autoplot.tsmodel {ggfortify} | R Documentation |
Autoplot time series models (like AR, ARIMA)
## S3 method for class 'tsmodel' autoplot( object, data = NULL, predict = NULL, is.date = NULL, ts.connect = TRUE, fitted.geom = "line", fitted.colour = "#FF0000", fitted.size = NULL, fitted.linetype = NULL, fitted.alpha = NULL, fitted.fill = NULL, fitted.shape = NULL, 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 |
Time series model instance |
data |
original dataset, needed for |
predict |
Predicted |
is.date |
Logical frag indicates whether the |
ts.connect |
Logical frag indicates whether connects original time-series and predicted values |
fitted.geom |
geometric string for fitted time-series |
fitted.colour |
line colour for fitted time-series |
fitted.size |
point size for fitted time-series |
fitted.linetype |
line type for fitted time-series |
fitted.alpha |
alpha for fitted time-series |
fitted.fill |
fill colour for fitted time-series |
fitted.shape |
point shape for fitted time-series |
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 |
... |
Keywords passed to |
ggplot
## Not run: d.ar <- stats::ar(AirPassengers) autoplot(d.ar) autoplot(d.ar, predict = predict(d.ar, n.ahead = 5)) autoplot(stats::arima(UKgas), data = UKgas) autoplot(forecast::arfima(AirPassengers)) autoplot(forecast::nnetar(UKgas), is.date = FALSE) d.holt <- stats::HoltWinters(USAccDeaths) autoplot(d.holt) autoplot(d.holt, predict = predict(d.holt, n.ahead = 5)) autoplot(d.holt, predict = predict(d.holt, n.ahead = 5, prediction.interval = TRUE)) ## End(Not run)