On Jul 5, 2021, at 7:56 AM, Laurent Rhelp <LaurentRHelp at free.fr> wrote:
Dear R-Help,
I have an array x made up of three matrices of 5 rows and 3 columns of complex numbers (the complex numbers are not the problem)
## my array
x <- structure(c(5.6196790161893828+0i, 5.7565523942393364+0i, 8.5242834298729342+0i,
10.304766710160479+0i, 11.412967010108229+0i, -2.6952197604866495-5.7324226520260237e-18i,
-3.8053698833683476-1.5535793240880411i, -4.440850591952894-0.21277190153473785i,
-4.9049897326853316+0.22487294128201613i, -4.6982778900868931-0.35986943359186585i,
-6.7722948827866034-1.8252881225149525e-16i, -5.6864255243941733-0.82149125972147463i,
-2.5321753317962115-3.4309121438578525i, 0.85377696343414344-4.3720244641138883i,
6.3363344379954638-2.23654533694011i, -2.6952197604866495+5.7324226520260237e-18i,
-3.8053698833683476+1.5535793240880411i, -4.440850591952894+0.21277190153473785i,
-4.9049897326853316-0.22487294128201613i, -4.6982778900868931+0.35986943359186585i,
3.1683154084671417+0i, 5.397392162921844+0i, 8.3085887222115922+0i,
11.150391891976289+0i, 13.173434845070231+0i, 3.7978840709983359+5.0735539531499429e-17i,
3.0599215005995717-2.3669737981128267i, 0.5951827523696811-3.2116907301709845i,
-1.7735244105472532-3.8366652813316566i, -5.0558348297797169-2.6645747173403049i,
-6.7722948827866034+1.8252881225149525e-16i, -5.6864255243941733+0.82149125972147463i,
-2.5321753317962115+3.4309121438578525i, 0.85377696343414344+4.3720244641138883i,
6.3363344379954638+2.23654533694011i, 3.7978840709983359-5.0735539531499429e-17i,
3.0599215005995717+2.3669737981128267i, 0.5951827523696811+3.2116907301709845i,
-1.7735244105472532+3.8366652813316566i, -5.0558348297797169+2.6645747173403049i,
8.5581082281979697+0i, 8.6908832216086331+0i, 12.394094469562258+0i,
16.106350896659897+0i, 19.569513600539693+0i), .Dim = c(5L, 3L,
3L))
str(x)
# cplx [1:5, 1:3, 1:3] 5.62+0i 5.76+0i 8.52+0i ...
The dimensions (i,j,k) of my array are 5, 3, 3. For every value of i, I am interested in the squared matrices made up of the j columns for all the k indice. For a given value i I have to keep the row i for every k. For example if i=1, I am interested by the matrix x[1,,]
##
x[1,,]
## [,1] [,2] [,3]
## [1,] 5.619679+0i -2.695220+0i -6.772295+0i
## [2,] -2.695220-0i 3.168315+0i 3.797884-0i
## [3,] -6.772295-0i 3.797884+0i 8.558108+0i
Now, for every value of i, I want to calculate the SVD decomposition and get the diagonal matrix created by the singular values. When I set the i value it works:
diag( svd(x[1,,])$d )
# [,1] [,2] [,3]
# [1,] 15.73833 0.000000 0.0000000
# [2,] 0.00000 1.502771 0.0000000
# [3,] 0.00000 0.000000 0.1049992
But when I try to do a loop on the i value it doesn't work:
apply(x, c(2,3), FUN = function(x) diag( svd(x)$d ))