R: Scatterplot Matrix for Pixel Images on a Linear Network

pairs.linim {spatstat.linnet} | R Documentation

## Scatterplot Matrix for Pixel Images on a Linear Network

### Description

Produces a scatterplot matrix of the pixel values in two or more pixel images on a linear network.

### Usage

    ## S3 method for class 'linim'
    pairs(..., plot=TRUE, eps=NULL)

### Arguments

`...` | Any number of arguments, each of which is either a pixel image on a linear network (object of class `"linim"`), a pixel image (object of class `"im"`), or a named argument to be passed to `pairs.default`.
`plot` | Logical. If `TRUE`, the scatterplot matrix is plotted.
`eps` | Optional. Spacing between sample points on the network. A positive number.

### Details

This is a method for the generic function `pairs` for the class of pixel images on a linear network.

It produces a square array of plot panels, in which each panel shows a scatterplot of the pixel values of one image against the corresponding pixel values of another image.

At least two of the arguments `...` should be a pixel image on a linear network (object of class `"linim"`). They should be defined on the same linear network, but may have different pixel resolutions.

First the pixel values of each image are extracted at a set of sample points equally-spaced across the network. Then `pairs.default` is called to plot the scatterplot matrix.

Any arguments in `...` which are not pixel images will be passed to `pairs.default` to control the plot.

### Value

Invisible. A `data.frame` containing the corresponding pixel values for each image. The return value also belongs to the class `plotpairsim` which has a plot method, so that it can be re-plotted.

### 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

`pairs.default`, `pairs.im`

### Examples

      fit <- lppm(chicago ~ marks * (x+y))
      lam <- predict(fit)
      do.call(pairs, lam)

[Package spatstat.linnet version 2.0-0 Index]