Man pages for Numero
Statistical Framework to Define Subgroups in Complex Datasets
| 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 |
| nroPostprocess | Standardization using existing parameters |
| nroPreprocess | Data cleaning and standardization |
| 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.subrgoup | Interactive subgroup assignment |
| numero.summary | Summarize subgroup statistics |
