metaSEM: create.V – R documentation

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create.V

Create a V-known matrix

It creates a V-known matrix of the sampling covariance matrix using definition variables.

create.V(x, type = c("Symm", "Diag", "Full"), as.mxMatrix = TRUE)

`x`	A character vector of variable names of the sampling covariance matrix.
`type`	Either `"Symm"`, `"Diag"` or `"Full"`. Suppose the number of variables is p, the numbers of variable names for `"Symm"`, `"Diag"`, and `"Full"` are p(p-1)/2, p, and pp*, respectively. The elements are arranged in a column major.
`as.mxMatrix`	Logical. Whether to convert the output into `MxMatrix-class`.

A list of MxMatrix-class. The V-known sampling covariance matrix is computed in V.

Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>

## Not run: 
my.df <- Cor2DataFrame(Nohe15A1)

## Create known sampling variance covariance matrix
V0 <- create.V(my.df$vlabels)
V0

## End(Not run)

Meta-Analysis using Structural Equation Modeling

v1.2.5

GPL (>= 2)

Authors

Mike Cheung [aut, cre] (<https://orcid.org/0000-0003-0113-0758>)

Initial release

2020-11-29