R 当存在连接值时，请根据其在另一列中的值选择一个特定的连接值
我在R工作室工作 我有一个数据集，看起来像这样R 当存在连接值时，请根据其在另一列中的值选择一个特定的连接值,r,R,我在R工作室工作 我有一个数据集，看起来像这样 Condition TargetWord WordProduced WPcondition realValue 1 Target1 table P .009 1 Target1 word P
Condition TargetWord WordProduced WPcondition realValue
1 Target1 table P .009
1 Target1 word P .025
1 Target1 chair P .005
1 Target1 pole Q .015
1 Target1 skate Q .023
1 Target2 car Q .014
1 Target2 house P .014
1 Target2 shoes P .019
1 Target2 girl Q .011
1 Target2 life Q .020
1 Target3 computer Q .007
1 Target3 ball Q .007
1 Target3 court P .009
1 Target3 plane Q .035
1 Target3 sky O .008
2 Target4 tree P .051
2 Target4 five P .051
2 Target4 help Q .003
2 Target4 shave Q .006
2 Target4 love P .028
2 Target5 three P .056
2 Target5 file Q .056
2 Target5 hemp P .003
2 Target5 share P .006
2 Target5 long Q .028
2 Target6 ten Q .058
2 Target6 friend P .051
2 Target6 hail Q .003
2 Target6 shine P .006
2 Target6 loner P .028
Condition TargetWord WordProduced WPcondition realValue
1 Target1 word P .025
1 Target2 house P .014
1 Target3 computer Q .007
1 Target4 tree P .051
1 Target5 three P .056
1 Target6 ten Q .058
1position P .05
2position P .05
(stay with the one that it is in the first position)
1position Q .05
2position P .05
(Use the one that it is in the second position because it has a P)
1position Q .05
2position Q .05
(stay with the one that it is in the first position)
1position P .05
2position Q .05
(stay with the one that it is in the first position)
1position P .06
2position Q .05
(stay with the one that it is in the first position because the realValue is higher)
1position Q .06
2position P .05
(stay with the one that it is in the first position because the realValue is higher)
Condition TargetWord WordProduced WPcondition realValue
1 Target1 table P .009
1 Target1 word P .025
1 Target1 chair P .005
1 Target1 pole Q .015
1 Target1 skate Q .023
1 Target2 car Q .014
1 Target2 house P .014
1 Target2 shoes P .019
1 Target2 girl Q .011
1 Target2 life Q .020
1 Target3 computer Q .007
1 Target3 ball Q .007
1 Target3 court P .009
1 Target3 plane Q .035
1 Target3 sky O .008
2 Target4 tree P .051
2 Target4 five P .051
2 Target4 help Q .003
2 Target4 shave Q .006
2 Target4 love P .028
2 Target5 three P .056
2 Target5 file Q .056
2 Target5 hemp P .003
2 Target5 share P .006
2 Target5 long Q .028
2 Target6 ten Q .058
2 Target6 friend P .051
2 Target6 hail Q .003
2 Target6 shine P .006
2 Target6 loner P .028
Condition TargetWord WordProduced WPcondition realValue
1 Target1 word P .025
1 Target2 house P .014
1 Target3 computer Q .007
1 Target4 tree P .051
1 Target5 three P .056
1 Target6 ten Q .058
谢谢。似乎您可以在“TargetWord”和“realValue”上对数据帧进行排序，然后在这些组中，在“WPcondition”上进行排序。
order txt <-
"Condition TargetWord WordProduced WPcondition realValue
1 Target1 table P .009
1 Target1 word P .025
1 Target1 chair P .005
1 Target1 pole Q .015
1 Target1 skate Q .023
1 Target2 car Q .014
1 Target2 house P .014
1 Target2 shoes P .019
1 Target2 girl Q .011
1 Target2 life Q .020
1 Target3 computer Q .007
1 Target3 ball Q .007
1 Target3 court P .009
1 Target3 plane Q .035
1 Target3 sky O .008
2 Target4 tree P .051
2 Target4 five P .051
2 Target4 help Q .003
2 Target4 shave Q .006
2 Target4 love P .028
2 Target5 three P .056
2 Target5 file Q .056
2 Target5 hemp P .003
2 Target5 share P .006
2 Target5 long Q .028
2 Target6 ten Q .058
2 Target6 friend P .051
2 Target6 hail Q .003
2 Target6 shine P .006
2 Target6 loner P .028"
txt-dat类似于IRTFM的答案，但带有data.table
package
library(data.table)
setDT(dat)
dat[order(Condition,TargetWord,realValue,WPcondition),.SD[1,],"TargetWord"]
TargetWord Condition WordProduced WPcondition realValue
1: Target1 1 chair P 0.005
2: Target2 1 girl Q 0.011
3: Target3 1 computer Q 0.007
4: Target4 2 help Q 0.003
5: Target5 2 hemp P 0.003
6: Target6 2 hail Q 0.003
>
如果我清楚地理解了您的意思，您希望为每个TargetWord
选择具有最高realValue
的行，并且如果realValue
与Q
有关联，请使用p
值
利用“p”<“Q”
这一事实，我们可以-
library(dplyr)
df %>%
arrange(Condition, TargetWord, desc(realValue), WPcondition) %>%
group_by(Condition, TargetWord) %>%
slice(1L) %>%
ungroup
# Condition TargetWord WordProduced WPcondition realValue
# <int> <chr> <chr> <chr> <dbl>
#1 1 Target1 word P 0.025
#2 1 Target2 life Q 0.02
#3 1 Target3 plane Q 0.035
#4 2 Target4 tree P 0.051
#5 2 Target5 three P 0.056
#6 2 Target6 ten Q 0.058
库（dplyr）
df%>%
排列（条件、目标、描述（真实值）、WPcondition）%>%
分组依据（条件，目标）%>%
切片（1L）%>%
解组
#条件TargetWord生成的WPcondition realValue
#
#1目标词P 0.025
#2 1 Target2寿命Q 0.02
#3 1目标3飞机Q 0.035
#4 2目标4树P 0.051
#5 2目标5三个P 0.056
#6.2目标6十Q 0.058
对于data.table的新用户来说可能更清楚，可以将第三个参数的名称添加到[.data.table
。还可以解释.SD[1，]
正在做什么以及如何评估？对于Target1，最高值是0.025
。为什么选择.009
？而且0.009的wordproducted
是表
，而不是word
，如您所示。感谢您的观察。这是我的错误。单词产生了“word”是您提到的值最高的（0.025），但我写错了.009。我将对其进行编辑。