私はRgplkを使用してファンタジーフットボールのラインナップオプティマイザを持っています。 forループを使用して、複数の最適なラインアップを生成します。その数は、ユーザーによって入力されます。例えばRglpk - ファンタジーフットボールラインナップオプティマイザ - Forループ出力のバインド
Lineups <- list()
for(i in 1:Lineup_no)
{
matrix <- rbind(as.numeric(Data$Position == "QB"), # num QB
as.numeric(Data$Position == "RB"), # num RB
as.numeric(Data$Position == "RB"), # num RB
as.numeric(Data$Position == "WR"), # num WR
as.numeric(Data$Position == "WR"), # num WR
as.numeric(Data$Position == "TE"), # num TE
as.numeric(Data$Position == "TE"), # num TE
as.numeric(Data$Position %in% c("RB", "WR", "TE")), # Num RB/WR/TE
as.numeric(Data$Position == "DEF"),# num DEF
Data$Salary,Data$fpts,Data$Player.Name==Inclusions)
direction <- c("==",">=","<=",">=","<=",">=","<=","==","==","<=","<","==")
opt_var<-Score-0.01
rhs<-c(1,2,4,2,4,1,2,7,1,100000,opt_var,length(Inclusions))
sol <- Rglpk_solve_LP(obj = obj, mat = matrix, dir = direction, rhs = rhs,
types = var.types, max = TRUE)
Lineup<-data.frame(Data[sol$solution==1,])
Lineup<-Lineup[order(Lineup$Position),]
Salary<-sum(Lineup$Salary)
Score<-sum(Lineup$fpts)
print(Lineup)
print(Salary)
print(Score)
Lineups[i]<-Lineup
}
、私は次の出力を取得、その後、3つの最適なラインナップを実行する場合:私はrbindしたいforループが完了した時点で
Position Player.Name Team Opponent Salary PPG fpts positionRank upper lower Off_Snaps Pct_Off
694 DEF Vikings Vikings Packers 5850 21.0 11.4202 6 12.7234 5.95 NA <NA>
2191 QB Jimmy Garoppolo Patriots Dolphins 12950 15.1 16.2307 12 17.1451 14.3 71 100%
335 RB Danny Woodhead Chargers Jaguars 10650 23.0 15.4280 3 19.7669 10.14 50 68%
604 RB DeAngelo Williams Steelers Bengals 9600 35.1 16.7202 2 20.2447 12.68 56 82%
613 RB Rashad Jennings Giants Saints 8700 8.8 13.7357 15 16.1405 11.08 32 57%
1105 RB Spencer Ware Chiefs Texans 9650 32.9 14.1579 12 16.2301 11.69 34 48%
1034 TE Travis Kelce Chiefs Texans 9000 13.4 11.7962 7 13.6508 10.23 62 87%
452 WR Antonio Brown Steelers Bengals 18900 32.6 23.7736 1 25.0086 22.7394 66 97%
1014 WR DeAndre Hopkins Texans Chiefs 14300 16.4 18.8275 4 20.9531 17.3538 73 97%
[1] 99600
[1] 142.09
Position Player.Name Team Opponent Salary PPG fpts positionRank upper lower Off_Snaps Pct_Off
694 DEF Vikings Vikings Packers 5850 21.0 11.4202 6 12.7234 5.95 NA <NA>
2191 QB Jimmy Garoppolo Patriots Dolphins 12950 15.1 16.2307 12 17.1451 14.3 71 100%
604 RB DeAngelo Williams Steelers Bengals 9600 35.1 16.7202 2 20.2447 12.68 56 82%
613 RB Rashad Jennings Giants Saints 8700 8.8 13.7357 15 16.1405 11.08 32 57%
1091 RB Latavius Murray Raiders Falcons 9950 14.2 14.4686 8 17.8615 11.86 45 62%
1105 RB Spencer Ware Chiefs Texans 9650 32.9 14.1579 12 16.2301 11.69 34 48%
585 TE Gary Barnidge Browns Ravens 9600 0.0 12.5613 4 14.924 10.21 51 98%
452 WR Antonio Brown Steelers Bengals 18900 32.6 23.7736 1 25.0086 22.7394 66 97%
1014 WR DeAndre Hopkins Texans Chiefs 14300 16.4 18.8275 4 20.9531 17.3538 73 97%
[1] 99500
[1] 141.8957
Position Player.Name Team Opponent Salary PPG fpts positionRank upper lower Off_Snaps Pct_Off
694 DEF Vikings Vikings Packers 5850 21.0 11.4202 6 12.7234 5.95 NA <NA>
2191 QB Jimmy Garoppolo Patriots Dolphins 12950 15.1 16.2307 12 17.1451 14.3 71 100%
604 RB DeAngelo Williams Steelers Bengals 9600 35.1 16.7202 2 20.2447 12.68 56 82%
