There is a reason why merge is not designed to work directly with arrays: the
matching of rows can easily yield a result with a different number of rows than
the initial data had. This plays havoc with the nature of arrays. I would
recommend that if a merge is really what you want then
Hello,
I bet there are simpler solutions but I'm not thinking of anything else,
right now.
fun - function(x, y){
f - function(a, b){
a - as.data.frame(a)
b - as.data.frame(b)
names(a)[1] - names(b)[1] - V1
res - merge(b,
Dear All,
I've 2 arrays A and B:
dim(A) = 100, 10, 1000
dim(B) = 100, 20, 900
I know there are 5 columns of values common to both arrays. I want to ask
how to merge the 2 arrays. Thanks in advance!
Best Regards,
Ray
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I think this specification is insufficient to respond accurately to. Please
make a reproducible subset of your data (or simulated data) and provide it in
dput form, and describe your desired result data set more clearly.
Thanks, Jeff.
Here is a simplified hypothetical sample (sorry for the clumsy code):
A1 - matrix(1:5, nrow=5, ncol=1)
A2 - matrix(6:10, nrow=5, ncol=1)
A3 - matrix(11:15, nrow=5, ncol=1)
A4 - matrix(16:20, nrow=5, ncol=1)
A5 - matrix(21:25, nrow=5, ncol=1)
A6 - matrix(26:30, nrow=5, ncol=1)
B1 -
Hi,
I didn't fully understand the logic.
You could get the result by:
list1-lapply(mapply(cbind,lapply(1:2,function(i)
E[,,i]),lapply(c(1,3),function(i) C[,i,]),SIMPLIFY=FALSE),function(x)
x[,c(TRUE,apply(matrix(!x[,-1]%in% x[,1],nrow=5),2,all))])
Thanks for the codes. Maybe I elaborate more here.
In my actual dataset, the dim(E) = (200, 20, 1000) and dim(C) = (200,15,
965) in which I don't know which 35 matrix are missing. I want to ask how
merge the two arrays by matching the first 5 columns of values. Thanks you.
Best Regards,
Ray
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