A cached table of Sleeper NFL players. Will store in memory for each session! (via memoise in zzz.R)
Examples
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
x <- sleeper_players()
dplyr::sample_n(x, 5)
}) # end try
#> # A tibble: 5 × 39
#> player_id player_name pos age team status years…¹ sport…² fanta…³ swish…⁴
#> <chr> <chr> <chr> <dbl> <chr> <chr> <int> <chr> <int> <int>
#> 1 3946 Jake Ceres… DE 28.6 NA Active 6 10f302… 18779 NA
#> 2 4517 Ricky Ali'… DT 31.2 NA Active 5 49c600… 19389 NA
#> 3 6432 Otaro Alaka LB 26.7 NA Active 3 209307… 21482 835819
#> 4 1628 Joseph Fau… TE 33.1 NA Inact… 7 2a678c… 15336 NA
#> 5 3318 Kevin Hogan QB 30.3 NA Active 7 cd571c… 18079 598962
#> # … with 29 more variables: rotowire_id <int>, rotoworld_id <int>,
#> # espn_id <int>, yahoo_id <int>, stats_id <int>, gsis_id <chr>,
#> # pandascore_id <lgl>, practice_description <chr>, number <int>,
#> # injury_notes <chr>, birth_state <lgl>, news_updated <dbl>,
#> # birth_country <lgl>, weight <chr>, college <chr>, injury_start_date <lgl>,
#> # injury_body_part <chr>, high_school <chr>, birth_date <date>,
#> # birth_city <lgl>, height <chr>, practice_participation <chr>, …
# }