print.PA: Print method for PA objects.

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

Description

print method for objects of class "PA". Prints the observed eigenvalues and the percentiles as a matrix.

Usage

## S3 method for class 'PA'
print(x, digits = max(3, getOption("digits") - 3), observed = "Observed",
      percentile = "th percentile", position = "after", sep = "", ...)

Arguments

x	an object of class "PA".
digits	number of digits to print.
observed	Label for the observed data, default is "observed"
percentile	Graph title instead of default.
position	Position for the percentile label. "after" will position the label after the percentile number. "before" will position the label before the percentile number
sep	Character string to separate the label from the percentiles number.
...	Not used.

Value

NULL

Author(s)

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

See Also

PA, plot.PA, Check.PA, CountEigen.PA, coef.PA, quantile.PA

Examples

# # Run Parallel Analysis for binary data conforming to the Rasch model
# # using the polycor package
data(simRaschData)
binaryRaschPA <- PA(simRaschData, percentiles = c(0.95, 0.99), nReplicates = 200,
                    type = "binary", algorithm = "polychoric")
print(binaryRaschPA)

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