如何在 R 中按行复制矩阵?
r programmingserver side programmingprogramming更新于 2025/6/25 15:07:17
按行复制矩阵意味着按行重复矩阵一次或多次。例如，如果一个矩阵只有一行三列，那么复制该矩阵三次，也就是重复该行三次。这可以通过将 rep 函数与 matrix 函数结合使用来实现，如下例所示。
示例
M<-matrix(1:25,ncol=5) M
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
复制矩阵 M 两次 −
示例
matrix(rep(t(M),2),ncol=ncol(M),byrow=TRUE)
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 [6,] 1 6 11 16 21 [7,] 2 7 12 17 22 [8,] 3 8 13 18 23 [9,] 4 9 14 19 24 [10,] 5 10 15 20 25
复制矩阵 M 三次 −
示例
matrix(rep(t(M),3),ncol=ncol(M),byrow=TRUE)
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 [6,] 1 6 11 16 21 [7,] 2 7 12 17 22 [8,] 3 8 13 18 23 [9,] 4 9 14 19 24 [10,] 5 10 15 20 25 [11,] 1 6 11 16 21 [12,] 2 7 12 17 22 [13,] 3 8 13 18 23 [14,] 4 9 14 19 24 [15,] 5 10 15 20 25
复制矩阵 M 五次 −
示例
matrix(rep(t(M),5),ncol=ncol(M),byrow=TRUE)
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 [6,] 1 6 11 16 21 [7,] 2 7 12 17 22 [8,] 3 8 13 18 23 [9,] 4 9 14 19 24 [10,] 5 10 15 20 25 [11,] 1 6 11 16 21 [12,] 2 7 12 17 22 [13,] 3 8 13 18 23 [14,] 4 9 14 19 24 [15,] 5 10 15 20 25 [16,] 1 6 11 16 21 [17,] 2 7 12 17 22 [18,] 3 8 13 18 23 [19,] 4 9 14 19 24 [20,] 5 10 15 20 25 [21,] 1 6 11 16 21 [22,] 2 7 12 17 22 [23,] 3 8 13 18 23 [24,] 4 9 14 19 24 [25,] 5 10 15 20 25
复制矩阵 M 五次 −
示例
matrix(rep(t(M),6),ncol=ncol(M),byrow=TRUE)
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 [6,] 1 6 11 16 21 [7,] 2 7 12 17 22 [8,] 3 8 13 18 23 [9,] 4 9 14 19 24 [10,] 5 10 15 20 25 [11,] 1 6 11 16 21 [12,] 2 7 12 17 22 [13,] 3 8 13 18 23 [14,] 4 9 14 19 24 [15,] 5 10 15 20 25 [16,] 1 6 11 16 21 [17,] 2 7 12 17 22 [18,] 3 8 13 18 23 [19,] 4 9 14 19 24 [20,] 5 10 15 20 25 [21,] 1 6 11 16 21 [22,] 2 7 12 17 22 [23,] 3 8 13 18 23 [24,] 4 9 14 19 24 [25,] 5 10 15 20 25 [26,] 1 6 11 16 21 [27,] 2 7 12 17 22 [28,] 3 8 13 18 23 [29,] 4 9 14 19 24 [30,] 5 10 15 20 25
