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 unrolling
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 <- m
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)
B
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.
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducib
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
[[alternative HTML version deleted]]
matrix(!x[,-1]%in% x[,1],nrow=5),2,all))])
> Fnew<-array(unlist(list1),dim=c(dim(list1[[1]]),length(list1)))
>
> identical(F,Fnew)
> #[1] TRUE
> A.K.
>
>
> - Original Message -
> From: Ray Cheung
> To: r-help@r-project.org
> Cc:
> Sent: Wednesday, Feb
im(list1[[1]]),length(list1)))
identical(F,Fnew)
#[1] TRUE
A.K.
- Original Message -
From: Ray Cheung
To: r-help@r-project.org
Cc:
Sent: Wednesday, February 6, 2013 10:16 PM
Subject: [R] Merging data in arrays
Dear All,
Here is a hypothetical sample (sorry for the clumsy code):
A1 &l
Dear All,
Here is a 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 <- matrix(c
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