plot
method for flexmix-class
objects gives a
rootogram or histogram of the posterior probabilities.## S3 method for class 'flexmix,missing':
plot(x, y, mark=NULL, markcol=NULL,
col = NULL, eps=1e-4, root=TRUE, ylim=TRUE, main=NULL, xlab="",
ylab="", as.table=TRUE, endpoints=c(-0.04, 1.04),...)
"flexmix"
.eps
are ignored.TRUE
, a rootogram of the posterior probabilities
is drawn, otherwise a standard histogram.TRUE
, the y axes of all rootograms are aligned
to have the same limits, if FALSE
each y axis is scaled
separately. If a numeric vector is specified it is used as usuFALSE
(the default), panels are
drawn left to right, bottom to top (as in a graph); if
TRUE
, left to right, top to bottom.breaks
is unspecified. In do.breaks
, this specifies the interval
that is to be divided up. Usually in each component a lot of observations have posteriors
close to zero, resulting in a high count for the corresponding
bin in the rootogram which obscures the information in the other
bins. To avoid this problem, all probabilities with a posterior below
eps
are ignored.
A peak at probability one indicates that a mixture component is well seperated from the other components, while no peak at one and/or significant mass in the middle of the unit interval indicates overlap with other components.
Jeremy Tantrum, Alejandro Murua and Werner Stuetzle. Assessment and pruning of hierarchical model based clustering. Proceedings of the 9th ACM SIGKDD international conference on Knowledge Discovery and Data Mining, 197--205. ACM Press, New York, NY, USA, 2003.
Friedrich Leisch. Exploring the structure of mixture model components. In Jaromir Antoch, editor, Compstat 2004 - Proceedings in Computational Statistics, 1405--1412. Physika Verlag, Heidelberg, Germany, 2004. ISBN 3-7908-1554-3.