Question

我有两个长度相等的data.frames。一个data.frame包含变量WEEK，Winner，Loser，homeScore，awayScore。

    'data.frame':   256 obs. of  5 variables:
 $ Week     : int  313 313 313 313 313 313 313 313 313 313 ...
 $ Winner   : Factor w/ 32 levels "ARI","ATL","BAL",..: 1 2 4 5 7 10 11 13 17 18 ...
 $ Loser    : Factor w/ 32 levels "ARI","ATL","BAL",..: 26 20 6 30 3 14 21 32 19 29 ...
 $ homeScore: Factor w/ 41 levels "","12","13","14",..: 7 25 12 9 12 20 23 6 21 22 ...
 $ awayScore: Factor w/ 32 levels "","0","10","11",..: 10 26 13 7 9 17 7 30 13 30 ...
>

另一个有WEEK，Favorite，Underdog，Spread。

'data.frame':   256 obs. of  4 variables:
 $ Week    : int  313 313 313 313 313 313 313 313 313 313 ...
 $ Favorite: chr  "SEA" "NO" "STL" "PIT" ...
 $ Underdog: Factor w/ 32 levels "ARI","ATL","BAL",..: 12 2 18 8 15 23 7 4 32 31 ...
 $ Spread  : chr  "-5" "-3" "-3" "-6" ...

我需要将这两个data.frames组合成一个带有WEEK，Favorite，Underdog，homeScore，awayScore，Spread的data.frame。

我正在努力解决这个匹配问题，因为收藏夹可能不是其他data.frame的赢家。所以我需要经历每周匹配收藏夹与赢家或失败者并将点差放在正确的位置行。我是R的新手，所以这应该很容易做到，但它超出了我的技能。谢谢你的帮助

..好的，这是data.frames的样子

head(df1)
  Week Winner Loser homeScore awayScore
   313    ARI    SD        18        17
   313    ATL    NO        37        34
   313    BUF   CHI        23        20
   313    CAR    TB        20        14
   313    CIN   BAL        23        16
   313    DEN   IND        31        24
   313    DET   NYG        35        14
   313    HOU   WAS        17         6
   313    MIA    NE        33        20
   313    MIN   STL        34         6

head(df2)
   Week Favorite Underdog Spread
    313      SEA       GB     -5
    313       NO      ATL     -3
    313      STL      MIN     -3
    313      PIT      CLE     -6
    313      PHI      JAX    -10
    313      NYJ      OAK   -6.5
    313      BAL      CIN     -1
    313      CHI      BUF     -7
    313      HOU      WAS     -3
    313       KC      TEN     -3

Answer 1

您需要cbind()。

如果你的第一个数据帧是A而第二个是B，那么首先选择每个数据的常用WEEK：

subset.A <- subset(A, Week == 313)
subset.B <- subset(B, Week == 313)

然后结合它们：

resultDF <- cbind(A$Week, B$Favorite, B$Underdog, A$homeScore, A$awayScore, B$Spread)

Answer 2

我不知道我是否理解正确，但几天前我有点问同样的问题。对我来说最好的答案是：

 merge(DFa, DFb, by.x='columnName_a_2Match', by.y='columnName_b_2Match')

匹配R中的data.frames

2 个答案: