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法律研究如何在 R 中将命名向量转成列表？
命名向量无法直接转换为列表，因为我们需要取消向量的名称并将这些名称转换为列表元素的名称。这可以通过使用 lapply 函数来实现。例如，假设我们有一个命名向量 x，那么它可以通过使用命令 x<-lapply(split(x,names(x)),unname) 转换为一个列表
Example1
> x1<-1:26 > names(x1)<-LETTERS[1:26] > x1
输出
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
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示例
> List_x1<-lapply(split(x1,names(x1)),unname) > List_x1
输出
$A [1] 1 $B [1] 2 $C [1] 3 $D [1] 4 $E [1] 5 $F [1] 6 $G [1] 7 $H [1] 8 $I [1] 9 $J [1] 10 $K [1] 11 $L [1] 12 $M [1] 13 $N [1] 14 $O [1] 15 $P [1] 16 $Q [1] 17 $R [1] 18 $S [1] 19 $T [1] 20 $U [1] 21 $V [1] 22 $W [1] 23 $X [1] 24 $Y [1] 25 $Z [1] 26
Example2
> x2<-rnorm(50,47.5,3.26) > x2
输出
[1] 43.67579 46.84597 50.08969 48.86948 48.27692 48.99517 50.50144 43.50225 [9] 48.57954 43.04919 49.37592 39.46386 45.92388 43.73156 47.05908 44.59190 [17] 43.00546 46.63213 45.39842 47.19159 48.08059 48.31393 50.96543 48.27077 [25] 50.11419 52.72060 52.27889 48.02022 45.90482 47.81138 55.45007 51.79651 [33] 44.89771 43.15016 47.74477 48.08014 51.54148 48.72756 47.42376 45.41104 [41] 49.24270 47.75459 48.58061 47.46924 43.92129 43.99410 45.99165 48.07986 [49] 43.44653 48.49270
示例
> names(x2)<-sample(c("G1","G2","G3","G4","G5"),50,replace=TRUE) > x2
输出
G3 G5 G3 G1 G5 G4 G2 G5 43.67579 46.84597 50.08969 48.86948 48.27692 48.99517 50.50144 43.50225 G4 G3 G4 G1 G2 G4 G5 G5 48.57954 43.04919 49.37592 39.46386 45.92388 43.73156 47.05908 44.59190 G5 G4 G5 G2 G4 G2 G4 G5 43.00546 46.63213 45.39842 47.19159 48.08059 48.31393 50.96543 48.27077 G1 G5 G5 G3 G2 G2 G5 G2 50.11419 52.72060 52.27889 48.02022 45.90482 47.81138 55.45007 51.79651 G3 G4 G4 G3 G3 G2 G2 G4 44.89771 43.15016 47.74477 48.08014 51.54148 48.72756 47.42376 45.41104 G1 G4 G4 G5 G2 G1 G1 G5 49.24270 47.75459 48.58061 47.46924 43.92129 43.99410 45.99165 48.07986 G2 G3 43.44653 48.49270
示例
> List_x2<-lapply(split(x2,names(x2)),unname) > List_x2
输出
$G1 [1] 48.86948 39.46386 50.11419 49.24270 43.99410 45.99165 $G2 [1] 50.50144 45.92388 47.19159 48.31393 45.90482 47.81138 51.79651 48.72756 [9] 47.42376 43.92129 43.44653 $G3 [1] 43.67579 50.08969 43.04919 48.02022 44.89771 48.08014 51.54148 48.49270 $G4 [1] 48.99517 48.57954 49.37592 43.73156 46.63213 48.08059 50.96543 43.15016 [9] 47.74477 45.41104 47.75459 48.58061 $G5 [1] 46.84597 48.27692 43.50225 47.05908 44.59190 43.00546 45.39842 48.27077 [9] 52.72060 52.27889 55.45007 47.46924 48.07986
更新日期：2020 年 11 月 23 日
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