fplr makes it quick ‘n’ easy to retrieve Fantasy Premier League (FPL) data programmatically, then work with it, all from R.
Get the latest development version of fplr from GitHub.
# install.packages("remotes")
remotes::install_github("ewenme/fplr")Because of the lack of dev support from FPL and possible API changes, the package is unlikely to be submitted to CRAN and will remain in an experimental lifecycle for the foreseeable future.
Refer to the quickstart
guide to
get started. Still, here are some very basic examples of the
functionality and practical applications of fplr.
…on all players in the current FPL season.
library(fplr)
players <- fpl_get_player_all()
players
#> # A tibble: 628 x 61
#> chance_of_playi… chance_of_playi… code cost_change_eve… cost_change_eve…
#> <int> <int> <int> <dbl> <int>
#> 1 100 100 69140 0 0
#> 2 100 100 98745 0 0
#> 3 75 75 111457 0 0
#> 4 100 100 154043 0 0
#> 5 100 100 39476 0 0
#> 6 0 0 38411 0 0
#> 7 0 0 51507 0 0
#> 8 0 0 233963 0 0
#> 9 0 0 80254 0 0
#> 10 100 100 156074 0 0
#> # … with 618 more rows, and 56 more variables: cost_change_start <dbl>,
#> # cost_change_start_fall <int>, dreamteam_count <int>, element_type <int>,
#> # ep_next <dbl>, ep_this <dbl>, event_points <int>, first_name <chr>,
#> # form <dbl>, id <int>, in_dreamteam <lgl>, news <chr>, news_added <chr>,
#> # now_cost <dbl>, photo <chr>, points_per_game <dbl>, second_name <chr>,
#> # selected_by_percent <dbl>, special <lgl>, squad_number <lgl>, status <chr>,
#> # team <int>, team_code <int>, total_points <int>, transfers_in <int>,
#> # transfers_in_event <int>, transfers_out <int>, transfers_out_event <int>,
#> # value_form <dbl>, value_season <dbl>, web_name <chr>, minutes <int>,
#> # goals_scored <int>, assists <int>, clean_sheets <int>,
#> # goals_conceded <int>, own_goals <int>, penalties_saved <int>,
#> # penalties_missed <int>, yellow_cards <int>, red_cards <int>, saves <int>,
#> # bonus <int>, bps <int>, influence <dbl>, creativity <dbl>, threat <dbl>,
#> # ict_index <dbl>, influence_rank <int>, influence_rank_type <int>,
#> # creativity_rank <int>, creativity_rank_type <int>, threat_rank <int>,
#> # threat_rank_type <int>, ict_index_rank <int>, ict_index_rank_type <int>
If you want to contribute to the package, try and follow:
- Principles in Hadley Wickham’s R packages book
- The GitHub fork/pull request model
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.