plot.clusterpath: plot clusterpath

In clusterpathRcpp: Fast agglomerative convex clustering, original Rcpp implementation

Description

Plot method for clusterpath data frames. These data frames contain all the breakpoints for each dimension, so we can plot lines to represent exactly the entire path of optimal solutions.

Usage

## S3 method for class 'clusterpath'
plot(x, type = "l", main = "The entire regularization path of optimal solutions for each variable", 
    xlab = expression(paste("location in the regularization path  ", 
        lambda)), ylab = expression(paste("optimal coefficient  ", 
        alpha)), strip = strip.custom(strip.names = TRUE), layout = c(1, 
        nlevels(x$col)), ...)

Arguments

x	data frame returned by clusterpath.l1.id
type	plot type, see ?xyplot
main	main title
xlab	annotation for the horizontal axis
ylab	annotation for the vertical axis
strip	strip function for annotation in the strips
layout	layout for the plot, by default the panels are stacked vertically
...	Other arguments for xyplot

Value

lattice xyplot showing the entire path of solutions.

Author(s)

Toby Dylan Hocking

Examples

sim <- gendata(N=20,D=5,K=5)
df <- clusterpath.l1.id(sim$mat)
plot(df)

df.iris <- clusterpath.l1.id(as.matrix(iris[,1:4]))
plot(df.iris)

clusterpathRcpp documentation built on May 2, 2019, 5:26 p.m.