Check.PA: Verifies that an object belongs to the '"PA"' class.

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

Description

Checks if an object is of class "PA" (Parallel analysis).

Usage

Check.PA(PA)

Arguments

PA	An object to be checked for class "PA".

Value

Returns TRUE if input object if of class "PA" and has all the necessary components. Returns FALSE otherwise.

Author(s)

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

See Also

PA, print.PA, coef.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)

# # Check if binaryRaschPA is a PA object
Check.PA(binaryRaschPA)  # Should return TRUE
Check.PA(simRaschData)  # Should return FALSE

# # 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)

# # Check if binary2plPA is a PA object
Check.PA(binary2plPA)  # Should return TRUE
Check.PA(simRaschData)  # Should return FALSE

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