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.
## 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), ...)
x |
A pixel image on a linear network (object of class
|
probs |
Vector of probabilities for which quantiles should be calculated. |
... |
Arguments passed to other methods. |
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.
For mean and median, a single number.
For quantile, a numeric vector of the same length as probs.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.