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Create a forecast object for point forecasts. See more information on forecast types and expected input formats by calling ?as_forecast().

When converting a forecast_quantile object into a forecast_point object, the 0.5 quantile is extracted and returned as the point forecast.

Usage

as_forecast_point(data, ...)

# Default S3 method
as_forecast_point(
  data,
  forecast_unit = NULL,
  observed = NULL,
  predicted = NULL,
  ...
)

# S3 method for class 'forecast_quantile'
as_forecast_point(data, ...)

Arguments

data

A data.frame (or similar) with predicted and observed values. See the details section of as_forecast() for additional information on required input formats.

...

Unused

forecast_unit

(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.

observed

(optional) Name of the column in data that contains the observed values. This column will be renamed to "observed".

predicted

(optional) Name of the column in data that contains the predicted values. This column will be renamed to "predicted".

See also

Other functions to create forecast objects: as_forecast, as_forecast_binary(), as_forecast_nominal(), as_forecast_quantile(), as_forecast_sample()