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...e point. In the real data there are few clusters that have tighter spacing than produced in the example below. A plotdensity value of 150 or so will give a better visualization of the issue. Thanks. # EXAMPLE VIEW plotdensity<-150 x1<-rnorm(plotdensity) y1<-rnorm(plotdensity) plot(x1,y1) textLabels <- as.character(1:plotdensity) text(x1,y1,textLabels,pos=1) == I have also reviewed sunflowerplot.

...t(r2, theta, method = 3, overlay=1, lp.col = 0, polygon.col = "white") polar.plot(r/2+15, 2*theta, lp.col = "red", method = 1, rlimits=c(0,50), overlay =2, points.cex = 1.5) title(main="Overlay red points on white polygon on blue polygon") # theta axis labels as text textlabels<-c('N','E','S','W') polar.plot(r, theta, theta.clw = TRUE, theta.zero = pi/2, text.lab = textlabels , pi2.lab = FALSE, lines.lwd = 3, grid.lwd = 1, grid.col = "darkgreen", rlabel.method = 2, rlabel.axis = -pi/2, rlabel.cex = 2, rlabel.pos = NULL, rlabel...