R: Time series display

ggtsdisplay {forecast} | R Documentation

## Time series display

### Description

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

### Usage

    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, ...)

### Arguments

`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.

### Details

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

### Value

None.

### Author(s)

Rob J Hyndman

### References

Hyndman and Athanasopoulos (2018) Forecasting: principles and practice, 2nd edition, OTexts: Melbourne, Australia. https://OTexts.org/fpp2/

### See Also

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

### Examples

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

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

[Package forecast version 8.4 Index]