A set of functions to perform parallel analysis for principal components analysis intended mainly for large data sets. It performs a parallel analysis of continuous, ordered (including dichotomous/binary as a special case) or mixed type of data associated with a principal components analysis. Polychoric correlations among ordered variables, Pearson correlations among continuous variables and polyserial correlation between mixed type variables (one ordered and one continuous) are used. Whenever the use of polyserial or polychoric correlations yields a non positive definite correlation matrix, the resulting matrix is transformed into the nearest positive definite matrix. This is a continued work based on a previous version developed at the Colombian Institute for the evaluation of education  ICFES.
Author  Carlos A. Arias <caariasr22@gmail.com> and Victor H. Cervantes <Herulor@gmail.com>. 
Date of publication  20160916 18:15:52 
Maintainer  Carlos A. Arias <caariasr22@gmail.com> 
License  GPL (>= 2) 
Version  2.0.2 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:



All man pages Function index File listing
Man pages  

CalculatePABinary: Parallel Analysis for Dichotomous Data.  
CalculatePAContinuous: Parallel Analysis for continuous data.  
CalculatePAMixed: Parallel Analysis for numeric and ordered mixed data.  
CalculatePAOrdered: Parallel Analysis for Ordered Data.  
Check.PA: Verifies that an object belongs to the '"PA"' class.  
coef.PA: Eigenvalue and percentile extraction of a '"PA"' object.  
CountEigen.PA: Number of observed eigenvalues that exceed a given set of...  
mixedScience: Simulated data from a normal distribution added to the...  
PA: General function to perform parallel analysis of continuous,...  
plot.PA: Plot method for PA objects.  
print.PA: Print method for PA objects.  
quantile.PA: Generate new quantiles based on given percentiles for a PA...  
sim2plData: Simulated data conforming to the 2pl model.  
simRaschData: Simulated data conforming to the Rasch Model. 
Functions  

CalculatePABinary  Man page Source code 
CalculatePAContinuous  Man page Source code 
CalculatePAMixed  Man page Source code 
CalculatePAOrdered  Man page Source code 
Check.PA  Man page Source code 
CountEigen.PA  Man page Source code 
PA  Man page Source code 
coef.PA  Man page Source code 
mixedScience  Man page 
plot.PA  Man page Source code 
print.PA  Man page Source code 
quantile.PA  Man page Source code 
sim2plData  Man page 
simRaschData  Man page 
Files  

src
 
src/Makevars
 
src/Cpolychoric.cpp
 
src/Makevars.win
 
NAMESPACE
 
data
 
data/mixedScience.rda
 
data/sim2plData.rda
 
data/simRaschData.rda
 
R
 
R/CountEigenPA.R  
R/coef.PA.R  
R/quantile.PA.R  
R/PA.R  
R/print.PA.R  
R/CalculatePAMixed.R  
R/CalculatePABinary.R  
R/CalculatePAContinuous.R  
R/CalculatePAOrdered.R  
R/Check.PA.R  
R/plot.PA.R  
README.md  
MD5
 
DESCRIPTION
 
man
 
man/CalculatePAOrdered.Rd  
man/quantile.PA.Rd  
man/PA.Rd  
man/CountEigen.PA.Rd  
man/coef.PA.Rd  
man/simRaschData.Rd  
man/CalculatePAContinuous.Rd  
man/sim2plData.Rd  
man/Check.PA.Rd  
man/CalculatePAMixed.Rd  
man/plot.PA.Rd  
man/mixedScience.Rd  
man/CalculatePABinary.Rd  
man/print.PA.Rd 
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs in the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.