如何从R中的命名向量中删除名称？

2024-04-16 00:34:06 431

要将名称分配给vector的值，我们可以使用名称函数，而使用unname函数可以删除名称。例如，如果我们有一个向量x，其中的x元素具有名称，而我们想要删除这些元素的名称，则可以使用以下命令unname(x)。

例1

> x1<-1:50
> names(x1)<-sample(LETTERS[1:26],50,replace=TRUE)
> x1

输出结果

G K N V P F F A P D L N K J V H S L F C M F H T I V
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
V R M K Y I N L N F Y A C U H P T Z Z L K E L Y
27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50

示例

> unname(x1)

输出结果

[1] 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] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50

例2

> x2<-rnorm(50)
> names(x2)<-1:50
> x2

输出结果

1 2 3 4 5 6
0.320434495 0.697341366 -0.690851096 -0.270470664 0.627552623 -0.670351573
7 8 9 10 11 12
0.416694153 0.135341529 -0.816141877 0.019222881 2.384280752 0.463381965
13 14 15 16 17 18
0.457718741 -1.220411217 0.286602691 2.023790519 -1.085566255 0.152970726
19 20 21 22 23 24
-0.949894774 0.905011951 0.479692477 1.431115243 -0.177645423 0.088219179
25 26 27 28 29 30
0.741544429 -0.306062256 -1.050278580 0.068178519 0.007891684 1.299952984
31 32 33 34 35 36
-0.118316910 -0.521622484 -0.028755947 1.305090322 -0.822214412 0.873313547
37 38 39 40 41 42
1.292973504 0.241589346 -0.688928369 -0.861205190 -0.311398855 1.338483253
43 44 45 46 47 48
-1.094867950 0.599904648 1.379982149 0.407302328 -0.855550788 -0.132740032
49 50
-0.709800907 -1.346831730

示例

> unname(x2)

输出结果

[1] 0.320434495 0.697341366 -0.690851096 -0.270470664 0.627552623
[6] -0.670351573 0.416694153 0.135341529 -0.816141877 0.019222881
[11] 2.384280752 0.463381965 0.457718741 -1.220411217 0.286602691
[16] 2.023790519 -1.085566255 0.152970726 -0.949894774 0.905011951
[21] 0.479692477 1.431115243 -0.177645423 0.088219179 0.741544429
[26] -0.306062256 -1.050278580 0.068178519 0.007891684 1.299952984
[31] -0.118316910 -0.521622484 -0.028755947 1.305090322 -0.822214412
[36] 0.873313547 1.292973504 0.241589346 -0.688928369 -0.861205190
[41] -0.311398855 1.338483253 -1.094867950 0.599904648 1.379982149
[46] 0.407302328 -0.855550788 -0.132740032 -0.709800907 -1.346831730

例子3

> x3<-rpois(200,5)
> x3

输出结果

[1] 9 4 4 6 6 9 8 8 2 5 1 8 3 6 2 4 4 6 3 3 7 7 6 2 5
[26] 4 3 5 5 4 7 4 4 6 4 6 2 5 6 9 10 5 9 4 5 7 2 4 5 5
[51] 1 7 6 5 0 7 5 4 1 2 4 3 3 4 2 1 3 6 5 7 5 6 7 2 6
[76] 3 8 8 5 4 3 3 3 8 7 3 8 2 3 6 6 5 10 8 9 5 2 4 6 5
[101] 4 6 6 9 4 3 5 4 10 1 7 5 3 7 7 4 5 8 3 3 4 6 5 7 3
[126] 7 11 6 4 6 9 7 7 5 8 0 3 6 3 6 8 8 3 5 3 6 7 4 3 6
[151] 4 4 2 5 7 3 6 2 6 5 2 2 5 6 6 4 5 5 4 11 2 3 7 4 6
[176] 7 8 7 5 6 9 3 4 8 4 2 5 6 5 3 3 4 6 9 4 3 6 4 7 3

