coef.PA: Eigenvalue and percentile extraction of a '"PA"' object.

In caariasr/pcaPA: Parallel Analysis for Ordinal and Numeric Data using Polychoric and Pearson Correlations with S3 Classes

Description

coef method for objects of class "PA", produced by PA.

Usage

## S3 method for class 'PA'
coef(object, ...)

Arguments

object	an object of class "PA"
...	not used

Value

An object of class "matrix" with the observed eigenvalues and the percentiles.

Author(s)

Carlos A. Arias [e-mail] and Victor H. Cervantes [e-mail]

See Also

PA, print.PA, Check.PA, CountEigen.PA, plot.PA, quantile.PA

Examples

# # 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)
binaryRaschPAEigenValues <- coef(binaryRaschPA)  # Save the matrix of observed
                                                 # eigenvalues and estimated
                                                 # eigenvalue percentiles
binaryRaschPAEigenValues

caariasr/pcaPA documentation built on May 13, 2019, 10:37 a.m.