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Compute the set of forecasts present for a given value of a given column.

Source: R/filter_to_subset_forecasts.R
get_subset_forecasts.Rd

Compute the set of forecasts present for a given value of a given column.

Usage

get_subset_forecasts(tbl, comparator_value, compare = "model")

Arguments

tbl

Table of forecasts or scores to filter, as a valid input to scoringutils::get_forecast_unit().

comparator_value

Character scalar of comparator values for which to compute shared forecasts.

compare

Name of the column containing the comparator values. Default "model".

Value

Table of forecast unit values for all and only the subset forecasts, which can be joined to the original table for filtering purposes (see filter_to_subset_forecasts()).

See also

filter_to_subset_forecasts()

Examples


get_subset_forecasts(scoringutils::example_quantile, "EuroCOVIDhub-ensemble")
#> # A tibble: 256 × 6
#>    location target_end_date target_type location_name forecast_date horizon
#>    <chr>    <date>          <chr>       <chr>         <date>          <dbl>
#>  1 DE       2021-05-08      Cases       Germany       2021-05-03          1
#>  2 DE       2021-05-08      Deaths      Germany       2021-05-03          1
#>  3 DE       2021-05-15      Cases       Germany       2021-05-03          2
#>  4 DE       2021-05-15      Cases       Germany       2021-05-10          1
#>  5 DE       2021-05-15      Deaths      Germany       2021-05-03          2
#>  6 DE       2021-05-15      Deaths      Germany       2021-05-10          1
#>  7 DE       2021-05-22      Cases       Germany       2021-05-03          3
#>  8 DE       2021-05-22      Cases       Germany       2021-05-10          2
#>  9 DE       2021-05-22      Cases       Germany       2021-05-17          1
#> 10 DE       2021-05-22      Deaths      Germany       2021-05-03          3
#> # ℹ 246 more rows