来自数据帧列表的匹配值R

我想从当前数据帧中填充从数据帧列表中提取的值中的新列。这里是我的数据看起来像（以下全dput数据）：来自数据帧列表的匹配值R

#Data Frame to be filled 
> head(games, 5) 
     Season Div  Date HomeTeam AwayTeam FTHG FTAG FTR 
23053  1 E0 2000-09-10  Derby Charlton 2 2 D 
23054  1 E0 2000-09-11 Tottenham West Ham 1 0 H 
23055  1 E0 2000-09-16  Arsenal Coventry 2 1 H 
23056  1 E0 2000-09-16 Aston Villa Bradford 2 0 H 
23057  1 E0 2000-09-16 Charlton Tottenham 1 0 H

和我的数据帧的列表，该值将被取回/匹配：

> head(para, 1) 
$`2000-09-10` 
$`2000-09-10`$scores 
        Attack  Defense  Success 
Man United  2.14912729 -1.25946397 3.31882422 
Leicester  -0.49739636 -0.90719409 0.06857911 
Newcastle  -0.03265567 -0.42396682 0.46248947 
Liverpool  0.90666453 0.32898381 0.12367415 
Arsenal  2.06959156 -0.74226622 0.77491185 
Leeds   -0.49633686 -1.80494633 0.71006855 
Everton  0.94810944 0.02319138 0.31128405 
Tottenham  -0.60791873 -0.94621398 0.37125322 
Coventry  -0.83692022 0.49515076 -0.94503859 
Chelsea  0.49759065 0.26012454 -0.16898841 
Man City  0.34567732 1.20600136 -0.88994356 
Middlesbrough 0.52869431 1.09634207 0.16495278 
Aston Villa -1.54843810 -0.80686850 -0.23383171 
Bradford  -1.59279590 2.17819215 -1.76900051 
Charlton  -0.22182631 0.12770046 0.22004781 
Ipswich  -0.24578699 -0.11587056 -0.57752117 
Sunderland -1.22434134 1.92507466 -1.37509016 
Derby   -0.68685237 -0.01749803 0.07859067 
Southampton 0.24417108 0.08377682 -0.32019382 
West Ham  0.30164268 -0.70024952 -0.32506796

最终结果将看以下，其中，新列（Home.att，Home.def ...）从列表中充满攻击，对于正确的日期国防和成功列（第一场比赛充满手工）：

> head(result, 5) 
     Season Div  Date HomeTeam AwayTeam FTHG FTAG FTR Home.att Home.def Home.suc Away.att Away.def 
23053  1 E0 2000-09-10  Derby Charlton 2 2 D -0.686 -0.0174 0.078 -0.221 0.127 
23054  1 E0 2000-09-11 Tottenham West Ham 1 0 H  NA  NA  NA  NA  NA 
23055  1 E0 2000-09-16  Arsenal Coventry 2 1 H  NA  NA  NA  NA  NA 
23056  1 E0 2000-09-16 Aston Villa Bradford 2 0 H  NA  NA  NA  NA  NA 
23057  1 E0 2000-09-16 Charlton Tottenham 1 0 H  NA  NA  NA  NA  NA 
     Away.suc 
23053  0.220 
23054  NA 
23055  NA 
23056  NA 
23057  NA

