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Return franchise-level data (including divisions, usernames, etc) - available data may vary slightly based on platform.

Usage

ff_franchises(conn)

# S3 method for espn_conn
ff_franchises(conn)

# S3 method for flea_conn
ff_franchises(conn)

# S3 method for mfl_conn
ff_franchises(conn)

# S3 method for sleeper_conn
ff_franchises(conn)

Arguments

conn

a conn object created by ff_connect()

Value

A tidy dataframe of franchises, complete with IDs

Methods (by class)

  • ff_franchises(espn_conn): ESPN: returns franchise and division information.

  • ff_franchises(flea_conn): Fleaflicker: returns franchise and division information.

  • ff_franchises(mfl_conn): MFL: returns franchise and division information.

  • ff_franchises(sleeper_conn): Sleeper: retrieves a list of franchise information, including user IDs and co-owner IDs.

Examples

# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird

  conn <- espn_connect(season = 2020, league_id = 1178049)

  ff_franchises(conn)
}) # end try
#> # A tibble: 14 × 8
#>    franchise_id franchise_name     franc…¹ logo  waive…² user_id user_…³ user_…⁴
#>           <int> <chr>              <chr>   <chr>   <int> <chr>   <chr>   <chr>  
#>  1            1 Rushin' Collusion  RC      http…       3 {6CE35… Aaron … Jack_a…
#>  2            2 Gurleys Gone Wild  GGW     http…       6 {74ADB… ian ja… ianjaap
#>  3            3 The Name's Mage    Mage    http…      12 {141C9… Colin … tksdev…
#>  4            4 dlp:: thoriyan     thor    http…       5 {1E6BB… H Tan   tanho63
#>  5            5 No Ultrasmurfs Al… ALH     http…       9 {E88F5… Alex Tu No Ult…
#>  6            6 Dak Street Boys    DSB     http…      11 {441A5… I Guess Americ…
#>  7            7 Kung-Fu Kenny      KDOT    http…      10 {C6050… Raheel… PolarR…
#>  8            8 Sticky Simians     LEL     http…       4 {599F7… Taylor… Monkey…
#>  9            9 The Wright Stuff   TWS     NA          8 {F831B… Adam K… Klaelm…
#> 10           10 Too Many Cooks     COOK    http…       7 {C9AE3… K R     eidolo…
#> 11           11 Team Typhon        TYPH    http…      14 {070C0… Kade W… Typhon…
#> 12           12 Homicidal Hicks    HH      http…       1 {CBF26… Travis… Kai Sh…
#> 13           13 Baby You Can Driv… POKE    http…      13 {A5DC8… D R     phishc…
#> 14           14 Boralus Booty      BB      http…       2 {1778D… Willia… Cephir…
#> # … with abbreviated variable names ¹​franchise_abbrev, ²​waiver_order,
#> #   ³​user_name, ⁴​user_nickname
# }

# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
  conn <- fleaflicker_connect(season = 2020, league_id = 206154)
  ff_franchises(conn)
}) # end try
#> # A tibble: 12 × 10
#>    division_id divisio…¹ franc…² franc…³ franc…⁴ franc…⁵ user_id user_…⁶ user_…⁷
#>          <int> <chr>       <int> <chr>   <chr>   <chr>     <int> <chr>   <chr>  
#>  1      606681 JDL North 1373501 Midgar… https:… MG      1031700 Darry   NA     
#>  2      606681 JDL North 1371776 Winter… https:… WH       894210 Mitchw… NA     
#>  3      606681 JDL North 1373973 Red Ri… https:… RR      1148208 Ldub32  NA     
#>  4      606681 JDL North 1373991 Top Ci… https:… TC      1032237 Sirhur… NA     
#>  5      606682 JDL East  1373475 Winter… https:… WD       749239 syd12n… NA     
#>  6      606682 JDL East  1373480 Golden… https:… GC       752341 DieNas… NA     
#>  7      606682 JDL East  1374252 Centra… https:… CC       751687 noelbo… https:…
#>  8      606682 JDL East  1374255 Mushro… https:… MC       749720 Diabet… NA     
#>  9      606683 JDL South 1373970 Bamend… https:… BH      1032089 greate… NA     
#> 10      606683 JDL South 1373993 Boomto… https:… BS      1142313 Foxtro… https:…
#> 11      606683 JDL South 1374315 Shangh… NA      SC      1032619 Commie… NA     
#> 12      606684 JDL West  1373883 Manito… NA      MM      1000915 Fonduc… NA     
#> # … with 1 more variable: user_lastlogin <dttm>, and abbreviated variable names
#> #   ¹​division_name, ²​franchise_id, ³​franchise_name, ⁴​franchise_logo,
#> #   ⁵​franchise_abbrev, ⁶​user_name, ⁷​user_avatar
# }

# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
  ssb_conn <- ff_connect(platform = "mfl", league_id = 54040, season = 2020)
  ff_franchises(ssb_conn)
}) # end try
#> # A tibble: 14 × 7
#>    franchise_id franchise_name     bbidAvailableBal…¹ waive…² icon  logo  abbrev
#>    <chr>        <chr>              <chr>              <chr>   <chr> <chr> <chr> 
#>  1 0001         Team Pikachu       159.00             1       http… http… PIKA  
#>  2 0002         Team Simon Belmont 99.00              7       http… http… SIMN  
#>  3 0003         Team Donkey Kong   50.00              6       http… http… DK    
#>  4 0004         Team Ice Climbers  0.00               5       http… http… ICE   
#>  5 0005         Team Dr. Mario     84.00              4       http… http… DRM   
#>  6 0006         Team King Dedede   87.00              10      http… http… KDDD  
#>  7 0007         Team Kirby         40.00              8       http… http… KRBY  
#>  8 0008         Team Bowser        0.00               9       http… http… BWSR  
#>  9 0009         Team Link          81.00              13      http… http… LINK  
#> 10 0010         Team Yoshi         0.00               12      http… http… YSHI  
#> 11 0011         Team Diddy Kong    173.00             11      http… http… DDY   
#> 12 0012         Team Mewtwo        0.00               3       http… http… MEW2  
#> 13 0013         Team Ness          0.00               2       http… http… NESS  
#> 14 0014         Team Luigi         0.00               14      http… http… LUIG  
#> # … with abbreviated variable names ¹​bbidAvailableBalance, ²​waiverSortOrder
# }

# \donttest{
try({ # try only shown here because sometimes CRAN checks are weird
  jml_conn <- ff_connect(platform = "sleeper", league_id = "522458773317046272", season = 2020)
  ff_franchises(jml_conn)
}) # end try
#> # A tibble: 12 × 5
#>    franchise_id franchise_name    user_name      user_id            co_owners 
#>           <int> <chr>             <chr>          <chr>              <list>    
#>  1            1 Fake News         Jcurtis44      70729037081100288  <NULL>    
#>  2            2 KingGabe          KingGabe       76686532077305856  <NULL>    
#>  3            3 solarpool         solarpool      202892038360801280 <NULL>    
#>  4            4 The FANTom Menace weeknee        202882046337490944 <NULL>    
#>  5            5 Barbarians        ABitterHomer   386383436639973376 <NULL>    
#>  6            6 sox05syd          sox05syd       409797051455393792 <NULL>    
#>  7            7 Flipadelphia05    Flipadelphia05 386950378371207168 <NULL>    
#>  8            8 Hocka Flocka      TwoFrames      386976568364306432 <NULL>    
#>  9            9 ZPMiller97        ZPMiller97     386571720443764736 <NULL>    
#> 10           10 JMLarkin          JMLarkin       387070108625039360 <NULL>    
#> 11           11 Permian Panthers  theoracleETS   198540145396289536 <list [1]>
#> 12           12 jaydk             jaydk          401485903224193024 <NULL>    
# }