plot_regions-methods

plot_regions,sbm-method

Methods for function <code>plot_regions</code>

methods

The Swash-Backwash Model for the Single Epidemic Wave was developed by Cliff and Haggett (2006) <doi:10.1007/s10109-006-0027-8> to model the velocity of spread of infectious diseases across space. This package enables the calculation of the Swash-Backwash Model for user-supplied panel data on regional infections. The package also provides additional functions for bootstrap confidence intervals, country comparison, visualization of results, and data management.

Thomas Wieland

swash

Swash-Backwash Model for the Single Epidemic Wave

plot_regions-methods function

<dl><dt><code>signature(object = "sbm", col = "red", scale = FALSE, normalize_by_col = NULL, normalize_factor = 1)</code></dt>
<dd>Plots regional infection curves in \(N\) plots for \(N\) regions, with the number of columns equals 4 and the number of rows is calculated based the size of \(N\). Set the color by the argument <code>col</code>. If <code>scale</code> is <code>TRUE</code>, the y axis of the plots is set uniformly based on the maximum value across all regions. If the input data contains a column to normalize the infection numbers (such as regional population), the user may use this data to normalize the infection numbers by setting <code>normalize_by_col</code>. If this density value should be multiplied by a factor (e.g. regional infections per 100,000 inhabitants), this can be set with the argument <code>normalize_by_col</code> (default: 1).</dd>
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Methods

Author

Methods for Function plot_regions — plot_regions-methods

<dl>

<dt><code>signature(object = "sbm", col = "red", scale = FALSE, normalize_by_col = NULL, normalize_factor = 1)</code></dt>
<dd>Plots regional infection curves in \(N\) plots for \(N\) regions, with the number of columns equals 4 and the number of rows is calculated based the size of \(N\). Set the color by the argument <code>col</code>. If <code>scale</code> is <code>TRUE</code>, the y axis of the plots is set uniformly based on the maximum value across all regions. If the input data contains a column to normalize the infection numbers (such as regional population), the user may use this data to normalize the infection numbers by setting <code>normalize_by_col</code>. If this density value should be multiplied by a factor (e.g. regional infections per 100,000 inhabitants), this can be set with the argument <code>normalize_by_col</code> (default: 1).</dd>


</dl>

plot_regions-methods: Methods for Function `plot_regions`

Description

Arguments

Methods

Author