CENFA (version 1.1.1)

brStick: Broken-stick method for detection of significant factors

Description

This function provides a simple way to determine the number of significant factors in a factor analysis. This is done by comparing the eigenvalues of each factor with those expected from a broken-stick distribution.

Usage

brStick(eigs)

Arguments

eigs

numeric. Vector of eigenvalues

Value

Returns the number of significant factors.

References

Jackson, Donald A. "Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches." Ecology 74.8 (1993): 2204-2214.

Examples

# NOT RUN {
mod1 <- enfa(x = climdat.hist, s.dat = ABPR, field = "CODE")
brStick(s.factor(mod1))

# }