HI Elio,
Not sure whether this helps:
length(list.files(pattern=".txt"))
#[1] 22
 lst1 <- lapply(list.files(pattern=".txt"),function(x) 
read.table(x,header=TRUE,stringsAsFactors=FALSE))
 sapply(lst1,dim)
 sapply(lst1,function(x) all(apply(rbind(colnames(x),rownames(x)),2,function(y) 
y[1]==y[2])))
 #[1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#[16] TRUE TRUE TRUE TRUE TRUE TRUE TRUE
lst2 <- lapply(lst1,as.matrix)
uNrownames <- unique(as.vector(sapply(lst2,rownames)))
res1 <- matrix(0,nrow=length(uNrownames), ncol=ncol(lst2[[1]]), 
dimnames=list(uNrownames,NULL))
 
for(i in seq_along(lst2)){
  mat1 <- lst2[[i]]
 res1[rownames(mat1),] <- res[rownames(mat1),] + mat1
 res1
 }

 dim(res1)
#[1] 90 90



A.K.







On Tuesday, February 25, 2014 2:52 PM, Elio Shijaku <sel...@gmail.com> wrote:

Hi Arun,

I wanted to ask you again on the issue of merging several matrices. I tried to 
look through R-related pages on how to merge several symmetric matrices of same 
dimension (90x90) but with row names that need to be matched, but I didn't find 
any solution. What I found concerned the merging of two matrices which are not 
symmetric and that is not my case.

Can you help me with any code?

Attached are the files (in tab delimited text and/ Excel) that need to be 
merged. 

What I want is a 90x90 final matrix that is the sum (aggregate) of all 22 
matrices and that matches each variable. 

I would appreciate your help if possible.

Best,

Elio

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