tsdisplay: Time series display
In a1967fa/f-cast: Forecasting Functions for Time Series and Linear Models

Description Usage Arguments Details Value Author(s) References See Also Examples

Plots a time series along with its acf and either its pacf, lagged scatterplot or spectrum.

ggtsdisplay(x, plot.type = c("partial", "histogram", "scatter", "spectrum"),
  points = TRUE, smooth = FALSE, lag.max, na.action = na.contiguous,
  theme = NULL, ...)

tsdisplay(x, plot.type = c("partial", "histogram", "scatter", "spectrum"),
  points = TRUE, ci.type = c("white", "ma"), lag.max,
  na.action = na.contiguous, main = NULL, xlab = "", ylab = "",
  pch = 1, cex = 0.5, ...)

`x`	a numeric vector or time series of class `ts`.
`plot.type`	type of plot to include in lower right corner.
`points`	logical flag indicating whether to show the individual points or not in the time plot.
`smooth`	logical flag indicating whether to show a smooth loess curve superimposed on the time plot.
`lag.max`	the maximum lag to plot for the acf and pacf. A suitable value is selected by default if the argument is missing.
`na.action`	function to handle missing values in acf, pacf and spectrum calculations. The default is `na.contiguous`. Useful alternatives are `na.pass` and `na.interp`.
`theme`	Adds a ggplot element to each plot, typically a theme.
`...`	additional arguments to `acf`.
`ci.type`	type of confidence limits for ACF that is passed to `acf`. Should the confidence limits assume a white noise input or for lag k an MA(k-1) input?
`main`	Main title.
`xlab`	X-axis label.
`ylab`	Y-axis label.
`pch`	Plotting character.
`cex`	Character size.

ggtsdisplay will produce the equivalent plot using ggplot graphics.

None.

Rob J Hyndman

Hyndman and Athanasopoulos (2014) Forecasting: principles and practice, OTexts: Melbourne, Australia. http://www.otexts.org/fpp/

plot.ts, Acf, spec.ar

library(ggplot2)
ggtsdisplay(USAccDeaths, plot.type="scatter", theme=theme_bw())

tsdisplay(diff(WWWusage))
ggtsdisplay(USAccDeaths, plot.type="scatter")