Code:
#library(readr)
#library(dplyr)
#leagues <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/general/leagues.csv")
#import data (players_basic, players_value, players_career_pitching_stats, players_career_batting_stats)
players <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players.csv")
players <- unite(players, name, c("first_name","last_name"), sep = " ")
players_career_pitching_stats <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players_career_pitching_stats.csv")
players_value <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players_value.csv")
players_career_batting_stats <- read_csv("Out of the Park Developments/OOTP Baseball 19/saved_games/OOTPLeagueReborn.lg/import_export/csv/players_career_batting_stats.csv")
#Reduce pitching data to MLB in current year and find rank
pmlb <- players_career_pitching_stats %>%
select(player_id, year, league_id, team_id, split_id, bf, gs, wpa, war) %>%
filter(league_id=='100' & split_id=='1'& year==max(year)) %>%
merge(players[ , c("player_id", "name")], by = "player_id") %>%
merge(players_value[ , c("player_id", "pot")], by = "player_id") %>%
merge(teams[ , c("team_id", "sub_league_id")], by = "team_id") %>%
mutate(sprank = wpa+2*war, rprank = 2*wpa+war)
#Reduce hitting data to MLB in current year and find rank
bmlb <- players_career_batting_stats %>%
select(player_id, year, league_id, team_id, split_id, pa, wpa, war) %>%
filter(league_id=='100' & split_id=='1'& year==max(year)) %>%
merge(players[ , c("player_id", "name")], by = "player_id") %>%
merge(players_value[ , c("player_id", "pot")], by = "player_id") %>%
merge(teams[ , c("team_id", "sub_league_id")], by = "team_id") %>%
mutate(rank = wpa+2*war, position = "H")
#merge hitters and pitchers for MVP
mlbmvp <- pmlb %>%
bind_rows(bmlb) %>%
arrange(sub_league_id, desc(rank)) %>%
group_by(sub_league_id) %>%
top_n(3, rank) %>%
select(player_id, name,position, sub_league_id)
#POY award
mlbpoy <- pmlb %>%
arrange(sub_league_id, desc(sprank)) %>%
group_by(sub_league_id) %>%
top_n(3, sprank) %>%
select(player_id, name, sub_league_id)
#Reliever award
mlbreloy <- pmlb %>%
filter(gs=='0' & wpa>'0') %>%
arrange(sub_league_id, desc(rprank)) %>%
group_by(sub_league_id) %>%
top_n(3,rprank) %>%
select(name, sub_league_id)
View(mlbmvp)
View(mlbpoy)
View(mlbreloy)