我有以下矩阵mat1:
mat1 <- matrix (1:16, 4)
colnames(mat1) <- c("A1","B2","C3","D4"); row.names(mat1) <- c("A1","B2","C3","D4")
mat1
A1 B2 C3 D4
A1 1 5 9 13
B2 2 6 10 14
C3 3 7 11 15
D4 4 8 12 16
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我还有一个较小的矩阵small_mat:
small_mat <- matrix (1:4, 2)
colnames(small_mat) <- c("A1","C3"); row.names(small_mat) <- c("A1","C3")
A1 C3
A1 1 3
C3 2 4
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我想制作small_mat与 相同的大小mat1,在需要的地方添加零并保持colnames和row.names的顺序与 相同mat1。
期望的结果:
A1 B2 C3 D4
A1 1 0 3 0
B2 0 0 0 0
C3 2 0 4 0
D4 0 0 0 0
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我尝试过从缺失small_mat colnames和随后使用中创建一个零矩阵rbind.fill.matrix,但没有完全实现:
not_in_small_mat <- colnames(mat1)[!(colnames(mat1) %in% colnames(small_mat))] # see what colnames are missing from small_mat
zeros <- matrix(data=0,nrow=length(not_in_small_mat),ncol=length(colnames(mat1))) # create matrix of those needing adding
colnames(zeros) <- colnames(mat1)
result <- rbind.fill.matrix(small_mat,zeros)
A1 C3 B2 D4
[1,] 1 3 NA NA
[2,] 2 4 NA NA
[3,] 0 0 0 0
[4,] 0 0 0 0
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这会将 插入small_mat到零矩阵中
mat1 <- matrix(rep(0, 16), 4)
colnames(mat1) <- c("A1", "B2", "C3", "D4")
row.names(mat1) <- c("A1", "B2", "C3", "D4")
small_mat <- matrix(1:4, 2)
colnames(small_mat) <- c("A1", "C3")
row.names(small_mat) <- c("A1", "C3")
mat1[rownames(small_mat), colnames(small_mat)] <- small_mat
mat1
A1 B2 C3 D4
A1 1 0 3 0
B2 0 0 0 0
C3 2 0 4 0
D4 0 0 0 0
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