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

  ## S3 method for class 'linim'
mean(x, ...)

  ## S3 method for class 'linim'
median(x, ...)

  ## S3 method for class 'linim'
quantile(x, probs=seq(0,1,0.25), ...)

Arguments

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".

Value

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

Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.

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)