plot.R0.R

Plot the R0/Rt value along with confidence interval

internal

Estimation of reproduction numbers for disease outbreak, based on
incidence data. The R0 package implements several documented methods. It is
therefore possible to compare estimations according to the methods used.
Depending on the methods requested by user, basic reproduction number
(commonly denoted as R0) or real-time reproduction number (referred to as
R(t)) is computed, along with a 95% Confidence Interval. Plotting outputs
will give different graphs depending on the methods requested : basic
reproductive number estimations will only show the epidemic curve
(collected data) and an adjusted model, whereas real-time methods will also
show the R(t) variations throughout the outbreak time period. Sensitivity
analysis tools are also provided, and allow for investigating effects of
varying Generation Time distribution or time window on estimates.

Thomas Obadia

Estimation of R0 and Real-Time Reproduction Number from
Epidemics

plot.R0.R function

<dl> <dt>x</dt>
<dd>Result of est.R (class R)</dd> <dt>all</dt>
<dd>Should the whole epidemic curve be shown</dd> <dt>xscale</dt>
<dd>Scale to be adjusted on X axis. Can be "d" (day), "w" (week (default)), "f" (fornight), "m" (month).</dd> <dt>TD.split</dt>
<dd>Parameter to force the display of both R(t) and the epidemic curve in the same window for TD method</dd> <dt>...</dt>
<dd>Parameters passed to plot</dd></dl>

Arguments

Author

Plot the R0/Rt value along with confidence interval — plot.R0.R

<dl>

 <dt>x</dt>
<dd>Result of est.R (class R)</dd>

 <dt>all</dt>
<dd>Should the whole epidemic curve be shown</dd>

 <dt>xscale</dt>
<dd>Scale to be adjusted on X axis. Can be "d" (day), "w" (week (default)), "f" (fornight), "m" (month).</dd>

 <dt>TD.split</dt>
<dd>Parameter to force the display of both R(t) and the epidemic curve in the same window for TD method</dd>

 <dt>...</dt>
<dd>Parameters passed to plot</dd>

</dl>

plot.R0.R: Plot the R0/Rt value along with confidence interval

Description

Usage

Value

Arguments

Author

Details