Reading and reconstructing symmetric matrix with R - r

Question

I need to read the following matrix from a file. It's a symmetric correlation matrix, so half of it is omitted.
1.00
0.49 1.00
0.53 0.57 1.00
0.49 0.46 0.48 1.00
0.51 0.53 0.57 0.57 1.00
0.33 0.30 0.31 0.24 0.38 1.00
0.32 0.21 0.23 0.22 0.32 0.43 1.00
0.20 0.16 0.14 0.12 0.17 0.27 0.33 1.00
0.19 0.08 0.07 0.19 0.23 0.24 0.26 0.25 1.00
0.30 0.27 0.24 0.21 0.32 0.34 0.54 0.46 0.28 1.00
0.37 0.35 0.37 0.29 0.36 0.37 0.32 0.29 0.30 0.35 1.00
0.21 0.20 0.18 0.16 0.27 0.40 0.58 0.45 0.27 0.59 0.31 1.00
Currently, I'm using
data1 <- na.omit(as.vector(t(read.table('triangle-data.txt', fill = TRUE))))
pt <- 12
R <- matrix(0, nrow = pt , ncol = pt)
for(i in 1:pt){
R[i, 1:i] <- data1[(i*(i-1)/2 + 1): (i*(i+1)/2)]
}
R <- R + t(R) - diag(rep(1, pt))
R
The result is
> dput(R)
structure(c(1, 0.49, 0.53, 0.49, 0.51, 0.33, 0.32, 0.2, 0.19,
0.3, 0.37, 0.21, 0.49, 1, 0.57, 0.46, 0.53, 0.3, 0.21, 0.16,
0.08, 0.27, 0.35, 0.2, 0.53, 0.57, 1, 0.48, 0.57, 0.31, 0.23,
0.14, 0.07, 0.24, 0.37, 0.18, 0.49, 0.46, 0.48, 1, 0.57, 0.24,
0.22, 0.12, 0.19, 0.21, 0.29, 0.16, 0.51, 0.53, 0.57, 0.57, 1,
0.38, 0.32, 0.17, 0.23, 0.32, 0.36, 0.27, 0.33, 0.3, 0.31, 0.24,
0.38, 1, 0.43, 0.27, 0.24, 0.34, 0.37, 0.4, 0.32, 0.21, 0.23,
0.22, 0.32, 0.43, 1, 0.33, 0.26, 0.54, 0.32, 0.58, 0.2, 0.16,
0.14, 0.12, 0.17, 0.27, 0.33, 1, 0.25, 0.46, 0.29, 0.45, 0.19,
0.08, 0.07, 0.19, 0.23, 0.24, 0.26, 0.25, 1, 0.28, 0.3, 0.27,
0.3, 0.27, 0.24, 0.21, 0.32, 0.34, 0.54, 0.46, 0.28, 1, 0.35,
0.59, 0.37, 0.35, 0.37, 0.29, 0.36, 0.37, 0.32, 0.29, 0.3, 0.35,
1, 0.31, 0.21, 0.2, 0.18, 0.16, 0.27, 0.4, 0.58, 0.45, 0.27,
0.59, 0.31, 1), .Dim = c(12L, 12L))
This is too unwieldy, and I need to hard-code its size. Is there a more convenient way?

Answer 1

I used a combination of readLines and strsplit to read the file
a <- sapply(sapply(lapply(readLines("triangle.txt"),
function(x) strsplit(x, " ")), "[", 1),
function(x) na.omit(as.numeric(x)))
and rbind to cast it into a square matrix
A <- do.call("rbind", a)
Despite the warning, the lower part of the matrix is correctly read from the file, but the upper part is all messed up, which I fixed with a little dirty trick
A[upper.tri(A)] <- 0
A <- A + t(A) - diag(nrow(A))
EDIT
Another simpler solution based on the vector of the coefficients:
data1 <- na.omit(as.vector(t(read.table('triangle.txt', fill = TRUE))))
n <- Re(polyroot(c(-length(data1), 1/2, 1/2)))[1]
A <- matrix(0, n, n)
A[upper.tri(A, diag = T)] <- data1
A <- A + t(A) - diag(n)