mean.linim

0th

Percentile

Mean, Median, Quantiles of Pixel Values on a Linear Network

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

Keywords
methods, spatial, univar
Usage
# S3 method for linim
mean(x, …)

# S3 method for linim median(x, …)

# S3 method for linim 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.

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.

See Also

mean, median, quantile,

mean.im.

Aliases
  • mean.linim
  • median.linim
  • quantile.linim
Examples
# NOT RUN {
  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)
# }
Documentation reproduced from package spatstat, version 1.59-0, License: GPL (>= 2)

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