diag.panel.splom.density: Diagonal Density Panels

In tactile: New and Extended Plots, Methods, and Panel Functions for 'lattice'

Diagonal Density Panels

Description

Plots univariate density estimates estimates to be used in a lattice::splom() call with the diag.panel argument.

Usage

diag.panel.splom.density(
  x,
  bw = "nrd0",
  adjust = 1,
  kernel = "gaussian",
  weights = NULL,
  n = 512,
  ...
)

Arguments

x	data vector corresponding to that row / column (which will be the same for diagonal 'panels').
bw	the smoothing bandwidth to be used. The kernels are scaled such that this is the standard deviation of the smoothing kernel. (Note this differs from the reference books cited below, and from S-PLUS.) bw can also be a character string giving a rule to choose the bandwidth. See bw.nrd. The default, "nrd0", has remained the default for historical and compatibility reasons, rather than as a general recommendation, where e.g., "SJ" would rather fit, see also Venables and Ripley (2002). The specified (or computed) value of bw is multiplied by adjust.
adjust	the bandwidth used is actually adjust*bw. This makes it easy to specify values like ‘half the default’ bandwidth.
kernel	the smoothing kernel to be used. See stats::density() for options.
weights	numeric vector of non-negative observation weights, hence of same length as x. The default NULL is equivalent to weights = rep(1/nx, nx) where nx is the length of (the finite entries of) x[]. If na.rm = TRUE and there are NA's in x, they and the corresponding weights are removed before computations. In that case, when the original weights have summed to one, they are re-scaled to keep doing so. Note that weights are not taken into account for automatic bandwidth rules, i.e., when bw is a string. When the weights are proportional to true counts cn, density(x = rep(x, cn)) may be used instead of weights.
n	the number of equally spaced points at which the density is to be estimated. When n > 512, it is rounded up to a power of 2 during the calculations (as fft is used) and the final result is interpolated by approx. So it almost always makes sense to specify n as a power of two.
...	Further arguments passed on to lattice::diag.panel.splom() and lattice::panel.lines().

See Also

lattice::diag.panel.splom(), lattice::splom(), stats::density().

Examples

splom(~ iris[1:4],
  data = iris,
  diag.panel = diag.panel.splom.density,
  pscales = 0
)

tactile documentation built on May 31, 2023, 9:47 p.m.