Description Usage Arguments Value Author(s) See Also Examples

Counts the number of observed eigenvalues that exceed the given percentiles.

1 | ```
CountEigen.PA(PA, percentiles = NULL)
``` |

`PA` |
an object of class |

`percentiles` |
the percentiles that ought to be plotted, defaults to those in the object. |

A named numeric vector indicating the number of eigenvalues that are greater than the eigenvalues distribution percentiles under independence.

Carlos A. Arias [email protected] and Victor H. Cervantes [email protected]

`PA`

, `print.PA`

, `coef.PA`

, `Check.PA`

, `plot.PA`

, `quantile.PA`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
# # Run Parallel Analysis for binary data conforming to the Rasch model
data(simRaschData)
binaryRaschPA <- PA(simRaschData, percentiles = c(0.95, 0.99), nReplicates = 200,
type = "binary", algorithm = "polychoric")
print(binaryRaschPA)
# # Number of retained factors
nComponents <- CountEigen.PA(binaryRaschPA, percentiles = .99)
nComponents["p99"]
# # Run Parallel Analysis for binary data conforming to the 2PL model
data(sim2plData)
binary2plPA <- PA(sim2plData, percentiles = c(0.95, 0.99), nReplicates = 200,
type = "binary", algorithm = "polychoric")
print(binary2plPA)
# # Number of retained factors
nComponents <- CountEigen.PA(binary2plPA, percentiles = .99)
nComponents["p99"]
``` |

pcaPA documentation built on May 29, 2017, 6:53 p.m.

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