Plots a time series along with its ACF along with an customisable third
graphic of either a PACF, histogram, lagged scatterplot or spectral density.

```
gg_tsdisplay(
data,
y = NULL,
plot_type = c("auto", "partial", "season", "histogram", "scatter", "spectrum"),
lag_max = NULL
)
```

## Arguments

- data
A tidy time series object (tsibble)

- y
The variable to plot (a bare expression). If NULL, it will
automatically selected from the data.

- plot_type
type of plot to include in lower right corner. By default
(`"auto"`

) a season plot will be shown for seasonal data, a spectrum plot
will be shown for non-seasonal data without missing values, and a PACF will
be shown otherwise.

- lag_max
maximum lag at which to calculate the acf. Default is 10*log10(N/m)
where N is the number of observations and m the number of series. Will be
automatically limited to one less than the number of observations in the series.

## Value

A list of ggplot objects showing useful plots of a time series.

## References

Hyndman and Athanasopoulos (2019) *Forecasting: principles
and practice*, 3rd edition, OTexts: Melbourne, Australia.
https://OTexts.com/fpp3/

## Author

Rob J Hyndman & Mitchell O'Hara-Wild