forecast object for point forecastsWhen converting a forecast_quantile object into a forecast_point object,
the 0.5 quantile is extracted and returned as the point forecast.
as_forecast_point(data, ...)# S3 method for default
as_forecast_point(
data,
forecast_unit = NULL,
observed = NULL,
predicted = NULL,
...
)
# S3 method for forecast_quantile
as_forecast_point(data, ...)
A forecast object of class forecast_point
A data.frame (or similar) with predicted and observed values. See the details section of for additional information on the required input format.
Unused
(optional) Name of the columns in data (after
any renaming of columns) that denote the unit of a
single forecast. See get_forecast_unit() for details.
If NULL (the default), all columns that are not required columns are
assumed to form the unit of a single forecast. If specified, all columns
that are not part of the forecast unit (or required columns) will be removed.
(optional) Name of the column in data that contains the
observed values. This column will be renamed to "observed".
(optional) Name of the column in data that contains the
predicted values. This column will be renamed to "predicted".
The input needs to be a data.frame or similar for the default method with the following columns:
observed: Column of type numeric with observed values.
predicted: Column of type numeric with predicted values.
For convenience, we recommend an additional column model holding the name
of the forecaster or model that produced a prediction, but this is not
strictly necessary.
See the example_point data set for an example.
Other functions to create forecast objects:
as_forecast_binary(),
as_forecast_nominal(),
as_forecast_ordinal(),
as_forecast_quantile(),
as_forecast_sample()