Sorry typos
Try this. Suppose your list of matrices is in the list locL.
nc <- 3
locL2 <- list()
for ( i in 1:length(locL) )
locL2[[i]] <- as.numeric( t( locL[[i]] ) )
bigMat <- matrix(unlist(locL2), ncol=nc, byrow=TRUE)
HTH,
Eric
On Sun, Jun 10, 2018 at 7:10 PM, Eric Berger <ericjberger at gmail.com>
wrote:
> Try this. Suppose your list of matrices is in the list locL.
>
> nc <- 3
>
> locL2 <- list()
> for ( i in 1:length(locL )
> locL2[[i]] <- as.numeric(t(locL[[i]]))
>
> bigMat <- matrix(unlist(locL3), ncol=nc, byrow=TRUE)
>
> HTH,
> Eric
>
>
> On Sun, Jun 10, 2018 at 6:33 PM, Christofer Bogaso <
> bogaso.christofer at gmail.com> wrote:
>
>> Hi,
>>
>> I have a list of length 10,000, and each element of that list is a
matrix
>> with 3 columns and 2,000 rows.
>>
>> Now when I tried to make a Matrix object with that list using
>> Reduce('rbind', list), my code is taking a considerable amount
of time.
>>
>> Is there any way to implement same above task in more efficient way?
>>
>> Thanks,
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> ng-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
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