| break.ward {mining} | R Documentation |
Quantize a one-dimensional variable by calling a clustering routine.
break.ward(x,n=2,plot=T) break.hclust(x,n=2,method="ward",plot=T) break.kmeans(x,n=2,plot=T)
x |
a numerical vector |
n |
the desired number of bins |
method |
argument given to hclust |
plot |
If TRUE, a histogram with break lines is plotted
(hist.hclust or plot.breaks).
For break.ward and break.hclust, also shows a merging trace
(plot.hclust.trace). |
These are convenience routines which simply call the appropriate
clustering routine (ward, hclust, or
kmeans), convert
the output to a break vector, and make plots.
A break vector, suitable for use in cut
or hist.
Tom Minka
x <- c(rnorm(700,-2,1.5),rnorm(300,3,0.5)) break.ward(x,2) break.hclust(x,2,method="complete") break.kmeans(x,2) x <- c(rnorm(700,-2,0.5),rnorm(1000,2.5,1.5),rnorm(500,7,0.1)) break.ward(x,3) break.hclust(x,3,method="complete") break.kmeans(x,3)