reflect_fa {lazy.tools}

R Documentation

Reflect the signs of the columns of the factor pattern matrix so that the number of positive loadings is larger than the negative ones.

Description

Reflect the signs of the columns of the factor pattern matrix so that the number of positive loadings is larger than the negative ones.

Usage

reflect_fa(A, sortcols = 0, unclass = 0)

Arguments

A	Factor Pattern matrix or an object with $loadings.
sortcols	= 1 to sort factors (columns of A) according to factor contributions.
unclass	= 1 to unclass the result
print	= 1 to print the result

Details

First, if sortcols == 1, the columns of A are reordered according to the magnitude of diag(t(A)%*%A).
Then, for each column of A, the sign will be reflected if the number of negative loadings is greater than the positive ones.

Value

A list of
loadings = reordered loadings matrix
col_order = sort order of the cols
sign = a vector indicating if the signs were preserved or not

Examples

set.seed(1701)
n <- 20; ndim <- 4
A0 <- matrix(runif(n*ndim),n,ndim)
dimnames(A0)=list( paste("v",1:n,sep=""),paste("f",1:ndim,sep=""))
A0v <- varimax(A0)$loadings
A0v <- A0v*matrix(sample(c(-1,1,1),n*ndim,replace=TRUE),n,ndim)
A0v[,3:4] <- -A0v[,3:4]

A0vs <- reflect_fa(A0v)$loadings
Print(A0v,A0vs, fmt="6.3")

A0vsc <- reflect_fa(A0v, sortcol=1)$loadings
Print(A0v,A0vsc, fmt="6.3")

# attributes
print(reflect_fa(A0v)$loadings)
print(reflect_fa(A0v, unclass=1)$loadings)

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