my question might sound trivial to quite a lot of you, but after a long internet search I still don't have an answer to the following question:
How to convert a three dimensional array to a "three dimensional" list?
Suppose I have the following:
A1 <- matrix(runif(12),4,3)
A2 <- matrix(runif(12),4,3)
A3 <- matrix(runif(12),4,3)
MyList <- list(A1,A2,A3)
MyArray <- array(NA,c(4,3,3))
MyArray[,,1] <- A1
MyArray[,,2] <- A2
MyArray[,,3] <- A3
Is there a way to convert MyArray
into a list with "the same structure" as MyList
?
Thank you very much for your help! Best, Romain
You can think the array as a table with 3 rows and each row has 4 columns. Similarly, you can declare a three-dimensional (3d) array. For example, float y[2][4][3];
To convert Matrix to List in R, use the split() function. The split() is an inbuilt R function that divides the data in the vector into the groups defined by f. The replacement forms replace values corresponding to such a division.
You are right. The user first inputs a list, and I convert it to array. Python lists are one dimensional only.
You can use lapply
:
lapply(seq(dim(MyArray)[3]), function(x) MyArray[ , , x])
# [[1]]
# [,1] [,2] [,3]
# [1,] 0.2050745 0.21410846 0.2433970
# [2,] 0.9662453 0.93294504 0.1466763
# [3,] 0.5775559 0.86977616 0.6950287
# [4,] 0.4626039 0.04009952 0.5197830
#
# [[2]]
# [,1] [,2] [,3]
# [1,] 0.6323070 0.2684788 0.7232186
# [2,] 0.1986486 0.2096121 0.2878846
# [3,] 0.3064698 0.7326781 0.8339690
# [4,] 0.3068035 0.4559094 0.8783581
#
# [[3]]
# [,1] [,2] [,3]
# [1,] 0.9557156 0.9069851 0.3415961
# [2,] 0.5287296 0.6292590 0.8291184
# [3,] 0.4023539 0.8106378 0.4257489
# [4,] 0.7199638 0.2708597 0.6327383
There is a handy function in plyr for this:
alply(MyArray,3)
$`1`
[,1] [,2] [,3]
[1,] 0.7643427 0.27546113 0.31131581
[2,] 0.6254926 0.19449191 0.04617286
[3,] 0.5879341 0.10484810 0.08056612
[4,] 0.4423744 0.09046864 0.82333646
$`2`
[,1] [,2] [,3]
[1,] 0.3726026 0.3063512 0.4997664
[2,] 0.8757070 0.2309768 0.9274503
[3,] 0.9269987 0.5751226 0.9347077
[4,] 0.4063655 0.4593746 0.4830263
$`3`
[,1] [,2] [,3]
[1,] 0.7538325 0.18824996 0.3679285
[2,] 0.4985409 0.61026876 0.4134485
[3,] 0.3209792 0.60056130 0.8887652
[4,] 0.0160972 0.06534362 0.2618056
You can keep the dimension names simply by adding the .dims
argument:
dimnames(MyArray) <- Map(paste0, letters[seq_along(dim(MyArray))],
lapply(dim(MyArray), seq))
alply(MyArray,3,.dims = TRUE)
$c1
b
a b1 b2 b3
a1 0.4752803 0.01728003 0.1744352
a2 0.7144411 0.13353980 0.1069188
a3 0.2429445 0.60039428 0.8610824
a4 0.9757289 0.71712288 0.5941202
$c2
b
a b1 b2 b3
a1 0.07118296 0.43761119 0.3174442
a2 0.16458581 0.65040897 0.5654846
a3 0.88711374 0.07655825 0.7163768
a4 0.07117881 0.79314705 0.9054457
$c3
b
a b1 b2 b3
a1 0.04761279 0.5668479 0.04145537
a2 0.72320804 0.2692747 0.74700930
a3 0.82138686 0.3604211 0.57163369
a4 0.53325169 0.8831302 0.71119421
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