Plot a set of forecasts

Produces a forecast plot from a fable. As the original data is not included in the fable object, it will need to be specified via the data argument. The data argument can be used to specify a shorter period of data, which is useful to focus on the more recent observations.

# S3 method for fbl_ts
autoplot(object, data = NULL, level = c(80, 95), show_gap = TRUE, ...)

# S3 method for fbl_ts
autolayer(object, data = NULL, level = c(80, 95), show_gap = TRUE, ...)

Arguments

object	A fable.
data	A tsibble with the same key structure as the fable.
level	The confidence level(s) for the plotted intervals.
show_gap	Setting this to FALSE will connect the historical observations with the forecasts.
...	Further arguments passed used to specify fixed aesthetics for the forecasts such as colour = "red" or size = 3.

Examples

library(tsibbledata)
if (requireNamespace("fable", quietly = TRUE)) {
library(fable)

fc <- aus_production %>%
  model(ets = ETS(log(Beer) ~ error("M") + trend("Ad") + season("A"))) %>%
  forecast(h = "3 years")

fc %>%
  autoplot(aus_production)
}
#> Warning: 1 error encountered for ets
#> [1] .data contains implicit gaps in time. You should check your data and convert implicit gaps into explicit missing values using `tsibble::fill_gaps()` if required.
#> Error: `mutate()` argument `ets` errored.
#> ℹ `ets` is `(function (object, ...) ...`.
#> ✖ non-numeric argument to mathematical function


if (requireNamespace("fable", quietly = TRUE)) {
aus_production %>%
  autoplot(Beer) +
  autolayer(fc)
}
#> Error in autolayer(fc): object 'fc' not found