OpenMx (version 2.3.1)

omxSelectRowsAndCols: Filter rows and columns from an mxMatrix

Description

This function filters rows and columns from a matrix using a single row or column R matrix as a selector.

Usage

omxSelectRowsAndCols(x, selector)
omxSelectRows(x, selector)
omxSelectCols(x, selector)

Arguments

x

the matrix to be filtered

selector

A single row or single column R matrix indicating which values should be filtered from the mxMatrix.

Value

• Returns a new matrix with the filtered data.

Details

omxSelectRowsAndCols, omxSelectRows, and omxSelectCols returns the filtered entries in a target matrix specified by a single row or single column selector matrix. Each entry in the selector matrix is treated as a logical data indicating if the corresponding entry in the target matrix should be excluded (0 or FALSE) or included (not 0 or TRUE). Typically the function is used to filter data from a target matrix using an existence vector which specifies what data entries are missing. This can be seen in the demo: RowObjectiveFIMLBivariateSaturated.

References

The function is most often used when filtering data for missingness. This can be seen in the demo: RowObjectiveFIMLBivariateSaturated. The OpenMx User's guide can be found at http://openmx.psyc.virginia.edu/documentation. The omxSelect* functions share some similarity to the Extract function in the R programming language.

Examples

loadings <- c(1, -0.625, 0.1953125, 1, -0.375, 0.0703125, 1, -0.375, 0.0703125)
loadings <- matrix(loadings, 3, 3, byrow= TRUE)
existenceList <- c(1, 0, 1)
existenceList <- matrix(existenceList, 1, 3, byrow= TRUE)
rowsAndCols <- omxSelectRowsAndCols(loadings, existenceList)
rows <- omxSelectRows(loadings, existenceList)
cols <- omxSelectCols(loadings, existenceList)