Matrices of difent size multiplication - r

Question

Good evenning
In Rstudio
I have a problem multiplying these two matrices of a different size, and it becomes worse because I have to multiply in such a way that the values in the row d2$ID=1 have to multiply only the repetitions of w$sample=1.
sample and ID are indicating is the same sample
In other words, from the "subset" d2$ID=1, every single value ("L1", "ST", "GR", "CB", "HSK", "DDM") has to multiply the whole "subset" w$sample=1 (4 rows in this case, but not always), yes, all the values "G2", "G4", "G6", "G8", "G12"
>d2
ID L1 ST GR CB HSK DDM
1 1 0.1662000 0.2337000 0.3637000 0.11110000 0.10100000 0.024300000
2 2 0.1896576 0.2280830 0.3705740 0.09406879 0.09319434 0.024422281
3 3 0.1110259 0.2217769 0.4180797 0.11122498 0.10902635 0.028866094
4 4 0.1558785 0.2008862 0.4222565 0.09805538 0.10218119 0.020742172
5 5 0.1536421 0.1674096 0.4205395 0.14362176 0.08635519 0.028431849
6 6 0.1841964 0.1514189 0.4603306 0.10243621 0.08928011 0.012337688
> w
sample G2 G4 G6 G8 G12
1 1 10.9 15.9 21.4 28.0 37.8
2 1 11.5 16.6 22.2 29.5 38.3
3 1 10.3 15.1 20.7 28.3 36.7
4 1 11.7 18.1 24.8 31.2 39.5
5 2 11.0 16.8 22.4 30.6 38.0
6 2 10.1 15.9 22.5 30.2 36.7
7 2 12.8 17.8 22.8 28.7 37.1
8 2 11.8 16.3 20.8 27.3 34.7
9 2 11.9 16.7 21.6 28.3 34.6
10 3 12.0 18.1 24.2 30.9 40.0
11 3 12.2 17.7 24.2 31.7 40.5
12 4 11.1 16.5 22.7 31.0 39.2
13 4 12.5 19.8 27.4 32.8 38.8
14 4 12.4 19.2 25.8 33.0 39.9
15 4 12.4 19.2 26.2 33.4 38.9
16 4 13.4 18.3 23.7 30.0 38.2
17 5 13.3 18.6 24.0 30.7 38.4
18 5 13.3 18.1 22.9 30.1 36.8
19 5 13.7 19.9 26.5 33.8 43.0
20 5 12.7 18.2 24.6 32.5 41.3
21 6 12.1 17.5 24.3 33.7 42.2
22 6 14.5 20.8 28.4 35.3 43.7
I have check already a lot of questions but I can't figure it out, specially because most of the information is for matrices of the same size.
I tried by filtering the data from d2, but the data set is really big, then is really inefficient.
I am a beginner, if you consider is so easy I would appreciate at least a hint, please!
I have several data sets like these ones...
Thanks in advance!

Answer 1

This seems to perform as requested:
res <- apply(w, 1, function(x){ unclass(
outer(as.matrix( x[-1] ),
as.matrix( d2[1, c( "L1", "ST", "GR", "CB", "HSK", "DDM")])))})
str(res)
# result
# num [1:30, 1:22] 1.81 2.64 3.56 4.65 6.28 ...
# - attr(*, "dimnames")=List of 2
# ..$ : NULL
# ..$ : chr [1:22] "1" "2" "3" "4" ...
I almost got it right on the first pass but after some debugging found that I needed to add the as.matrix call to both arguments inside outer (so to speak ;-). To explain my logic ... I wanted to run down each row of w with apply and then use match on the value of the first column (of each row of w) to the unique row of d2. The match function is designed for just this purpose, to return a suitable number to be used for indexing. Then with the rest of the row (x[-1] by the time it was passed through the function call), I would use outer on the row values crossed with the desired row and columns of d2. If you do it without the as.matrix calls you get an error message:
Error in tcrossprod(x, y) :
requires numeric/complex matrix/vector arguments
I don't think that's a very informative error message. Both of the arguments were numeric vectors.