如何将矩阵转换为数组？ [英] How to convert matrix into array?
问题描述
我有一个大数据集，我想将其转换为数组。但是举个简单的例子。
我有以下矩阵
I have a large data set and i want to convert it into array. But for instance lets have a simple example. I have following matrix
`\begin{table}[ht]
\begin{center}
\begin{tabular}{rrrrrrr}
\hline
& 1 & 2 & 3 & 4 & 5 & 6 \\
\hline
1 & 1 & 11 & 21 & 31 & 41 & 51 \\
2 & 2 & 12 & 22 & 32 & 42 & 52 \\
3 & 3 & 13 & 23 & 33 & 43 & 53 \\
4 & 4 & 14 & 24 & 34 & 44 & 54 \\
5 & 5 & 15 & 25 & 35 & 45 & 55 \\
6 & 6 & 16 & 26 & 36 & 46 & 56 \\
7 & 7 & 17 & 27 & 37 & 47 & 57 \\
8 & 8 & 18 & 28 & 38 & 48 & 58 \\
9 & 9 & 19 & 29 & 39 & 49 & 59 \\
10 & 10 & 20 & 30 & 40 & 50 & 60 \\
\hline
\end{tabular}
\end{center}
\end{table}
`
我需要的是将该矩阵转换为维数（5,6,2）的数组，其中第一个矩阵包含 x的前五行，第二个矩阵将包含后五行。
我尝试过
What i need is to convert this matrix into array of dimension (5,6,2), in which first matrix contains first five rows of "x" and second matrix will contain last 5 rows. I have tried
dim(x)<-c(5,6,2)
这使得矩阵1的连续数字为1:30，然后矩阵2的连续数字为31:60。这不是我的要求。
which makes the matrix-1 with 1:30 consecutive numbers and then matrix-2 with 31:60 consecutive numbers. Which is not my requirement.
预先感谢。
推荐答案
您提供的是LaTeX表示。 R中的相同矩阵为
What you offered is a LaTeX representation. The same matrix in R would be
M <- matrix(1:60, ncol=6) # a 10 x 6 matrix
考虑使用软件包 abind中的 abind ：
Consider using abind from package "abind":
require(abind)
abind( M[1:5,], M[6:10, ], along=3 )
#-----------------
, , 1
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 1 11 21 31 41 51
[2,] 2 12 22 32 42 52
[3,] 3 13 23 33 43 53
[4,] 4 14 24 34 44 54
[5,] 5 15 25 35 45 55
, , 2
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 6 16 26 36 46 56
[2,] 7 17 27 37 47 57
[3,] 8 18 28 38 48 58
[4,] 9 19 29 39 49 59
[5,] 10 20 30 40 50 60
如果您不想使用外部软件包，并且愿意为每个切片换位而感到满意，然后先转置，然后再重新定尺寸离子。您不能转置数组，但是，可以查看一个 aperm 函数：
If you didn't want to use an outside package and would settle for the transposed version of each slice, then transpose first and then re-dimension. You cannot transpose an array, however, there is an aperm function you could look at:
Mt <- t(M)
dim(Mt) <- c(6, 5, 2)
Mt
, , 1
[,1] [,2] [,3] [,4] [,5]
[1,] 1 2 3 4 5
[2,] 11 12 13 14 15
[3,] 21 22 23 24 25
[4,] 31 32 33 34 35
[5,] 41 42 43 44 45
[6,] 51 52 53 54 55
, , 2
[,1] [,2] [,3] [,4] [,5]
[1,] 6 7 8 9 10
[2,] 16 17 18 19 20
[3,] 26 27 28 29 30
[4,] 36 37 38 39 40
[5,] 46 47 48 49 50
[6,] 56 57 58 59 60
精子解决方案：
> aperm(Mt, c(2,1,3))
, , 1
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 1 11 21 31 41 51
[2,] 2 12 22 32 42 52
[3,] 3 13 23 33 43 53
[4,] 4 14 24 34 44 54
[5,] 5 15 25 35 45 55
, , 2
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 6 16 26 36 46 56
[2,] 7 17 27 37 47 57
[3,] 8 18 28 38 48 58
[4,] 9 19 29 39 49 59
[5,] 10 20 30 40 50 60
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