Last data update: 2014.03.03

R: Visualize the result of adpclust()
plot.adpclustR Documentation

Visualize the result of adpclust()

Description

Depends on the settings of adpclust, draw figures showing silhouette vs. number of clusters, f vs. delta with selected centroids, and original data (projected to the first two principal components if dim > 2) colored by cluster assignments.

Usage

## S3 method for class 'adpclust'
plot(x, cols = "default", ...)

Arguments

x

an object of class "adpclust". Result of adpclust().

cols

vector of colors used to distinguish different clusters. Recycled if necessary.

...

Not used.

Examples

## Load a data set with 3 clusters
data(clust3)
## Automatically select cluster centroids
ans <- adpclust(clust3, centroids = "auto")
plot(ans)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(ADPclust)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ADPclust/plot.adpclust.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.adpclust
> ### Title: Visualize the result of adpclust()
> ### Aliases: plot.adpclust
> 
> ### ** Examples
> 
> ## Load a data set with 3 clusters
> data(clust3)
> ## Automatically select cluster centroids
> ans <- adpclust(clust3, centroids = "auto")
> plot(ans)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>