# R igraph manual pages

Use this if you are using igraph from R

 plot.sir {igraph} R Documentation

## Plotting the results on multiple SIR model runs

### Description

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

### Usage

## S3 method for class '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.

Nothing.

### Author(s)

Eric Kolaczyk (http://math.bu.edu/people/kolaczyk/) and Gabor Csardi csardi.gabor@gmail.com.

### References

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

sir for running the actual simulation.