613 RB Rashad Jennings Giants Saints 8700 8.8 13.7357 15 16.1405 11.08 32 57%
1105 RB Spencer Ware Chiefs Texans 9650 32.9 14.1579 12 16.2301 11.69 34 48%
1132 RB C.J. Anderson Broncos Colts 10200 29.9 14.4519 9 15.8198 10.8164 48 83%
585 TE Gary Barnidge Browns Ravens 9600 0.0 12.5613 4 14.924 10.21 51 98%
452 WR Antonio Brown Steelers Bengals 18900 32.6 23.7736 1 25.0086 22.7394 66 97%
1014 WR DeAndre Hopkins Texans Chiefs 14300 16.4 18.8275 4 20.9531 17.3538 73 97%
[1] 99750
[1] 141.879
を次のようにコードがありますそれはこのようなものになりますように、ラインナップのそれぞれは:
Position Player.Name Team Opponent Salary PPG fpts positionRank upper lower Off_Snaps Pct_Off
694 DEF Vikings Vikings Packers 5850 21.0 11.4202 6 12.7234 5.95 NA <NA>
2191 QB Jimmy Garoppolo Patriots Dolphins 12950 15.1 16.2307 12 17.1451 14.3 71 100%
335 RB Danny Woodhead Chargers Jaguars 10650 23.0 15.4280 3 19.7669 10.14 50 68%
604 RB DeAngelo Williams Steelers Bengals 9600 35.1 16.7202 2 20.2447 12.68 56 82%
613 RB Rashad Jennings Giants Saints 8700 8.8 13.7357 15 16.1405 11.08 32 57%
1105 RB Spencer Ware Chiefs Texans 9650 32.9 14.1579 12 16.2301 11.69 34 48%
1034 TE Travis Kelce Chiefs Texans 9000 13.4 11.7962 7 13.6508 10.23 62 87%
452 WR Antonio Brown Steelers Bengals 18900 32.6 23.7736 1 25.0086 22.7394 66 97%
1014 WR DeAndre Hopkins Texans Chiefs 14300 16.4 18.8275 4 20.9531 17.3538 73 97%
694 DEF Vikings Vikings Packers 5850 21.0 11.4202 6 12.7234 5.95 NA <NA>
2191 QB Jimmy Garoppolo Patriots Dolphins 12950 15.1 16.2307 12 17.1451 14.3 71 100%
604 RB DeAngelo Williams Steelers Bengals 9600 35.1 16.7202 2 20.2447 12.68 56 82%
613 RB Rashad Jennings Giants Saints 8700 8.8 13.7357 15 16.1405 11.08 32 57%
1091 RB Latavius Murray Raiders Falcons 9950 14.2 14.4686 8 17.8615 11.86 45 62%
1105 RB Spencer Ware Chiefs Texans 9650 32.9 14.1579 12 16.2301 11.69 34 48%
585 TE Gary Barnidge Browns Ravens 9600 0.0 12.5613 4 14.924 10.21 51 98%
452 WR Antonio Brown Steelers Bengals 18900 32.6 23.7736 1 25.0086 22.7394 66 97%
1014 WR DeAndre Hopkins Texans Chiefs 14300 16.4 18.8275 4 20.9531 17.3538 73 97%
694 DEF Vikings Vikings Packers 5850 21.0 11.4202 6 12.7234 5.95 NA <NA>
2191 QB Jimmy Garoppolo Patriots Dolphins 12950 15.1 16.2307 12 17.1451 14.3 71 100%
604 RB DeAngelo Williams Steelers Bengals 9600 35.1 16.7202 2 20.2447 12.68 56 82%
613 RB Rashad Jennings Giants Saints 8700 8.8 13.7357 15 16.1405 11.08 32 57%
1105 RB Spencer Ware Chiefs Texans 9650 32.9 14.1579 12 16.2301 11.69 34 48%
1132 RB C.J. Anderson Broncos Colts 10200 29.9 14.4519 9 15.8198 10.8164 48 83%
585 TE Gary Barnidge Browns Ravens 9600 0.0 12.5613 4 14.924 10.21 51 98%
452 WR Antonio Brown Steelers Bengals 18900 32.6 23.7736 1 25.0086 22.7394 66 97%
1014 WR DeAndre Hopkins Texans Chiefs 14300 16.4 18.8275 4 20.9531 17.3538 73 97%
をしかし、唯一の順位]列には、リストのラインアップではなく、それぞれの完全なデータフレームに追加取得しているようです。
[[1]]
[1] "DEF" "QB" "RB" "RB" "RB" "RB" "TE" "WR" "WR"
[[2]]
[1] "DEF" "QB" "RB" "RB" "RB" "RB" "TE" "WR" "WR"
[[3]]
[1] "DEF" "QB" "RB" "RB" "RB" "RB" "TE" "WR" "WR"
各豊富なラインナップのデータフレームがリストのラインアップに含まれるようにどのように私は自分のコードを更新しないと、続いて上に示したようなデータフレームを作成するために一緒にラインナップをバインド?
は、私はあなたが 'ラインアップ[[i]は] <-Lineup'(テストしていない) – akrun
をそして今、私はデータ」でバインドすることができます必要があると思います.frame(rbindlist(ラインアップ)) ' – Morts81