grouping variable to color-code the stripes. By default
cluster membership is used as groups.
type
plot distance to closest, closest and second-closest or
to all centroids?
beside
logical, make different stripes for different clusters?
col
vector of colors for clusters or groups.
gp.line, gp.bar, gp.bar2
graphical parameters for horizontal
lines and background rectangular areas, see
gpar.
number
logical, write cluster numbers on x-axis?
legend
logical, plot a legend for the groups?
ylim, ylab
graphical parameters for y-axis.
margins
margin of the plot.
...
further graphical parameters.
Details
A simple, yet very effective plot for visualizing the distance of each
point from its closest and second-closest cluster centroids is a
stripes plot. For each of the k clusters we have a rectangular area,
which we optionally vertically
divide into k smaller rectangles (beside=TRUE). Then we draw a
horizontal line segment for each data point marking the distance of
the data point from the corresponding centroid.
Author(s)
Friedrich Leisch
References
Friedrich Leisch. Neighborhood graphs, stripes and shadow plots for
cluster visualization. Statistics and Computing, 2009. Accepted for
publication on 2009-06-16.
Examples
bw05 <- bundestag(2005)
bavaria <- bundestag(2005, state="Bayern")
set.seed(1)
c4 <- cclust(bw05, k=4, save.data=TRUE)
plot(c4)
stripes(c4)
stripes(c4, beside=TRUE)
stripes(c4, type="sec")
stripes(c4, type="sec", beside=FALSE)
stripes(c4, type="all")
stripes(c4, groups=bavaria)
## ugly, but shows how colors of all parts can be changed
library("grid")
stripes(c4, type="all",
gp.bar=gpar(col="red", lwd=3, fill="white"),
gp.bar2=gpar(col="green", lwd=3, fill="black"))