匹配R中两个不同数据框中的数据,例如Excel VLOOKUP

问题描述 投票:0回答:1

我正在尝试根据Excel中VLOOKUP表的等效性将数据从一个数据帧拉到另一数据帧。我看过R中最流行的VLOOKUP问题,但看不到它如何适用于我的特定问题。关键是我不想将第二个数据帧中的所有列都拉入我的第一个数据框中-我只想拉入一个列。我很确定这将是merge函数的某种派生。

参考以下数据,我正在尝试创建一个名为df1$Trait1Percentile的新列。这需要根据LookupTable$Trait1Percentilesdf1$Trait1Scores

LookupTable$Scores
r dataframe merge vlookup
1个回答
0
投票

您可以在这里使用#Import data. df1 <- structure(list(JobNumber = c(634L, 21L, 300L, 797L, 1112L, 147L, 1L, 4L, 260L, 194L, 981L, 1110L, 634L, 554L, 213L, 722L, 1036L, 855L, 624L, 1113L, 681L, 547L, 195L, 624L, 546L, 201L, 918L, 1069L, 300L, 294L, 587L, 933L, 918L, 620L, 918L, 298L, 749L, 295L, 635L, 515L, 624L, 147L, 200L, 527L, 800L, 827L, 4L, 568L, 252L, 655L, 559L, 629L, 639L, 933L, 214L, 750L, 1066L, 495L, 1113L, 1L, 1113L, 12L, 561L, 741L, 495L, 981L, 147L, 199L, 629L, 163L, 615L, 294L, 49L, 624L, 260L, 1L, 299L, 193L, 108L, 113L, 426L, 299L, 708L, 749L, 749L, 483L, 935L, 1036L, 295L, 12L, 1113L, 1038L, 4L, 973L, 448L, 295L, 197L, 76L, 1L, 1L), Trait1Score = c(3.89, 4.39, 4.22, 4.21, 3.94, 3.9, 4.58, 4.5, 4.29, 4.47, 4.41, 4.4, 4.14, 4.78, 4.09, 4.58, 4.27, 4.24, 3.96, 3.94, 4.3, 4.07, 4.28, 4.19, 4.57, 4.74, 3.29, 4.23, 3.51, 3.77, 4.46, 5.04, 4.25, 3.92, 3.78, 4.43, 4.12, 4.18, 4.63, 3.25, 3.87, 4.4, 3.83, 4.03, 3.42, 4.9, 4.09, 4.58, 4.29, 4.7, 4.38, 4.61, 4.41, 4.5, 4.6, 4.22, 3.72, 4.34, 4.34, 4.38, 4.15, 4.22, 3.93, 5, 3.81, 4.3, 4.6, 4.96, 4.29, 4.8, 5.05, 3.76, 4.81, 4.77, 4.25, 4.17, 4.75, 4.15, 4.35, 4.23, 5.31, 4.18, 3.67, 3.84, 4.06, 3.66, 3.58, 4.37, 4.43, 4.63, 4.74, 4.79, 5.04, 3.55, 3.64, 4.9, 4.38, 4.01, 4.47, 4.53 ), Trait2Score = c(4, 2.94, 3.17, 3.83, 4.22, 3.83, 5.11, 3, 2.83, 2.78, 2.22, 2.22, 4.11, 2.39, 2.22, 2.06, 2.89, 3.61, 3.89, 4.89, 3.78, 4.22, 4.5, 4.39, 1.89, 4.78, 4.56, 3.78, 2.28, 4.61, 2.72, 1.89, 4.44, 4.06, 3.72, 2.44, 3.61, 2.06, 2.17, 6.44, 3.22, 2.78, 4.61, 2.72, 2.83, 2.44, 6.5, 2.28, 2.89, 2.11, 4.44, 2.83, 3, 6.33, 3.11, 3.17, 3.67, 4.5, 2.5, 4.33, 5, 2.89, 3.89, 1.72, 3.33, 4.28, 2.17, 3.17, 2.61, 2.89, 1.22, 3.39, 1.28, 2.61, 2.5, 4.56, 2.89, 4.89, 3.11, 3.5, 1.44, 2.39, 5.33, 3.78, 1.5, 3.44, 5.83, 3.17, 3.78, 2.67, 1.61, 1.83, 4.56, 4.67, 4.61, 2.5, 4.94, 3.94, 4.33, 2.72)), row.names = c(NA, -100L), class = "data.frame") LookupTable <- structure(list(Scores = c(0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 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match

使用df1$Trait1Percentile <- LookupTable$Trait1Percentiles[match(df1$Trait1Score, LookupTable$Scores)] head(df1) # JobNumber Trait1Score Trait2Score Trait1Percentile #1 634 3.89 4.00 14.08 #2 21 4.39 2.94 68.00 #3 300 4.22 3.17 46.87 #4 797 4.21 3.83 45.61 #5 1112 3.94 4.22 17.23 #6 147 3.90 3.83 14.61 ,您需要选择相关列

merge

类似地在merge(df1, LookupTable, by.x = 'Trait1Score', by.y = 'Scores')[1:4] 中:

dplyr
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