# list2matrix: Convert a List of Symmetric Matrices into a Stacked Matrix In metaSEM: Meta-Analysis using Structural Equation Modeling

## Description

It converts a list of symmetric matrices into a stacked matrix. Dimensions of the symmetric matrices have to be the same. It tries to preserve the dimension names if possible. Dimension names will be created if there are no dimension names in the first symmetric matrix.

## Usage

 `1` ```list2matrix(x, diag = FALSE) ```

## Arguments

 `x` A list of k p x p symmetric matrices. `diag` Logical. If it is `TRUE`, `vech` is used to vectorize the (covariance) matrices. If it is `FALSE`, `vechs` is used to vectorize the (correlation) matrices.

## Value

A k x p* stacked matrix where p* = p(p-1)/2 for `diag`=`FALSE` or p* = p(p+1)/2 for `diag`=`TRUE`.

## Author(s)

Mike W.-L. Cheung <[email protected]>

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17``` ```C1 <- matrix(c(1,0.5,0.4,0.5,1,0.2,0.4,0.2,1), ncol=3) C2 <- matrix(c(1,0.4,NA,0.4,1,NA,NA,NA,NA), ncol=3) ## A list without dimension names list2matrix(list(C1, C2)) # x2_x1 x3_x1 x3_x2 # [1,] 0.5 0.4 0.2 # [2,] 0.4 NA NA dimnames(C1) <- list( c("x","y","z"), c("x","y","z") ) dimnames(C2) <- list( c("x","y","z"), c("x","y","z") ) ## A list with dimension names list2matrix(list(C1, C2)) # y_x z_x z_y # [1,] 0.5 0.4 0.2 # [2,] 0.4 NA NA ```

metaSEM documentation built on Jan. 13, 2018, 5:03 p.m.