Broken-stick method for detection of significant factors
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.
brStick(eigs)
eigs |
numeric. Vector of eigenvalues |
Returns the number of significant factors.
Jackson, Donald A. "Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches." Ecology 74.8 (1993): 2204-2214.
mod1 <- enfa(x = climdat.hist, s.dat = ABPR, field = "CODE") brStick(s.factor(mod1))
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