如何在 R 中从带名字的向量中移除名称?
要将名称分配给向量的值,我们可以使用 names 函数,而可以使用 unname 函数来移除名称。例如,如果我们有一个带有名称元素的向量 x,并且我们要移除这些元素的名称,那么我们可以使用命令 unname(x)。
示例 1
> x1<-1:50 > names(x1)<-sample(LETTERS[1:26],50,replace=TRUE) > x1
输出
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
Explore our latest online courses and learn new skills at your own pace. Enroll and become a certified expert to boost your career.
示例
> unname(x1)
输出
[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
示例 2
> x2<-rnorm(50) > names(x2)<-1:50 > x2
输出
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
[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
示例 3
> x3<-rpois(200,5) > x3
输出
[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
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
[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 4
> x4<-runif(50,1,5) > x4
输出
[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
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
[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
广告