plot.sir: Plot method for sir-object

In popEpi: Functions for Epidemiological Analysis using Population Data

Plot method for sir-object

Description

Plot SIR estimates with error bars

Usage

## S3 method for class 'sir'
plot(
  x,
  conf.int = TRUE,
  ylab,
  xlab,
  xlim,
  main,
  eps = 0.2,
  abline = TRUE,
  log = FALSE,
  left.margin,
  ...
)

Arguments

x	an object returned by function sir
conf.int	default TRUE draws confidence intervals
ylab	overwrites default y-axis label
xlab	overwrites default x-axis label
xlim	x-axis minimum and maximum values
main	optional plot title
eps	error bar vertical bar height (works only in 'model' or 'univariate')
abline	logical; draws a grey line in SIR = 1
log	logical; SIR is not in log scale by default
left.margin	adjust left marginal of the plot to fit long variable names
...	arguments passed on to plot(), segment and lines()

Details

Plot SIR estimates and confidence intervals

• univariate - plots SIR with univariate confidence intervals

• model - plots SIR with Poisson modelled confidence intervals

Customize Normal plot parameters can be passed to plot. These can be a vector when plotting error bars:

• pch - point type

• lty - line type

• col - line/point colour

• lwd - point/line size

Tips for plotting splines It's possible to use plot to first draw the confidence intervals using specific line type or colour and then plotting again the estimate using lines(... , conf.int = FALSE) with different settings. This works only when plot.type is 'splines'.

Value

Always returns NULL invisibly. This function is called for its side effects.

Author(s)

Matti Rantanen

See Also

⁠[sir]⁠, ⁠[sirspline]⁠

Examples

# Plot SIR estimates
# plot(sir.by.gender, col = c(4,2), log=FALSE, eps=0.2, lty=1, lwd=2, pch=19,
#      main = 'SIR by gender', abline=TRUE)

popEpi documentation built on April 4, 2025, 2:51 a.m.