Combined Plot of a Time Series and Its ACF and PACF

Combined plot of a time Series and its autocorrelation and partial autocorrelation

Usage

plotTimeSeries(
  x,
  main = NULL,
  ylab = NULL,
  maxLag = 10 * log10(length(x)),
  stamp = .useTheme,
  ...
)

Arguments

x

univariate time series.

main

an overall title for the plot

ylab

a title for the y axis: see title().

maxLag

integer. Defines the number of lags to be displayed. The default is 10 * log10(length(series)).

stamp

controls the corner stamp. .useTheme (default) resolves to getTheme()$stamp. TRUE/FALSE/ NULL, a string, or a named list for stamp().

...

the dots are passed to the plot command.

Value

x, invisibly. Called for its side effect of drawing the plot.

Details

plotTimeSeries plots a combination of the time series and its autocorrelation and partial autocorrelation.

Note

Rewritten based on ideas of M.Huerzeler

See also

ts()

Other plot.special: plotBinaryTree(), plotCirc(), plotLift(), plotMiss(), plotPolar(), plotPropCI(), plotSankey(), plotTernary(), plotTreemap(), plotWeb()

Examples

plotTimeSeries(AirPassengers)