Get Starting Lineup Settings
Source:R/0_generics.R, R/espn_starterpositions.R, R/flea_starterpositions.R, and 3 more
ff_starter_positions.RdThis function returns a tidy dataframe with positional lineup rules.
Usage
ff_starter_positions(conn, ...)
# S3 method for espn_conn
ff_starter_positions(conn, ...)
# S3 method for flea_conn
ff_starter_positions(conn, ...)
# S3 method for mfl_conn
ff_starter_positions(conn, ...)
# S3 method for sleeper_conn
ff_starter_positions(conn, ...)
# S3 method for template_conn
ff_starter_positions(conn, ...)Arguments
- conn
the list object created by
ff_connect()- ...
other arguments (currently unused)
Value
A tidy dataframe of positional lineup rules, one row per position with minimum and maximum starters as well as total starter calculations.
Methods (by class)
ff_starter_positions(espn_conn): ESPN: returns min/max starters for each main player positionff_starter_positions(flea_conn): Fleaflicker: returns minimum and maximum starters for each player position.ff_starter_positions(mfl_conn): MFL: returns minimum and maximum starters for each player position.ff_starter_positions(sleeper_conn): Sleeper: returns minimum and maximum starters for each player position.ff_starter_positions(template_conn): Template: returns minimum and maximum starters for each player position.
Examples
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
conn <- espn_connect(season = 2020, league_id = 1178049)
ff_starter_positions(conn)
}) # end try
#> # A tibble: 6 × 7
#> pos min max offense_starters defense_starters kdst_starters
#> <chr> <int> <int> <int> <int> <int>
#> 1 QB 1 1 9 0 2
#> 2 RB 2 4 9 0 2
#> 3 WR 3 5 9 0 2
#> 4 TE 1 3 9 0 2
#> 5 DST 1 1 9 0 2
#> 6 K 1 1 9 0 2
#> # ℹ 1 more variable: total_starters <int>
# }
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
conn <- fleaflicker_connect(season = 2020, league_id = 206154)
ff_starter_positions(conn)
}) # end try
#> # A tibble: 10 × 7
#> pos min max offense_starters defense_starters kdst_starters
#> <chr> <int> <int> <int> <int> <int>
#> 1 CB 2 4 7 8 1
#> 2 EDR 0 4 7 8 1
#> 3 IL 0 4 7 8 1
#> 4 K 1 1 7 8 1
#> 5 LB 2 4 7 8 1
#> 6 QB 1 1 7 8 1
#> 7 RB 2 3 7 8 1
#> 8 S 2 4 7 8 1
#> 9 TE 1 2 7 8 1
#> 10 WR 2 3 7 8 1
#> # ℹ 1 more variable: total_starters <int>
# }
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
dlfidp_conn <- mfl_connect(2020, league_id = 33158)
ff_starter_positions(conn = dlfidp_conn)
}) # end try
#> # A tibble: 9 × 7
#> pos min max offense_starters defense_starters kdst_starters
#> <chr> <int> <int> <dbl> <dbl> <int>
#> 1 CB 2 4 8 10 0
#> 2 DE 2 4 8 10 0
#> 3 DT 1 3 8 10 0
#> 4 LB 2 4 8 10 0
#> 5 QB 1 1 8 10 0
#> 6 RB 1 6 8 10 0
#> 7 S 1 3 8 10 0
#> 8 TE 0 5 8 10 0
#> 9 WR 1 6 8 10 0
#> # ℹ 1 more variable: total_starters <int>
# }
# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
jml_conn <- sleeper_connect(league_id = "652718526494253056", season = 2021)
ff_starter_positions(jml_conn)
}) # end try
#> # A tibble: 4 × 6
#> pos min max offense_starters defense_starters total_starters
#> <chr> <int> <int> <int> <int> <int>
#> 1 QB 1 1 9 0 9
#> 2 RB 2 5 9 0 9
#> 3 TE 1 4 9 0 9
#> 4 WR 2 5 9 0 9
# }
# \donttest{
template_conn <- ff_template(roster_type = "idp")
ff_starter_positions(template_conn)
#> # A tibble: 9 × 7
#> pos min max offense_starters defense_starters kdst_starters
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 QB 1 2 10 10 0
#> 2 RB 2 5 10 10 0
#> 3 WR 3 6 10 10 0
#> 4 TE 1 4 10 10 0
#> 5 DT 1 3 10 10 0
#> 6 DE 2 4 10 10 0
#> 7 LB 2 4 10 10 0
#> 8 CB 2 4 10 10 0
#> 9 S 1 3 10 10 0
#> # ℹ 1 more variable: total_starters <dbl>
# }