SOM Algorithm for the Analysis of Multivariate Environmental Data

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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