R: SOM Algorithm for the Analysis of Multivariate Environmental Data

# SOM Algorithm for the Analysis of Multivariate Environmental Data

## Documentation for package ‘SOMEnv’ version 1.1.2

- DESCRIPTION file

## Help Pages

BmusCentr | BMUs of the cluster centroids
BmusClus | Cluster assignment for the experimental data
BoxClus | Boxplot of prototype variables split by cluster and variable
BoxUnits | Boxplot of prototype variables split by cluster
ClusCol | Custom color sequence for clusters
CodeCoord | Prototype coordinates for graph
DailyBar | Plot of daily percentages for each cluster
db_indexR | Evaluate Davis-Bouldin index for the cluster split of data input
Freq | Percentage frequency for each cluster
FreqD | Daily percentage frequency for each cluster
FreqM | Monthly percentage frequency for each cluster
Hexa | Function to draw an hexagon around a point
Hexagons | Function to draw an hexagonal SOM map
HexagonsClus | SOM map with clusters
HexagonsVar | Heatmaps
HexaHits | Hits distribution on the SOM map
HexaHitsQuant | Hits distribution on the SOM map
HexaQerrs | Relative quantization error distribution on the SOM map
HexaQerrsQuant | Realtive quantization error distribution on the SOM map
kmeans_clustersRProg | K-means algorithm applied for different values of clusters
NClusChange | Custom number sequence for clusters
paramQuant | Basic statistics of values present in the input vector
SomEnvGUI | The function starts the SOMEnv GUI
SOMtopol | Topographical error for the SOM map
som_dimR | Calculate map dimensions
som_initR | Calculate initialization matrix for SOM training
som_kmeansRProg | K-means algorithm applied for a specific number of clusters
som_mdistR | Evaluate pairwise distance matrix for the given codebook
som_umatR | Unified distance matrix for the SOM map
UmatGraph | U-matrix plot