# mean.linim

##### 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.

##### 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

##### 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 1.57-1, License: GPL (>= 2)*