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法律研究如何在 R 矩阵中将重复的行名称和列名称更改为序列？
要将重复的行名称和列名称更改为序列，我们首先需要将这些名称读入矢量中，然后使用 make.unique 函数将它们设置为行名称和列名称。例如，如果一个矩阵的行名称定义为 A、B、A、B、A，则可以将其转换为 A、B、A.1、B.1、A.2。
示例 1
M1<−matrix(1:25,ncol=5) M1
输出
[,1] [,2] [,3] [,4] [,5] [1,] 1 6 11 16 21 [2,] 2 7 12 17 22 [3,] 3 8 13 18 23 [4,] 4 9 14 19 24 [5,] 5 10 15 20 25
示例
colnames(M1)<−c("A","B","A","A","B")
rownames(M1)<−c("C","D","D","C","C")
M1输出
A B A A B C 1 6 11 16 21 D 2 7 12 17 22 D 3 8 13 18 23 C 4 9 14 19 24 C 5 10 15 20 25
示例
C1<−c("A","B","A","A","B")
colnames(M1)<−make.unique(C1)
R1<−c("C","D","D","C","C")
rownames(M1)<−make.unique(R1)
M1输出
A B A.1 A.2 B.1 C 1 6 11 16 21 D 2 7 12 17 22 D.1 3 8 13 18 23 C.1 4 9 14 19 24 C.2 5 10 15 20 25
示例 2
M2<−matrix(rnorm(25),nrow=5) M2
输出
[,1] [,2] [,3] [,4] [,5] [1,] −0.9603079 2.7738930 −1.68887845 −0.3516074 2.237315508 [2,] −0.3346606 −1.2140159 −0.08791009 −0.3596462 −0.009851671 [3,] 0.7399818 −2.1791770 −1.70416955 0.2715390 −0.766143519 [4,] 1.1195890 −1.7790965 0.09878024 −0.4761445 1.859189587 [5,] −1.3238430 0.2936939 −2.15993049 −0.9182923 −0.647121554
示例
colnames(M2)<−c("Hot","Cold","Cold","Hot","Hot")
rownames(M2)<−c("Asian","Americas","Americas","Asian","Americas")
M2输出
Hot Cold Cold Hot Hot Asian −0.9603079 2.7738930 −1.68887845 −0.3516074 2.237315508 Americas −0.3346606 −1.2140159 −0.08791009 −0.3596462 −0.009851671 Americas 0.7399818 −2.1791770 −1.70416955 0.2715390 −0.766143519 Asian 1.1195890 −1.7790965 0.09878024 −0.4761445 1.859189587 Americas −1.3238430 0.2936939 −2.15993049 −0.9182923 −0.647121554
示例
C2<−c("Hot","Cold","Cold","Hot","Hot")
colnames(M2)<−make.unique(C2)
R2<−c("Asian","Americas","Americas","Asian","Americas")
rownames(M2)<−make.unique(R2)
M2输出
Hot Cold Cold.1 Hot.1 Hot.2 Asian −0.9603079 2.7738930 −1.68887845 −0.3516074 2.237315508 Americas −0.3346606 −1.2140159 −0.08791009 −0.3596462 −0.009851671 Americas.1 0.7399818 −2.1791770 −1.70416955 0.2715390 −0.766143519 Asian.1 1.1195890 −1.7790965 0.09878024 −0.4761445 1.859189587 Americas.2 −1.3238430 0.2936939 −2.15993049 −0.9182923 −0.647121554
示例 3
M3<−matrix(sample(c(21:50),16),nrow=4) M3
输出
[,1] [,2] [,3] [,4] [1,] 36 46 26 21 [2,] 42 24 34 50 [3,] 37 33 43 27 [4,] 45 30 49 39
示例
colnames(M3)<−c("V1","V1","V2","V2")
rownames(M3)<−c("case1","case2","case2","case1")
M3输出
V1 V1 V2 V2 case1 36 46 26 21 case2 42 24 34 50 case2 37 33 43 27 case1 45 30 49 39
示例
C3<−c("V1","V1","V2","V2")
colnames(M3)<−make.unique(C3)
R3<−c("case1","case2","case2","case1")
rownames(M3)<−make.unique(R3)
M3输出
V1 V1.1 V2 V2.1 case1 36 46 26 21 case2 42 24 34 50 case2.1 37 33 43 27 case1.1 45 30 49 39
更新于：2021 年 2 月 5 日
367 次浏览
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