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Compute the set of forecasts present for all values of a given column.

Source: R/filter_to_shared_forecasts.R
get_shared_forecasts.Rd

Compute the set of forecasts present for all values of a given column.

Usage

get_shared_forecasts(tbl, comparator_values = NULL, compare = "model")

Arguments

tbl

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

comparator_values

Character vector of comparator values for which to compute shared forecasts. If NULL (default), use all unique values of the column specified in compare.

compare

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

Value

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

See also

filter_to_shared_forecasts()

Examples


get_shared_forecasts(scoringutils::example_quantile,
                           c("EuroCOVIDhub-ensemble", "UMass-MechBayes"))
#> # A tibble: 128 × 6
#>    location target_end_date target_type location_name forecast_date horizon
#>    <chr>    <date>          <chr>       <chr>         <date>          <dbl>
#>  1 DE       2021-05-08      Deaths      Germany       2021-05-03          1
#>  2 DE       2021-05-15      Deaths      Germany       2021-05-03          2
#>  3 DE       2021-05-15      Deaths      Germany       2021-05-10          1
#>  4 DE       2021-05-22      Deaths      Germany       2021-05-03          3
#>  5 DE       2021-05-22      Deaths      Germany       2021-05-10          2
#>  6 DE       2021-05-22      Deaths      Germany       2021-05-17          1
#>  7 DE       2021-05-29      Deaths      Germany       2021-05-10          3
#>  8 DE       2021-05-29      Deaths      Germany       2021-05-17          2
#>  9 DE       2021-05-29      Deaths      Germany       2021-05-24          1
#> 10 DE       2021-06-05      Deaths      Germany       2021-05-17          3
#> # ℹ 118 more rows