grid_distribution

Distribution of pairs over a grid of fix size.

misc

dplot

Empirical statistical analysis, visualization and simulation of
diffusion and contagion processes on networks. The package implements algorithms
for calculating network diffusion statistics such as transmission rate, hazard
rates, exposure models, network threshold levels, infectiousness (contagion),
and susceptibility. The package is inspired by work published in Valente,
et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN:
9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011)
<DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others.

George Vega Yon

netdiffuseR

Analysis of Diffusion and Contagion Processes on Networks

Thomas Valente

Stephanie Dyal

Timothy Hayes

grid_distribution function

<dl><dt>x</dt>
<dd>Numeric vector of size \(n\)</dd>
<dt>y</dt>
<dd>Numeric vector of size \(n\)</dd>
<dt>nlevels</dt>
<dd>Integer scalar. Number of bins to return</dd></dl>

Arguments

<pre><code>
# Generating random vectors of size 100
x &lt;- rnorm(100)
y &lt;- rnorm(100)</code></pre># Calculating distribution
grid_distribution(x,y,20)

Examples

Distribution over a grid — grid_distribution

<dl>

<dt>x</dt>
<dd>Numeric vector of size \(n\)</dd>


<dt>y</dt>
<dd>Numeric vector of size \(n\)</dd>


<dt>nlevels</dt>
<dd>Integer scalar. Number of bins to return</dd>

</dl>

<pre><code>
# Generating random vectors of size 100
x &lt;- rnorm(100)
y &lt;- rnorm(100)

# Calculating distribution
grid_distribution(x,y,20)
</code></pre>

grid_distribution: Distribution over a grid

Description

Usage

Value

Arguments

Examples

Details

See Also