oneOf

oneOf,matrix-method

Report one <code>patch</code> or <code>turtle</code> randomly selected among <code>agents</code>.

Build and run spatially explicit
agent-based models using only the R platform. 'NetLogoR' follows the same
framework as the 'NetLogo' software
(Wilensky (1999) <http://ccl.northwestern.edu/netlogo/>) and is a translation
in R of the structure and functions of 'NetLogo'.
'NetLogoR' provides new R classes to define model agents and functions to
implement spatially explicit agent-based models in the R environment.
This package allows benefiting of the fast and easy coding phase from the
highly developed 'NetLogo' framework, coupled with the versatility, power
and massive resources of the R software.
Examples of two models from the NetLogo software repository
(Ants <http://ccl.northwestern.edu/netlogo/models/Ants>) and
Wolf-Sheep-Predation
(<http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation>),
and a third, Butterfly, from
Railsback and Grimm (2012) <https://www.railsback-grimm-abm-book.com/>, all
written using 'NetLogoR' are available.
The 'NetLogo' code of the original version of these
models is provided alongside.
A programming guide inspired from the 'NetLogo' Programming Guide
(<https://ccl.northwestern.edu/netlogo/docs/programming.html>) and a dictionary
of 'NetLogo' primitives (<https://ccl.northwestern.edu/netlogo/docs/dictionary.html>)
equivalences are also available.
NOTE: To increment 'time', these functions can use a for loop or can be
integrated with a discrete event simulator, such as 'SpaDES'
(<https://cran.r-project.org/package=SpaDES>).
The suggested package 'fastshp' can be installed with
'install.packages("fastshp", repos = ("<https://rforge.net>"), type = "source")'.

Eliot J B

NetLogoR

Build and Run Spatially Explicit Agent-Based Models

Sarah Bauduin

Eliot J B McIntire

Alex M Chubaty

His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada 

oneOf function

<dl><dt>agents</dt>
<dd>Matrix (<code>ncol</code> = 2) with the first column <code>pxcor</code> and the second
column <code>pycor</code> representing the <code>patches</code> coordinates, or
<div class="sourceCode"></div><pre><code> Matrix (`ncol` = 3) with the first column "`pxcor` and the second
 column `pycor` representing the `patches` coordinates and the
 third column `id`, or</code></pre></dd> `AgentMatrix` object representing the moving `agents`, or Matrix (`ncol` = 2) with the first column `whoTurtles` and the
 second column `id`.
</dl>

Arguments

Author

One random agent — oneOf

<dl>

<dt>agents</dt>
<dd>Matrix (<code>ncol</code> = 2) with the first column <code>pxcor</code> and the second
column <code>pycor</code> representing the <code>patches</code> coordinates, or
<div class="sourceCode"><pre><code> Matrix (`ncol` = 3) with the first column "`pxcor` and the second
 column `pycor` representing the `patches` coordinates and the
 third column `id`, or

 `AgentMatrix` object representing the moving `agents`, or

 Matrix (`ncol` = 2) with the first column `whoTurtles` and the
 second column `id`.
</code></pre></div></dd>

</dl>

oneOf: One random `agent`

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples