pa: Parallel analysis

In Rnest: Next Eigenvalue Sufficiency Test

Parallel analysis

Description

Parallel analysis

Usage

pa(
  data = NULL,
  n = NULL,
  nv = NULL,
  nreps = 1000,
  alpha = 0.05,
  crit = NULL,
  ...
)

Arguments

data	a data.frame.
n	the number of subjects.
nv	the number of variables.
nreps	the number of replications.
alpha	type I error rate.
crit	critical values to compare the eigenvalues.
...	other arguments

Value

nfactors (if data is supplied) and sampled eigenvalues

References

Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179–185. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/BF02289447")}

Examples

pa(ex_2factors, n = 42)
pa(n = 10, nv = 2, nreps = 100)

Rnest documentation built on April 3, 2025, 5:31 p.m.