In addition to my earlier question R: How to match/join 2 matrices of different dimensions (nrow/ncol)? I need a loop as I have a list of more than 1000 matrices. I decide to use the code (from the answers)
full_matrix[rownames(full_matrix) %in% rownames(small_matrix),
colnames(full_matrix) %in% colnames(small_matrix)] <- small_matrix
which worked fine in my case for a single matrix match. However, I have problems implementing this code into a loop for the list
of matrices
"small_matrix". Here my code:
full_matrix <- list()
for(i in 1:length(small_matrix))
{
full_matrix[i][rownames(full_matrix[i]) %in% rownames(small_matrix[i]),
colnames(full_matrix[i]) %in% colnames(small_matrix[i])] <- small_matrix[i]
}
I get the error: incorrect number of subscripts on matrix
, which is probably due to a wrong indexing in my basic knowledge of loops. I appreciate any help. Thanks
NEW EDIT according to answer of @Jim M.: Your answer works fine for this example but the small_matrix(ces) should be created as well in a loop like in this former question . Here you find the code example:
library(abind)
a = c("A", "B", "C", "D", "E", "F")
full_matrix = array(dim=c(6,6,2))
dimnames(full_matrix) <- list(levels(as.factor(a)), levels(as.factor(a)),
c("mat1","mat2"))
as @Jim M. advises. And here the new code:
##### new part for small matrix
df_import <- data.frame(OC = c("A", "A", "B", "B", "C", "C", "D", "D"),
TC = c("Z", "Z", "Y", "Y", "X", "X", "W", "W"),
Value = c(1,2,3,4,5,6,7,8),
Year = c(2010,2011))
Import_Year <- split(df_import, df_import$Year)
library(reshape2)
small_matrix <- list()
for(i in 1:length(unique(Import_Year)))
{
small_matrix[[length(small_matrix)+1]] <- dcast(OC ~ TC, data =Import_Year[[i]], value.var = "Value")
}
small_matrix
##### end new part
and than further the for-loop of @Jim. M:
for(i in seq_along(small_matrix_list)){
afill(full_matrix[, , i], local= TRUE ) <- small_matrix[[i]]
}
However, I get the following error message:
Error in `afill<-.default`(`*tmp*`, local = TRUE, value = list(OC = 1:4, :
'x' must have names on dimensions corresponding to those in 'value'
Any ideas? Thanks
I would create your full "matrix" as a 3-dimensional array rather than a list, and then fill in this array with a list of smaller matrices by looping through the corresponding index of the 3d dimension of the array.
library(abind)
a = c("A", "B", "C", "D", "E", "F")
full_matrix = array(dim=c(6,6,2))
dimnames(full_matrix) <- list(levels(as.factor(a)), levels(as.factor(a)),
c("mat1","mat2"))
small_matrix_1 = matrix(c(2, 4, 3, 1, 5, 7, 3, 1, 6), nrow=3, ncol=3)
dimnames(small_matrix_1) <- list(c("B","C","E"), c("A","B","F"))
small_matrix_2 = matrix(c(20, 40, 30, 10, 50, 70, 30, 10, 60), nrow=3, ncol=3)
dimnames(small_matrix_2) <- list(c("B","C","E"), c("A","B","F"))
small_matrix_list <- list(small_matrix_1, small_matrix_2)
for(i in seq_along(small_matrix_list)){
afill(full_matrix[, , i], local= TRUE ) <- small_matrix_list[[i]]
}
giving full_matrix with the 3rd index corresponding to each of the small matrices.
, , mat1
A B C D E F
A NA NA NA NA NA NA
B 2 1 NA NA NA 3
C 4 5 NA NA NA 1
D NA NA NA NA NA NA
E 3 7 NA NA NA 6
F NA NA NA NA NA NA
, , mat2
A B C D E F
A NA NA NA NA NA NA
B 20 10 NA NA NA 30
C 40 50 NA NA NA 10
D NA NA NA NA NA NA
E 30 70 NA NA NA 60
F NA NA NA NA NA NA
Edit: Instead of creating data.frames with dcast
as in your previous question, I would cast the data as arrays ( acast
) so that they can inserted into the larger array.
library(reshape2)
small_matrix <- vector(mode = "list", length = 2) # Pre-allocate space in the list
for (i in seq(Import_Year)){
small_matrix[[i]] <- acast(OC ~ TC, data = Import_Year[[i]], value.var = "Value")
}
I see a couple problems:
[[
to select an element of a list, eg, small_matrix[[i]]
. full_matrix
is initialized to an empty list. Hence full_matrix[i]
evaluates to list(NULL)
small_matrix
occur in full_matrix
. If they do, you can simplify the assignment as below(*). (If that's not guaranteed, you'll need to subset both sides by the intersection of the names.) full_matrix
gets initialized properly. You might have a list of matrices too, or one common full matrix in which you replace different sub-blocks. (*)
full_matrix[rownames(small_matrix), colnames(small_matrix)] <- small_matrix
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