See hubUtils::model_id_merge() for details.
Value
tbl with either team_abbr and model_abbr merged into a single model_id
column or model_id split into columns team_abbr and model_abbr.
a tibble with model_id column split into separate
team_abbr and model_abbr columns
Examples
if (requireNamespace("hubData", quietly = TRUE)) {
hub_con <- hubData::connect_hub(system.file("testhubs/flusight", package = "hubUtils"))
tbl <- hub_con %>%
dplyr::filter(output_type == "quantile", location == "US") %>%
dplyr::collect() %>%
dplyr::filter(forecast_date == max(forecast_date))
tbl_split <- model_id_split(tbl)
tbl_split
# Merge model_id
tbl_merged <- model_id_merge(tbl_split)
tbl_merged
# Split / Merge using custom separator
tbl_sep <- tbl
tbl_sep$model_id <- gsub("-", "_", tbl_sep$model_id)
tbl_sep <- model_id_split(tbl_sep, sep = "_")
tbl_sep
tbl_sep <- model_id_merge(tbl_sep, sep = "_")
tbl_sep
}
#> # A tibble: 92 × 8
#> model_id forecast_date horizon target location output_type output_type_id
#> <chr> <date> <int> <chr> <chr> <chr> <chr>
#> 1 hub_baseline 2023-05-08 1 wk ah… US quantile 0.01
#> 2 hub_baseline 2023-05-08 1 wk ah… US quantile 0.025
#> 3 hub_baseline 2023-05-08 1 wk ah… US quantile 0.05
#> 4 hub_baseline 2023-05-08 1 wk ah… US quantile 0.1
#> 5 hub_baseline 2023-05-08 1 wk ah… US quantile 0.15
#> 6 hub_baseline 2023-05-08 1 wk ah… US quantile 0.2
#> 7 hub_baseline 2023-05-08 1 wk ah… US quantile 0.25
#> 8 hub_baseline 2023-05-08 1 wk ah… US quantile 0.3
#> 9 hub_baseline 2023-05-08 1 wk ah… US quantile 0.35
#> 10 hub_baseline 2023-05-08 1 wk ah… US quantile 0.4
#> # ℹ 82 more rows
#> # ℹ 1 more variable: value <dbl>