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将M×N矩阵转换为M个向量的数组,每个向量的长度为N

[英]Convert an M by N matrix to an array of M vectors each of length N

Trivial question I imagine.. 我想像的琐碎问题

I have an M by N matrix. 我有一个M x N矩阵。 For example: 例如:

   mat <- matrix(data = rnorm(12), nrow = 3, ncol = 4)

and I would like to convert it to an array of M vectors each of length N (meaning an array where each of the vectors is a row in the matrix). 我想将其转换为长度为N的M个向量的数组(表示每个向量是矩阵中的一行的数组)。

I'm going to go with @joran and also presume that you mean you want a list, and not an array. 我将使用@joran并假设您的意思是您想要一个列表,而不是一个数组。 So to split a matrix by its rows, you can use split with row 因此,要按行拆分矩阵,可以使用按row split

split(mat, row(mat))
# $`1`
# [1]  0.4583610 -2.2781416 -1.5936889  0.6746935
#
# $`2`
# [1]  1.3758054  0.3980531  1.0167698 -0.7905586
#
# $`3`
# [1]  1.3177040 -1.5425623  0.2905337  0.4275807

Similarly, to split by the columns you can do split(mat, col(mat)) 同样,要按列拆分,可以执行split(mat, col(mat))

Are you looking for t to transpose your matrix? 您是否正在寻找t来转置矩阵?

mat <- matrix(data = rnorm(12), nrow = 3, ncol = 4)
mat
#          [,1]       [,2]        [,3]       [,4]
#[1,] 0.9577888 -0.6362354 -0.02213621 -0.1537499
#[2,] 2.2317189 -0.2593682  0.67468979 -2.2123352
#[3,] 0.8379689 -0.3452324  0.66811564 -1.9828007
t(mat)
#            [,1]       [,2]       [,3]
#[1,]  0.95778884  2.2317189  0.8379689
#[2,] -0.63623540 -0.2593682 -0.3452324
#[3,] -0.02213621  0.6746898  0.6681156
#[4,] -0.15374989 -2.2123352 -1.9828007

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