sommix_eval: Generate multiple plots of SOM model results

Description Usage Arguments Details Value

View source: R/sommixplot.R

Description

Plots SOM output using Parallel Coordinate Plots, Multi-dimensional Scaling (MDS), and Sammons mapping. kmeans, wards, and PCA

Usage

1
sommix_eval(som_obj, labtype = "IDs", labsize = 1, legcex = 1, colormod = NULL)

Arguments

som_obj

a SOM object

labtype

determines label type. "IDs" and "XYs" available.

labsize

sets label size

legcex

sets legend cex

colormod

sets colorscheme

Details

Additional visualization of SOM results can lead to stronger interpretion. Panel (a) presenst a parallel coordinates plot of SOM profile results in order visualize differences in the individual components. Each vertical bar represents a variable axis where minimum values are on the bottom and maximum values are on top. A line is then used to connect component values for each profile. Panel (b) presents a multidimensional scaling plot that allows visualization of how well the SOM profile results span the original data space and how they compare to profiles generated from kmeans and Ward's heirarchical clustering. Panel (c) presents a Sammon's mapping of SOM profiles that effectively visualizes the the SOM using a distance preserving map projection. This provides a clearer picture of similarity/dissimilarity among SOM profiles.

Value

Panel a-c plot SOM profile results using a range of techniques designed to enhance understanding of results. A list is also returned that includes the following items.


johnlpearce/sommix documentation built on Jan. 7, 2021, 11:38 p.m.