spatstat (version 1.48-0)

mean.linim: Mean, Median, Quantiles of Pixel Values on a Linear Network

Description

Calculates the mean, median, or quantiles of the pixel values in a pixel image on a linear network.

Usage

"mean"(x, ...)
  "median"(x, ...)
  "quantile"(x, probs=seq(0,1,0.25), ...)

Arguments

x

A pixel image on a linear network (object of class "linim").

probs

Vector of probabilities for which quantiles should be calculated.

...

Arguments passed to other methods.

Value

For mean and median, a single number. For quantile, a numeric vector of the same length as probs.

Details

These functions calculate the mean, median and quantiles of the pixel values in the image x on a linear network.

An object of class "linim" describes a pixel image on a linear network. See linim.

The functions described here are methods for the generic mean, median and quantile for the class "linim".

See Also

mean, median, quantile,

mean.im.

Examples

  M <- as.mask.psp(as.psp(simplenet))
  Z <- as.im(function(x,y) {x-y}, W=M)
  X <- linim(simplenet, Z)
  X
  mean(X)
  median(X)
  quantile(X)