R: Time series display

tsdisplay {forecast} | R Documentation

## Time series display

### Description

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

`ggtsdisplay` will produce the equivelant plot using ggplot graphics.

### Usage

    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, ...)

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

### Arguments

`x` | a numeric vector or time series.
`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.
`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?
`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.
`main` | Main title.
`xlab` | X-axis label.
`ylab` | Y-axis label.
`pch` | Plotting character.
`cex` | Character size.
`...` | additional arguments to `acf`.

### Value

None.

### Author(s)

Rob J Hyndman

### References

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

### See Also

`plot.ts`, `Acf`, `spec.ar`

### Examples

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

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

[Package forecast version 8.0 Index]