autoplot.forecast {ggfortify} | 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)