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

mean.linim {spatstat.linnet} | R Documentation

## 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

`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)

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)

[Package spatstat.linnet version 2.3-1 Index]