panel.contour {spatstat.model}

Panel Plots using Colour Image or Contour Lines

Description

These functions can be passed to pairs or coplot to determine what kind of plotting is done in each panel of a multi-panel graphical display.

Usage

panel.contour(x, y, ..., sigma = NULL)

panel.image(x, y, ..., sigma = NULL)

panel.histogram(x, ...)

Arguments

x, y

Coordinates of points in a scatterplot.

...

Extra graphics arguments, passed to contour.im, plot.im or rect, respectively, to control the appearance of the panel.

sigma

Bandwidth of kernel smoother, on a scale where x and y range between 0 and 1.

Details

These functions can serve as one of the arguments panel, lower.panel, upper.panel, diag.panel passed to graphics commands like pairs or coplot, to determine what kind of plotting is done in each panel of a multi-panel graphical display. In particular they work with pairs.im.

The functions panel.contour and panel.contour are suitable for the off-diagonal plots which involve two datasets x and y. They first rescale x and y to the unit square, then apply kernel smoothing with bandwidth sigma using density.ppp. Then panel.contour draws a contour plot while panel.image draws a colour image.

The function panel.histogram is suitable for the diagonal plots which involve a single dataset x. It displays a histogram of the data.

Value

Null.

Author(s)

Adrian Baddeley [e-mail], Rolf Turner [e-mail] and Ege Rubak [e-mail].

See Also

pairs.im, pairs.default, panel.smooth

Examples

  pairs(bei.extra,
        panel      = panel.contour,
        diag.panel = panel.histogram)
  with(bei.extra,
        pairs(grad, elev, 
              panel      = panel.image,
              diag.panel = panel.histogram))
  pairs(marks(finpines), panel=panel.contour, diag.panel=panel.histogram)