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paran  

Horn's Test of Principal Components/Factors
View on CRAN: Click here


Download and install paran package within the R console
Install from CRAN:
install.packages("paran")

Install from Github:
library("remotes")
install_github("cran/paran")

Install by package version:
library("remotes")
install_version("paran", "1.5.3")



Attach the package and use:
library("paran")
Maintained by
Alexis Dinno
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-08-12
Latest Update: 2018-10-14
Description:
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.
How to cite:
Alexis Dinno (2007). paran: Horn's Test of Principal Components/Factors. R package version 1.5.3, https://cran.r-project.org/web/packages/paran. Accessed 18 Feb. 2025.
Previous versions and publish date:
1.2.4 (2007-08-12 18:02), 1.2.5 (2007-08-25 18:49), 1.2.6-1 (2007-10-04 21:28), 1.2.6 (2007-09-07 08:49), 1.3.1 (2008-03-03 15:47), 1.3.2 (2008-03-07 09:33), 1.3.5 (2008-04-09 09:11), 1.3.6 (2008-05-02 11:01), 1.4.0 (2008-09-28 21:31), 1.4.1 (2008-10-15 08:51), 1.4.2 (2009-10-13 19:37), 1.4.3 (2010-06-05 07:58), 1.5.1 (2012-09-10 08:41), 1.5.2 (2018-10-15 01:30)
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Functions, R codes and Examples using the paran R package
Some associated functions: paran . 
Some associated R codes: paran.R .  Full paran package functions and examples
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