plot-methods {swash} | R Documentation |
Methods for Function plot
Description
Methods for function plot
for different S4 classes: sbm
, sbm_ci
, and loggrowth
.
Methods
signature(x = "sbm")
-
plot.sbm(x, y, ...)
: Plots the results of the Swash-Backwash Model. This generates two plots:Edges over time.
Total infections per time unit.
Arguments:
-
x
: An object of classsbm
representing the results of the Swash-Backwash Model. -
y
: Optional argument for additional customization, such as plot style or axis labels. -
...
: Additional graphical parameters that can be passed to control plot appearance.
Details: This method is used to visualize the output of the Swash-Backwash Model, providing insight into the dynamics of the modeled epidemic.
signature(x = "sbm_ci")
-
plot.sbm_ci(x, y, ...)
: Plots the results of bootstrap confidence intervals for the Swash-Backwash Model. This generates a single figure with six subplots:-
S_A
(susceptible population), -
I_A
(infected population), -
R_A
(recovered population), -
t_{FE}
(final epidemic time), -
t_{LE}
(last epidemic time), -
R_{0A}
(basic reproduction number).
Arguments:
-
x
: An object of classsbm_ci
containing the bootstrap confidence intervals for the Swash-Backwash Model. -
y
: Optional argument for additional customization, such as plot style or axis labels. -
...
: Additional graphical parameters for fine-tuning the plots.
Details: This method is used to visualize the bootstrap confidence intervals for various parameters of the Swash-Backwash Model.
-
signature(x = "countries")
-
plot.sbm(x, y = NULL, col_bars = "grey", col_ci = "red")
: Plots the results of the between-countries analysis via Swash-Backwash Model. This generates four plots:Indicator for country 1
Indicator for country 2
Boxplots of the distribution of the indicator in country 1 and 2
Distribution of the difference between the indicators of country 1 and 2
Arguments:
-
x
: An object of classcountries
representing the results of the Swash-Backwash Model country analysis. -
y
: Not relevant -
col_bars
: Color of bars -
col_ci
: Color of confidence intervals
Details: This method is used to visualize the output of the Swash-Backwash Model, providing insight into the dynamics of the modeled epidemic.
signature(x = "loggrowth")
-
plot.loggrowth(x, y, ...)
: Plots the results of the logistic growth model, including:Observed values,
Predicted values,
First derivative (growth rate).
Arguments:
-
x
: An object of classloggrowth
containing the data for the logistic growth model. -
y
: Optional argument for additional customization of the plot (e.g., color, labels). -
...
: Additional arguments for graphical parameters.
Details: This method is useful for visualizing the observed and predicted growth patterns in an epidemic or similar phenomena modeled by logistic growth.
Author(s)
Thomas Wieland