popEpi (version 0.2.1)

plot.sir: Plot method for sir-object

Description

Plot SIR estimates with error bars

Usage

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

Arguments

x

an object returned by function sir

plot.type

select 'model'(=default), 'univariate'

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 gray line in SIR = 1

lang

language: 'fi'(default) or 'en'

log

logical; SIR is not in log scale by default

left.margin

adjust left marginal of the plot to fit long variablenames

...

arguments passed on to plot()

Details

Plot SIR estimates and confidence intervals

• univariate - plots SIR with univariates 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 plottin splines It's possible to use plot to first draw the confidence intervals using specific line type or colour and then plotting againg the estimate using lines(... , conf.int = FALSE) with different settings. This works only when plot.type is 'splines'.

See Also

sir, sirspline

Examples

# Plot SIR estimates
# plot(sir.by.gender, plot.type = 'model', col = c(4,2), log=FALSE, eps=0.2, lty=1, lwd=2, pch=19,
#      main = 'SIR by gender', abline=TRUE)
#
# # plot SIR splines gender in same plot
# plot(sir.male, plot.type = 'splines', col = c(4), lwd=2,
#      main = 'SIR by gender', abline=TRUE)
# lines(sir.female, col = 2)