这里是数据：

列表：

> dput(para) 
structure(list(`2000-09-10` = structure(list(scores = structure(c(2.14912728720235, 
-0.497396360763537, -0.0326556689197955, 0.906664533290402, 2.06959155533505, 
-0.496336856936472, 0.948109444486475, -0.60791873399096, -0.836920224242405, 
0.497590648317418, 0.345677324643562, 0.528694311129923, -1.5484380984862, 
-1.59279590104225, -0.221826312405977, -0.245786985298441, -1.22434134315465, 
-0.686852371353265, 0.24417107585143, 0.301642676337344, -1.25946396898093, 
-0.907194092428637, -0.423966820565071, 0.328983814921655, -0.742266224892033, 
-1.8049463252895, 0.0231913829306193, -0.946213980365056, 0.49515075621433, 
0.260124536504241, 1.20600135926941, 1.09634207344526, -0.806868498981945, 
2.17819215173134, 0.12770046311082, -0.115870563365191, 1.92507465799405, 
-0.0174980256086261, 0.0837768233442609, -0.700249518989006, 
3.31882421660283, 0.0685791134716462, 0.462489468253112, 0.12367414627459, 
0.774911853045879, 0.710068546448154, 0.311284054769298, 0.371253224469632, 
-0.945038589967606, -0.168988406898258, -0.889943557164662, 0.164952778182874, 
-0.233831713495982, -1.76900051051107, 0.220047810985818, -0.577521172371895, 
-1.37509015572961, 0.0785906712967843, -0.320193820382072, -0.325067957279463 
), .Dim = c(20L, 3L), .Dimnames = list(c("Man United", "Leicester", 
"Newcastle", "Liverpool", "Arsenal", "Leeds", "Everton", "Tottenham", 
"Coventry", "Chelsea", "Man City", "Middlesbrough", "Aston Villa", 
"Bradford", "Charlton", "Ipswich", "Sunderland", "Derby", "Southampton", 
"West Ham"), c("Attack", "Defense", "Success")))), .Names = "scores"), 
    `2000-09-11` = structure(list(scores = structure(c(2.0393133346101, 
    -0.540829703243983, -0.112676786866554, 0.737159302036929, 
    2.06330033142029, -0.566884605341195, 0.846093684747277, 
    -0.703918307389998, -0.959042142708014, 0.46674571916184, 
    0.198090956701195, 0.4085303953687, 0.564657150954971, -1.71918010765161, 
    -1.676904352495, -0.0470924017034225, -0.198365096964476, 
    -1.2681656570254, 0.155161529580561, 0.314006756807798, -1.20196548842488, 
    -0.931781220419512, -0.474448866704706, 0.186513840023453, 
    -0.872801458087194, -1.77570529857168, -0.105417478024948, 
    -0.95653279019992, 0.383018139632662, 0.11701681685574, 0.967101862640228, 
    0.84141630595534, 0.995275000232571, -0.906624488611703, 
    2.05071990529631, 1.08136983474088, -0.212336474435291, 1.70999792726233, 
    -0.111513634837269, -0.7833024343224, 3.36317974520892, -0.169706477913325, 
    0.402653854546479, 0.0896055389478296, 0.783966989384827, 
    0.814723517727525, 0.387397457869648, 0.501675202128876, 
    -1.00885846596321, -0.230975799609684, -0.749546449102057, 
    0.227106788590891, -0.0859415270077576, -0.200219271266986, 
    -1.79524576643927, -0.39126646888844, -0.368233314263709, 
    -1.22288543397946, -0.246232196286514, -0.101197923684588 
    ), .Dim = c(20L, 3L), .Dimnames = list(c("Man United", "Leicester", 
    "Newcastle", "Liverpool", "Arsenal", "Leeds", "Everton", 
    "Tottenham", "Coventry", "Chelsea", "Man City", "Middlesbrough", 
    "Charlton", "Aston Villa", "Bradford", "Derby", "Ipswich", 
    "Sunderland", "Southampton", "West Ham"), c("Attack", "Defense", 
    "Success")))), .Names = "scores"), `2000-09-16` = structure(list(
     scores = structure(c(1.92322158767458, -0.61891728696854, 
     -0.207035659727411, 0.688128125165125, 0.246315084032231, 
     1.95880174075958, -0.648638451449831, 0.768090739958042, 
     -1.0191583675216, 0.3656920613234, 0.124998067667584, 
     0.323564120241808, 0.542301440975899, -1.76485773883853, 
     -1.7642466815073, -0.066324937731207, -0.350981404691087, 
     -1.38323736267654, 0.0881220808769143, 0.794162842436876, 
     -1.40224189200917, -1.05510108659065, -0.617418626982966, 
     0.76, -0.400826740065721, -0.982638622688023, 
     -1.96015135404974, -0.22407473281442, 0.257657853367004, 
     0.0137337322954092, 0.890667127068695, 0.80253512727734, 
     0.928353461448457, -1.01661460471081, 1.93243466881776, 
     1.09289024885474, -0.359958801143917, 1.63993375643849, 
     -0.193560894118028, 0.574292574573439, 3.39626154818425, 
     -0.0293709386209353, 0.513750754643648, 0.28019086215193, 
     0.28019086215193, 0.851507423165214, 0.815035146855537, 
     0.408458215822548, -0.984289615817692, -0.20348373995346, 
     -0.674727815044826, 0.166620914769853, -0.0669389777218656, 
     -0.239956016263137, -1.69324670185382, -0.41006155, 
     -0.336971146523261, -1.15012500858924, -0.308776278774561, 
     -0.578808447575956), .Dim = c(20L, 3L), .Dimnames = list(
      c("Man United", "Leicester", "Newcastle", "Liverpool", 
      "Tottenham", "Arsenal", "Leeds", "Everton", "Coventry", 
      "Chelsea", "Man City", "Middlesbrough", "Charlton", 
      "Aston Villa", "Bradford", "Derby", "Ipswich", "Sunderland", 
      "Southampton", "West Ham"), c("Attack", "Defense", 
      "Success")))), .Names = "scores"), `2000-09-17` = structure(list(
     scores = structure(c(2.23950654572345, 2.53534637007243, 
     -1.02814784294904, 0.0758308950162754, 0.18010645884533, 
     -0.0555578804246226, -1.20639453648404, 0.628104564963435, 
     -0.359037143604242, 0.657288957120714, -0.0561769298423526, 
     -0.985662695245933, -0.822656590242715, 0.569002594138633, 
     -0.202384066222586, -0.465304772569995, -0.301679618149048, 
     -1.63709664978296, 0.027857253761329, 0.207055085875938, 
     -1.17481345793862, -1.02190991527362, -1.58188518175494, 
     -0.585777915399439, -0.143360945380226, -0.125183473879223, 
     -0.884351783270966, 0.861181295478697, -1.45949108937662, 
     0.485164154534398, -0.0783646033326118, 1.16399232392728, 
     1.59113167332065, 0.118268772413523, -0.672634459855927, 
     0.125845392474999, 0.0420698284585762, 2.10407379588099, 
     1.40440766427038, -0.168362075297294, 3.21825409955167, 
     0.936728354347971, 0.0735920870226012, 0.780725963847763, 
     0.403380549078277, -0.0824103034776063, -0.0523066073505803, 
     0.0561388304358171, 0.546381831688184, -0.208308997850788, 
     -0.585654412620274, -1.44879067994564, -0.854554389603362, 
     0.0862425265628431, 0.0862425265628431, -0.364311388350996, 
     0.199140113045724, -1.95648693778479, -0.638344606849103, 
     -0.195658558310546), .Dim = c(20L, 3L), .Dimnames = list(
      c("Man United", "Arsenal", "Leicester", "Liverpool", 
      "Tottenham", "Newcastle", "Aston Villa", "Charlton", 
      "Leeds", "Everton", "Ipswich", "Coventry", "Sunderland", 
      "Southampton", "Chelsea", "Man City", "Middlesbrough", 
      "Bradford", "Derby", "West Ham"), c("Attack", "Defense", 
      "Success")))), .Names = "scores")), .Names = c("2000-09-10", 
"2000-09-11", "2000-09-16", "2000-09-17"))