示例

> names(x3)<-sample(0:1,200,replace=TRUE)
> x3

输出结果

1 0 0 0 1 1 1 1 1 1 0 1 1 1 0 1 1 0 0 0 1 1 1 0 0 1
9 4 4 6 6 9 8 8 2 5 1 8 3 6 2 4 4 6 3 3 7 7 6 2 5 4
1 1 0 0 1 1 0 1 1 1 0 1 0 1 0 0 1 1 1 1 1 0 0 0 0 1
3 5 5 4 7 4 4 6 4 6 2 5 6 9 10 5 9 4 5 7 2 4 5 5 1 7
1 0 0 1 0 0 0 0 1 0 0 1 1 1 0 0 1 1 1 0 1 0 0 1 1 0
6 5 0 7 5 4 1 2 4 3 3 4 2 1 3 6 5 7 5 6 7 2 6 3 8 8
1 0 1 1 0 0 0 0 0 1 0 0 0 0 1 0 0 1 0 0 1 1 0 1 1 0
5 4 3 3 3 8 7 3 8 2 3 6 6 5 10 8 9 5 2 4 6 5 4 6 6 9
0 0 1 1 0 1 1 0 0 1 0 0 0 1 1 0 1 0 1 0 1 1 1 0 0 1
4 3 5 4 10 1 7 5 3 7 7 4 5 8 3 3 4 6 5 7 3 7 11 6 4 6
0 1 0 1 1 0 0 1 0 1 0 0 0 1 1 0 0 0 1 1 1 0 1 1 0 0
9 7 7 5 8 0 3 6 3 6 8 8 3 5 3 6 7 4 3 6 4 4 2 5 7 3
0 0 0 0 1 0 0 0 0 0 0 1 1 0 1 0 1 1 0 0 0 1 0 1 1 1
6 2 6 5 2 2 5 6 6 4 5 5 4 11 2 3 7 4 6 7 8 7 5 6 9 3
0 1 0 0 0 1 1 0 1 1 1 1 0 0 0 1 0 1
4 8 4 2 5 6 5 3 3 4 6 9 4 3 6 4 7 3

示例

> unname(x3)

输出结果

[1] 9 4 4 6 6 9 8 8 2 5 1 8 3 6 2 4 4 6 3 3 7 7 6 2 5
[26] 4 3 5 5 4 7 4 4 6 4 6 2 5 6 9 10 5 9 4 5 7 2 4 5 5
[51] 1 7 6 5 0 7 5 4 1 2 4 3 3 4 2 1 3 6 5 7 5 6 7 2 6
[76] 3 8 8 5 4 3 3 3 8 7 3 8 2 3 6 6 5 10 8 9 5 2 4 6 5
[101] 4 6 6 9 4 3 5 4 10 1 7 5 3 7 7 4 5 8 3 3 4 6 5 7 3
[126] 7 11 6 4 6 9 7 7 5 8 0 3 6 3 6 8 8 3 5 3 6 7 4 3 6
[151] 4 4 2 5 7 3 6 2 6 5 2 2 5 6 6 4 5 5 4 11 2 3 7 4 6
[176] 7 8 7 5 6 9 3 4 8 4 2 5 6 5 3 3 4 6 9 4 3 6 4 7 3

例子4

> x4<-runif(50,1,5)
> x4

输出结果

[1] 2.411009 2.211185 1.391928 3.346429 3.132086 2.716000 2.500084 4.117285
[9] 3.513299 1.386085 4.712126 3.166818 1.613602 2.093889 4.185800 4.324013
[17] 4.807602 1.487395 1.221009 2.858887 3.183079 4.247183 1.680618 4.842318
[25] 1.104707 2.152010 1.513501 1.246102 4.083861 2.301772 1.899124 3.533562
[33] 4.567207 1.676978 1.272463 2.817372 3.833719 3.158989 4.262898 2.931992
[41] 1.983175 3.732617 4.654672 2.758082 4.614849 4.046474 3.797411 1.515049
[49] 1.607818 3.386288

示例

> names(x4)<-1:50
> x4

输出结果

1 2 3 4 5 6 7 8
2.411009 2.211185 1.391928 3.346429 3.132086 2.716000 2.500084 4.117285
9 10 11 12 13 14 15 16
3.513299 1.386085 4.712126 3.166818 1.613602 2.093889 4.185800 4.324013
17 18 19 20 21 22 23 24
4.807602 1.487395 1.221009 2.858887 3.183079 4.247183 1.680618 4.842318
25 26 27 28 29 30 31 32
1.104707 2.152010 1.513501 1.246102 4.083861 2.301772 1.899124 3.533562
33 34 35 36 37 38 39 40
4.567207 1.676978 1.272463 2.817372 3.833719 3.158989 4.262898 2.931992
41 42 43 44 45 46 47 48
1.983175 3.732617 4.654672 2.758082 4.614849 4.046474 3.797411 1.515049
49 50
1.607818 3.386288

示例

> unname(x4)

输出结果

[1] 2.411009 2.211185 1.391928 3.346429 3.132086 2.716000 2.500084 4.117285
[9] 3.513299 1.386085 4.712126 3.166818 1.613602 2.093889 4.185800 4.324013
[17] 4.807602 1.487395 1.221009 2.858887 3.183079 4.247183 1.680618 4.842318
[25] 1.104707 2.152010 1.513501 1.246102 4.083861 2.301772 1.899124 3.533562
[33] 4.567207 1.676978 1.272463 2.817372 3.833719 3.158989 4.262898 2.931992
[41] 1.983175 3.732617 4.654672 2.758082 4.614849 4.046474 3.797411 1.515049
[49] 1.607818 3.386288

如何从R中的命名向量中删除名称？

例1

示例

例2

示例

例子3

示例

示例

例子4

示例

示例

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