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

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/linim.R

Description

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

Usage

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  ## 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

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.

Author(s)

\spatstatAuthors

.

See Also

mean, median, quantile,

mean.im.

Examples

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  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)

spatstat.linnet documentation built on July 17, 2021, 9:07 a.m.