as_forecast_point {scoringutils} | R Documentation |
Create a forecast
object for point forecasts
Description
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 for additional information on the required input format. |
... |
Unused |
forecast_unit |
(optional) Name of the columns in |
observed |
(optional) Name of the column in |
predicted |
(optional) Name of the column in |
Value
A forecast
object of class forecast_point
Required input
The input needs to be a data.frame or similar with the following columns:
-
observed
: Column of typenumeric
with observed values. -
predicted
: Column of typenumeric
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.
See Also
Other functions to create forecast objects:
as_forecast_binary()
,
as_forecast_nominal()
,
as_forecast_quantile()
,
as_forecast_sample()