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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.

Value

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.

Examples


g <- sample_gnm(100, 100)
sm <- sir(g, beta=5, gamma=1)
plot(sm)

[Package igraph version 1.2.4 Index]