Plot forecasts of a trained ESN model — plot.forecast

Plot point forecasts and forecast intervals, actual values of a trained ESN model. Optionally, test data (out-of-sample) and fitted values can be added to the plot.

Usage

# S3 method for class 'forecast_esn'
plot(x, test = NULL, fitted = TRUE, interval = TRUE, n_obs = NULL, ...)

Arguments

x: An object of class forecast_esn. The result of a call to forecast_esn().
test: Numeric vector. Test data, i.e., out-of-sample actual values.
fitted: Logical value. If TRUE, fitted values are added.
interval: Logical value. If TRUE, forecast intervals are added.
n_obs: Integer value. If NULL, all in-sample values are shown, otherwise only the last n_obs.
...: Currently not in use.

Value

Line chart of point forecast and actual values.

Examples

xdata <- as.numeric(AirPassengers)
xmodel <- train_esn(y = xdata)
xfcst <- forecast_esn(xmodel, n_ahead = 12)
plot(xfcst)