Plot a set of forecasts — autoplot.fbl

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 class 'fbl_ts'
autoplot(object, data = NULL, level = c(80, 95), show_gap = TRUE, ...)

# S3 method for class 'fbl_ts'
autolayer(
  object,
  data = NULL,
  level = c(80, 95),
  point_forecast = list(mean = mean),
  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 most recent value in data with the forecasts.
...: Further arguments passed used to specify fixed aesthetics for the forecasts such as colour = "red" or linewidth = 3.
point_forecast: The point forecast measure to be displayed in the plot.

Examples

library(fable)
library(tsibbledata)

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

fc %>% 
  autoplot(aus_production)

aus_production %>% 
  autoplot(Beer) + 
  autolayer(fc)