plot.polar.clust: Plot functions for polar dendrograms
In backlin/polarClust: Polar representation of clustering trees

Description Usage Arguments Value Author(s)

Class specific methods for class polar.clust. If you are not happy with the looks of the plot you can build it up manually by calling it with type="n" and add the annotation functions.

## S3 method for class 'polar.clust'
plot(x, type = c("l", "n"), labels, label.col,
  label.size = 1, las = 2, expand, axes = TRUE, ..., bg.col,
  grid.col = "gray90")

## S3 method for class 'polar.clust'
lines(x, lwd = c(1, 10), col, sector = c(0, 2 * pi),
  ...)

## S3 method for class 'polar.clust'
labels(object, r, sector = c(0, 2 * pi),
  cex = par("cex"), col, las = par("las"), ...)

## S3 method for class 'polar.clust'
points(x, sector = c(0, 2 * pi), col, ...)

`x`	`polar.clust` object.
`type`	Plot type. `"l"` is normal and `"n"` is blank (letting you add whatever layers you want manually.
`lines`	Whether to plot the trees branches.
`points`	Whether to plot the trees leaves.
`labels`	Whether to plot the leaves' labels.
`label.col`	Whether to colour labels by leaf colour.
`label.size`	Relative text size of labels.
`expand`	Controls how much white space should surround the plot. Use `expand=1` for no white space and larger numbers for more.
`axes`	Whether to plot axes or not.
`...`	Sent to `plot`.
`bg.col`	Background colour.
`grid.col`	Radial grid color.
`lwd`	Minimum and maximum branch widths.
`col`	Colour.
`sector`	The sector of the plot area to use, e.g. set `sector=c(1/2, 2)*pi` to leave one quadrant empty, giving room to put a `legend`.
`object`	Same as `x`. Named differently to keep S3 consistency.
`r`	Radius at which to plot the labels.
`cex`	Relative size, see `par` for details.
`las`	Label orientation, see `par`.