Economic value for an ensemble.

Usage

ens_value(
  .fcst,
  parameter,
  thresholds,
  groupings = "lead_time",
  show_progress = TRUE,
  ...
)

# S3 method for harp_ens_point_df
ens_value(
  .fcst,
  parameter,
  thresholds,
  groupings = "lead_time",
  show_progress = TRUE,
  fcst_model = NULL,
  ...
)

Arguments

.fcst: A harp_df or harp_list object with tables that have a column for observations, or a single forecast table.
parameter: The name of the column for the observations data. Can be the column name, quoted, or unquoted. If a variable it should be embraced - i.e. wrapped in {{}}.
thresholds: A numeric vector of thresholds for which to compute the threshold based scores. Set to NULL (the default) to only compute summary scores.
groupings: The groups for which to compute the scores. See group_by for more information of how grouping works.
show_progress: Logical - whether to show progress bars. Defaults to TRUE.
...: Reserved for methods.
fcst_model: The name of the forecast model to use in the fcst_model column of the output. If the function is dispatched on a harp_list object, the names of the harp_list are automatically used.

Value

A data frame with data grouped for the groupings column(s) and a nested column for the economic value with each row containing a data frame with columns: cl for cost loss, and value for the economic value. Use unnest to unnest to the nested column.