游戏：

> dput(games) 
structure(list(Season = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), 
    Div = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    1L, 1L), .Label = "E0", class = "factor"), Date = structure(c(11210, 
    11211, 11216, 11216, 11216, 11216, 11216, 11216, 11216, 11217, 
    11217, 11217), class = "Date"), HomeTeam = structure(c(7L, 
    11L, 1L, 6L, 9L, 3L, 8L, 5L, 10L, 2L, 4L, 12L), .Label = c("Arsenal", 
    "Chelsea", "Everton", "Man City", "Southampton", "Aston Villa", 
    "Derby", "Leeds", "Charlton", "Sunderland", "Tottenham", 
    "West Ham"), class = "factor"), AwayTeam = structure(c(10L, 
    5L, 11L, 9L, 4L, 3L, 7L, 8L, 6L, 1L, 12L, 2L), .Label = c("Leicester", 
    "Liverpool", "Man United", "Tottenham", "West Ham", "Derby", 
    "Ipswich", "Newcastle", "Bradford", "Charlton", "Coventry", 
    "Middlesbrough"), class = "factor"), FTHG = c(2L, 1L, 2L, 
    2L, 1L, 1L, 1L, 2L, 2L, 0L, 1L, 1L), FTAG = c(2L, 0L, 1L, 
    0L, 0L, 3L, 2L, 0L, 1L, 2L, 1L, 1L), FTR = structure(c(2L, 
    3L, 3L, 3L, 3L, 1L, 1L, 3L, 3L, 1L, 2L, 2L), .Label = c("A", 
    "D", "H"), class = "factor")), .Names = c("Season", "Div", 
"Date", "HomeTeam", "AwayTeam", "FTHG", "FTAG", "FTR"), row.names = 23053:23064, class = "data.frame")

来源

2016-08-19 Viitama

我试图理解为什么dput（游戏）正在将所有内容都扔到那里，即使我将它整理到我的完整数据中只有几行。当我明白发生了什么时，会解决它。 – Viitama

更正了dput问题。 – Viitama

同样还只是一列，但可以解决您的问题：

games_list <- list() 
for(p in 1:length(para)) { 
    # create the list of the same table over and over 
    games_list[[p]] <- games 
    # create the new column 
    games_list[[p]]$Home.att <- NA 
    # loop through 
    for (g in 1:nrow(games_list[[p]])) { 
    for(r in 1:nrow(data.frame(para[[p]]))) 
    if(games_list[[p]][g,]$HomeTeam==row.names(data.frame(para[[p]]))[r]) { 
     games_list[[p]][g,]$Home.att <- data.frame(para[[p]])[r,]$scores.Attack 
    } 
    } 
}

来源

2016-08-19 19:52:10 AidanGawronski

似乎工作。不是我强烈的一面，谢谢。 – Viitama

请注意，现在正如“for（p in 1：length（para））'循环遍历每一个数据帧。每次它都覆盖之前的内容。我没有意识到在段落中的每一个df都会有匹配。 – AidanGawronski

刚刚意识到这一点，是否有一个简单的解决方案，它会采取正确的日期正确的参数？由于每个游戏日期都有参数？ – Viitama

来自数据帧列表的匹配值R

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