amacrine

Austin Hughes' data: a point pattern 
of displaced amacrine cells in the retina of a rabbit.
A marked point pattern.

datasets

spatial

A package for analysing spatial data,
	mainly Spatial Point Patterns,
	including multitype/marked points and spatial covariates,
	in any two-dimensional spatial region.
	Contains functions for exploratory data analysis,
	model-fitting, simulation, spatial sampling, model diagnostics,
	and formal inference. Data types include point patterns,
	line segment patterns, spatial windows, and
	pixel images. Point process models can be
	fitted to point pattern data. Cluster type models are fitted
	by the method of minimum contrast. Very general Gibbs point
	process models can be fitted to point pattern data
	using a function ppm similar to lm or glm. Models may
	include dependence on covariates, interpoint interaction
	and dependence on marks. Fitted models can be simulated automatically.
	Also provides facilities for formal inference (such as chi-squared
	tests) and model diagnostics (including simulation
	envelopes, residuals, residual plots and Q-Q plots).

Adrian Baddeley

spatstat

Spatial Point Pattern analysis, model-fitting, simulation, tests

amacrine function

An object of class <code>"ppp"</code>
 representing the point pattern of cell locations.
 Entries include
 <tabular>ll</tabular>{
 <code>x</code> 	Cartesian $x$-coordinate of cell <code>y</code> 	Cartesian $y$-coordinate of cell <code>marks</code> 	factor with levels <code>off</code> and <code>on</code> 	indicating ``off'' and ``on'' cells
 }
 See <code><a href="/link/ppp.object?package=spatstat&version=1.11-8" rd-options="" data-mini-rdoc="spatstat::ppp.object">ppp.object</a></code> for details of the format.

format

source

Austin Hughes' data: a point pattern 
of displaced amacrine cells in the retina of a rabbit.
152 ``on'' cells and 142 ``off'' cells in a rectangular sampling frame.The true dimensions of the rectangle are 1060 by 662 microns.
The coordinates here are scaled to a rectangle of height 1 and width
$1060/662 = 1.601$ so the unit of measurement is approximately 662 microns.The data were analysed by Diggle (1986).

amacrine: Hughes' Amacrine Cell Data

Description

Usage

Arguments

format

source

Notes

References