# plot.sir

##### Plotting the results on multiple SIR model runs

This function can conveniently plot the results of multiple SIR model simulations.

- Keywords
- graphs

##### Usage

```
# S3 method for sir
plot(
x,
comp = c("NI", "NS", "NR"),
median = TRUE,
quantiles = c(0.1, 0.9),
color = NULL,
median_color = NULL,
quantile_color = NULL,
lwd.median = 2,
lwd.quantile = 2,
lty.quantile = 3,
xlim = NULL,
ylim = NULL,
xlab = "Time",
ylab = NULL,
...
)
```

##### Arguments

- x
The output of the SIR simulation, coming from the

`sir`

function.- comp
Character scalar, which component to plot. Either ‘NI’ (infected, default), ‘NS’ (susceptible) or ‘NR’ (recovered).

- median
Logical scalar, whether to plot the (binned) median.

- quantiles
A vector of (binned) quantiles to plot.

- color
Color of the individual simulation curves.

- median_color
Color of the median curve.

- quantile_color
Color(s) of the quantile curves. (It is recycled if needed and non-needed entries are ignored if too long.)

- lwd.median
Line width of the median.

- lwd.quantile
Line width of the quantile curves.

- lty.quantile
Line type of the quantile curves.

- xlim
The x limits, a two-element numeric vector. If

`NULL`

, then it is calculated from the data.- ylim
The y limits, a two-element numeric vector. If

`NULL`

, then it is calculated from the data.- xlab
The x label.

- ylab
The y label. If

`NULL`

then it is automatically added based on the`comp`

argument.- …
Additional arguments are passed to

`plot`

, that is run before any of the curves are added, to create the figure.

##### Details

The number of susceptible/infected/recovered individuals is plotted over time, for multiple simulations.

##### Value

Nothing.

##### References

Bailey, Norman T. J. (1975). The mathematical theory of infectious diseases and its applications (2nd ed.). London: Griffin.

##### See Also

`sir`

for running the actual simulation.

##### Examples

```
# NOT RUN {
g <- sample_gnm(100, 100)
sm <- sir(g, beta=5, gamma=1)
plot(sm)
# }
```

*Documentation reproduced from package igraph, version 1.2.6, License: GPL (>= 2)*