paran: Horn's Test of Principal Components/Factors
Version 1.5.1

paran is an implementation of Horn's technique for numerically and graphically evaluating the components or factors retained in a principle components analysis (PCA) or common factor analysis (FA). Horn's method contrasts eigenvalues produced through a PCA or FA on a number of random data sets of uncorrelated variables with the same number of variables and observations as the experimental or observational data set to produce eigenvalues for components or factors that are adjusted for the sample error-induced inflation. Components with adjusted eigenvalues greater than one are retained. paran may also be used to conduct parallel analysis following Glorfeld's (1995) suggestions to reduce the likelihood of over-retention.

Browse man pages Browse package API and functions Browse package files

AuthorAlexis Dinno <adinno@post.harvard.edu>
Date of publication2012-09-10 06:41:56
MaintainerAlexis Dinno <adinno@post.harvard.edu>
LicenseGPL-2
Version1.5.1
URL http://doyenne.com/Software/files/PA_for_PCA_vs_FA.pdf
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("paran")

Man pages

paran: Horn's Parallel Analysis of Principal Components/Factors

Functions

paran Man page

Files

MD5
R
R/paran.R
paran-Ex.R
NAMESPACE
man
man/paran.Rd
DESCRIPTION
paran documentation built on May 19, 2017, 4:48 p.m.