quantile.PA: Generate new quantiles based on given percentiles for a PA...

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

Description

Calculates arbitrary quantiles from the simulatedEigenValues in a "PA" object.

Usage

## S3 method for class 'PA'
quantile(x, percentiles = .99, ...)

Arguments

x	An object of class "PA".
percentiles	The new percentiles to replace the ones found in the "PA" object.
...	Not used.

Value

An object of class "PA" with the percentiles data.frame replaced by those from the percentiles argument.

Author(s)

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

See Also

PA, print.PA, Check.PA, CountEigen.PA, coef.PA, plot.PA

Examples

# # Using the polychoric C++ function
data(Science)
Science[, ] <- lapply(Science, as.ordered)
orderedPA   <- PA(Science, percentiles = c(0.90, 0.99), nReplicates = 200,
                  type = "ordered", algorithm = "polychoric")

print(orderedPA)  # Shows the eigenvalues as a matrix
head(orderedPA$simulatedEigenValues)  # Shows the first six iterations

# # Get different quantiles from a PA object
quantile(orderedPA, percentiles = c(0.1, 0.2, 0.5))

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