`vec2mat.Rd`

Function to convert a vector into a square matrix by filling up the lower triangular part of the matrix.

`vec2mat(x, diag=FALSE, corr=!diag, dimnames)`

- x
a vector of the correct length.

- diag
logical to specify whether the vector also contains the diagonal values of the lower triangular part of the matrix (the default is

`FALSE`

).- corr
logical to specify whether the diagonal of the matrix should be replaced with 1's (the default is to do this when

`diag=FALSE`

).- dimnames
optional vector of the correct length with the dimension names of the matrix.

The values in `x`

are filled into the lower triangular part of a square matrix with the appropriate dimensions (which are determined based on the length of `x`

). If `diag=TRUE`

, then `x`

is assumed to also contain the diagonal values of the lower triangular part of the matrix. If `corr=TRUE`

, then the diagonal of the matrix is replaced with 1's.

A matrix.

```
vec2mat(1:6, corr=FALSE)
#> [,1] [,2] [,3] [,4]
#> [1,] NA 1 2 3
#> [2,] 1 NA 4 5
#> [3,] 2 4 NA 6
#> [4,] 3 5 6 NA
vec2mat(seq(0.2, 0.7, by=0.1), corr=TRUE)
#> [,1] [,2] [,3] [,4]
#> [1,] 1.0 0.2 0.3 0.4
#> [2,] 0.2 1.0 0.5 0.6
#> [3,] 0.3 0.5 1.0 0.7
#> [4,] 0.4 0.6 0.7 1.0
vec2mat(1:10, diag=TRUE)
#> [,1] [,2] [,3] [,4]
#> [1,] 1 2 3 4
#> [2,] 2 5 6 7
#> [3,] 3 6 8 9
#> [4,] 4 7 9 10
vec2mat(1:6, corr=FALSE, dimnames=c("A","B","C","D"))
#> A B C D
#> A NA 1 2 3
#> B 1 NA 4 5
#> C 2 4 NA 6
#> D 3 5 6 NA
```