pa: Parallel analysis

In Rnest: Next Eigenvalue Sufficiency Test

Parallel analysis

Description

Parallel analysis

Usage

pa(
  data = NULL,
  n = NULL,
  p = NULL,
  nrep = 1000,
  alpha = 0.05,
  crit = NULL,
  ...
)

Arguments

data	data.frame.
n	number of subjects.
p	number of variables.
nrep	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

Examples

pa(ex_2factors, n = 42)
E <- pa(n = 10, p = 2, nrep = 5)

Rnest documentation built on May 29, 2024, 2:25 a.m.