kde2dplot: produces 2d kernel density plots.

In GENEAsphere: Visualisation of Raw or Segmented Accelerometer Data

Description

Creates a 2d kernel density plot.

Usage

kde2dplot(x, y = NULL, h, h.relative = 1, col = "red", add = FALSE,
  drawlabels = FALSE, n = 100, shade = TRUE, breaks = c(0.1, 0.25,
  0.5, 0.75, 0.9), ...)

Arguments

x	x coords
y	y coords
h	bandwidths in x,y direction
h.relative	adjustment to bandwidths relative to normal reference model. (For non-smooth data, will want < 1, probably.
col	colour to use
add	if FALSE, plot a whole new plot. Otherwise, superimpose on to existing plot.
drawlabels	A value of false will give no labels on the contours whereas true will.
n	resolution of underlying grid
shade	shade in the interiors of the contours?
breaks	breakpoints to plot contours at. These correspond to quantiles of the data - e.g. at 0.9, the space contained in the contours corresponds to an estimated 10 of the population, with the highest probability.
...	additional params for contour see codecontour

Details

Creates a 2d kernel density plot

GENEAsphere documentation built on Dec. 5, 2019, 5:11 p.m.