plot.smerc_cluster {smerc} | R Documentation |
smerc_cluster
.Plot clusters (the centroids of the regions in each cluster) in different colors. The most likely cluster is plotted with solid red circles by default. Points not in a cluster are black open circles. The other cluster points are plotted with different symbols and colors.
## S3 method for class 'smerc_cluster' plot( x, ..., nclusters = length(x$clusters), ccol = NULL, cpch = NULL, add = FALSE, usemap = FALSE, mapargs = list() )
x |
An object of class scan to be plotted. |
... |
Additional graphical parameters passed to the
|
nclusters |
Number of clusters to plot. |
ccol |
Fill color of the plotted points. Default is
|
cpch |
Plotting character to use for points in each cluster. Default is NULL, indicating pch = 20 for the most likely cluster and then pch = 2, 3, .., up to the remaining number of clusters. |
add |
A logical indicating whether results should be drawn on existing map. |
usemap |
Logical indicating whether the maps::map
function should be used to create a plot background for
the coordinates. Default is |
mapargs |
A list of arguments for the map function. |
data(nydf) coords = with(nydf, cbind(longitude, latitude)) out = scan.test(coords = coords, cases = floor(nydf$cases), pop = nydf$pop, nsim = 0, longlat = TRUE, alpha = 1) plot(out, nclusters = 3) ## plot output for new york state # specify desired argument values mapargs = list(database = "county", region = "new york", xlim = range(out$coords[,1]), ylim = range(out$coords[,2])) # needed for "county" database (unless you execute library(maps)) data(countyMapEnv, package = "maps") plot(out, nclusters = 3, usemap = TRUE, mapargs = mapargs)