# mean.linim: Mean, Median, Quantiles of Pixel Values on a Linear Network In spatstat.linnet: Linear Networks Functionality of the 'spatstat' Family

 mean.linim 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)

\spatstatAuthors

.

`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)
```

spatstat.linnet documentation built on March 18, 2022, 6:40 p.m.