View source: R/fortify_forecast.R
autoplot.forecast | R Documentation |
forecast::forecast
Autoplot forecast::forecast
## S3 method for class 'forecast'
autoplot(
object,
is.date = NULL,
ts.connect = TRUE,
predict.geom = "line",
predict.colour = "#0000FF",
predict.size = NULL,
predict.linetype = NULL,
predict.alpha = NULL,
predict.fill = NULL,
predict.shape = NULL,
conf.int = TRUE,
conf.int.colour = "#0000FF",
conf.int.linetype = "none",
conf.int.fill = "#000000",
conf.int.alpha = 0.3,
...
)
object |
|
is.date |
Logical frag indicates whether the |
ts.connect |
Logical frag indicates whether connects original time-series and predicted values |
predict.geom |
geometric string for predicted time-series |
predict.colour |
line colour for predicted time-series |
predict.size |
point size for predicted time-series |
predict.linetype |
line type for predicted time-series |
predict.alpha |
alpha for predicted time-series |
predict.fill |
fill colour for predicted time-series |
predict.shape |
point shape for predicted time-series |
conf.int |
Logical flag indicating whether to plot confidence intervals |
conf.int.colour |
line colour for confidence intervals |
conf.int.linetype |
line type for confidence intervals |
conf.int.fill |
fill colour for confidence intervals |
conf.int.alpha |
alpha for confidence intervals |
... |
other arguments passed to |
ggplot
## Not run:
d.arima <- forecast::auto.arima(AirPassengers)
autoplot(forecast::forecast(d.arima, h = 10))
autoplot(forecast::forecast(d.arima, level = c(85), h = 10))
autoplot(forecast::forecast(d.arima, h = 5), conf.int = FALSE, is.date = FALSE)
autoplot(forecast::forecast(stats::HoltWinters(UKgas), h = 10))
autoplot(forecast::forecast(forecast::ets(UKgas), h = 5))
## End(Not run)
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