hamster

Point pattern of cell nuclei in hamster kidney, each nucleus classified as
  either `dividing' or `pyknotic'.
  A multitype 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. Also
        supports three-dimensional point patterns, and space-time point
        patterns in any number of dimensions. Contains over 1000
        functions for plotting spatial data, exploratory data analysis,
        model-fitting, simulation, spatial sampling, model diagnostics,
        and formal inference. Data types include point patterns, line
        segment patterns, spatial windows, pixel images and
        tessellations. Exploratory methods include K-functions, nearest
        neighbour distance and empty space statistics, Fry plots, pair
        correlation function, kernel smoothed intensity, relative risk
        estimation with cross-validated bandwidth selection, mark
        correlation functions, segregation indices, mark dependence
        diagnostics etc. Point process models can be fitted to point
        pattern data using functions ppm, kppm, slrm similar to glm.
        Models may include dependence on covariates, interpoint
        interaction, cluster formation 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

hamster 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>"dividing"</code>
 and <code>"pyknotic"</code>.
 }
 See <code><a href="/link/ppp.object?package=spatstat&version=1.23-1" rd-options="" data-mini-rdoc="spatstat::ppp.object">ppp.object</a></code> for details of the format.

format

Dr W. A. Aherne, Department of Pathology, University of
  Newcastle-upon-Tyne, UK. Data supplied by Prof. Peter Diggle

source

These data were presented and analysed by Diggle (1983, section 7.3). The data give the positions of the centres of the nuclei of certain
 cells in a histological
 section of tissue from a laboratory-induced metastasising lymphoma
 in the kidney of a hamster. The nuclei are classified as either
 "pyknotic" (corresponding to dying cells) or "dividing" (corresponding
 to cells arrested in metaphase, i.e. in the act of dividing). The
 background void is occupied by unrecorded, interphase cells in
 relatively large numbers. The sampling window is a square, originally about 0.25 mm square
 in real units, which has been rescaled to the unit square.

hamster: Aherne's hamster tumour data

Description

Usage

Arguments

format

source

Notes

References