Load any rds/csv/csv.gz/parquet/qs file from a remote URL
Arguments
- url
a vector of URLs to load into memory. If more than one URL provided, will row-bind them.
- ...
named arguments that will be added as attributes to the data, e.g.
nflverse_type
= "pbp"- seasons
a numeric vector of years that will be used to filter the dataframe's
season
column. IfTRUE
(default), does not filter.- nflverse
TRUE to add nflverse_data classing and attributes.
Examples
# \donttest{
try({ # prevents cran errors
urls <- c("https://github.com/nflverse/nflverse-data/releases/download/rosters/roster_2020.csv",
"https://github.com/nflverse/nflverse-data/releases/download/rosters/roster_2021.csv")
load_from_url(urls, nflverse = TRUE, nflverse_type = "rosters for 2020 & 2021")
})
#> ── nflverse rosters for 2020 & 2021 ────────────────────────────────────────────
#> ℹ Data updated: 2022-08-07 14:40:30 UTC
#> # A tibble: 5,379 × 30
#> season team position depth_chart_po…¹ jerse…² status full_…³ first…⁴ last_…⁵
#> <int> <chr> <chr> <chr> <int> <chr> <chr> <chr> <chr>
#> 1 2020 ARI DB CB 25 R/Inj… Johnat… Johnat… Joseph
#> 2 2020 ARI DB CB 21 Active Patric… Patrick Peters…
#> 3 2020 ARI DB CB 20 PS; V… Prince… Prince Amukam…
#> 4 2020 ARI DB CB 20 Active Dre Ki… D'Andre Kirkpa…
#> 5 2020 ARI DB FS 31 R/COV… Chris … Ayorun… Banjo
#> 6 2020 ARI DB CB 23 R/Inj… Robert… Robert Alford
#> 7 2020 ARI DB FS 28 Active Charle… Charles Washin…
#> 8 2020 ARI DB CB 27 Active Kevin … Kevin Peters…
#> 9 2020 ARI DB SS 32 Active Budda … Budda Baker
#> 10 2020 ARI DB CB 33 Active Byron … Byron Murphy
#> # … with 5,369 more rows, 21 more variables: birth_date <date>, height <chr>,
#> # weight <int>, college <chr>, gsis_id <chr>, espn_id <int>,
#> # sportradar_id <chr>, yahoo_id <int>, rotowire_id <int>, pff_id <int>,
#> # pfr_id <chr>, fantasy_data_id <int>, sleeper_id <int>, years_exp <int>,
#> # headshot_url <chr>, ngs_position <chr>, esb_id <chr>, gsis_it_id <int>,
#> # smart_id <chr>, entry_year <int>, rookie_year <int>, and abbreviated
#> # variable names ¹depth_chart_position, ²jersey_number, ³full_name, …
#> # ℹ Use `print(n = ...)` to see more rows, and `colnames()` to see all variable names
# }