Every team name, abbreviation and provider id the index
resolves, one row per alias: what sdv_resolve() reads. The counterpart
of cfbplotR's team_name_mapping (see the examples). The R counterpart of
sdvplot's alias table.
Arguments
- league
A league key from
sdv_leagues(), orNULLfor every league.
Value
A data frame:
| col_name | type | description |
| league | character | League key |
| id_system | character | The id system of value ("name", "espn", "cfbd", ...; see sdv_resolve()). "mark", "conference" and "competition" rows serve the logo helpers only |
| value | character | The alias as the index stores it (lookups ignore case and accents) |
| team_id | character | The sdv_teams() team_id it names |
| valid_from | integer | First season the alias names this team (NA: always) |
| valid_to | integer | Last season the alias names this team (NA: still) |
Examples
a <- sdv_aliases("cfb")
head(a[a$id_system == "name", ])
#> league id_system value team_id valid_from valid_to
#> 4972 cfb name AR-Pine Bluff 2029 NA NA
#> 4973 cfb name ARK STATE 2032 NA NA
#> 4974 cfb name Abilene Christian 2000 NA NA
#> 4975 cfb name Abilene Christian Wildcats 2000 NA NA
#> 4976 cfb name Abilene Chrstn 2000 NA NA
#> 4977 cfb name Adams St 2001 NA NA
# cfbplotR's team_name_mapping: each name -> its school
nm <- a[a$id_system %in% c("name", "cfbd", "sdvplotr"), ]
t <- sdv_teams("cfb")
mapping <- stats::setNames(t$location[match(nm$team_id, t$team_id)], nm$value)
head(mapping)
#> AAMU ABSU ACU ADR
#> "Alabama A&M" "Albany State" "Abilene Christian" "Adrian"
#> ADSU AF
#> "Adams State" "Air Force"