metaSEM (version 1.3.1)

readData: Read External Correlation/Covariance Matrices

Description

It reads full/lower triangle/stacked vectors of correlation/covariance data into a list of correlation/covariance matrices.

Usage

readFullMat(file, ...)
readStackVec(file, ...)
readLowTriMat(file, no.var, ...)

Value

A list of correlation/covariance matrices.

Arguments

file

File name of the data.

no.var

The number of variables in the data.

...

Further arguments to be passed to scan for readLowTriMat and to read.table for readFullMat and readStackVec.

Author

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

Examples

Run this code
if (FALSE) {
## Write two full correlation matrices into a file named "fullmat.dat".
## x2 is missing in the second matrix.
## The content of "fullmat.dat" is
# 1.0 0.3 0.4
# 0.3 1.0 0.5
# 0.4 0.5 1.0
# 1.0 NA 0.4
# NA NA NA
# 0.4 NA 1.0

## cat("1.0 0.3 0.4\n0.3 1.0 0.5\n0.4 0.5 1.0
## 1.0 NA 0.4\nNA NA NA\n0.4 NA 1.0",
## file="fullmat.dat", sep="")

## Read the correlation matrices
## my.full <- readFullMat("fullmat.dat")

## my.full
# $`1`
#     x1  x2  x3
# x1 1.0 0.3 0.4
# x2 0.3 1.0 0.5
# x3 0.4 0.5 1.0
#
# $`2`
#     x1 x2  x3
# x1 1.0 NA 0.4
# x2  NA NA  NA
# x3 0.4 NA 1.0

## Write two lower triangle correlation matrices into a file named "lowertriangle.dat".
## x2 is missing in the second matrix.
## The content of "lowertriangle.dat" is
# 1.0 
# 0.3 1.0 
# 0.4 0.5 1.0
# 1.0
# NA NA 
# 0.4 NA 1.0
## cat("1.0\n0.3 1.0\n0.4 0.5 1.0\n1.0\nNA NA\n0.4 NA 1.0",
##     file="lowertriangle.dat", sep="")

## Read the lower triangle correlation matrices
## my.lowertri <- readLowTriMat(file = "lowertriangle.dat", no.var = 3)

## my.lowertri
# $`1`
#     x1  x2  x3
# x1 1.0 0.3 0.4
# x2 0.3 1.0 0.5
# x3 0.4 0.5 1.0
#
# $`2`
#     x1 x2  x3
# x1 1.0 NA 0.4
# x2  NA NA  NA
# x3 0.4 NA 1.0

## Write two vectors of correlation coefficients based on
##  column major into a file named "stackvec.dat".
## x2 is missing in the second matrix.
## The content of "stackvec.dat" is
# 1.0 0.3 0.4 1.0 0.5 1.0
# 1.0 NA 0.4 NA NA 1.0
## cat("1.0 0.3 0.4 1.0 0.5 1.0\n1.0 NA 0.4 NA NA 1.0\n",
##     file="stackvec.dat", sep="")

## my.vec <- readStackVec("stackvec.dat")

## my.vec
# $`1`
#     x1  x2  x3
# x1 1.0 0.3 0.4
# x2 0.3 1.0 0.5
# x3 0.4 0.5 1.0
#
# $`2`
#    x1 x2  x3
# x1 1.0 NA 0.4
# x2  NA NA  NA
# x3 0.4 NA 1.0
}

Run the code above in your browser using DataLab