Package ‘ random . polychor . pa ’ April
نویسنده
چکیده
April 28, 2010 Type Package Title A Parallel Analysis With Polychoric Correlation Matrices Version 1.1 Date 2010-04-07 Author Fabio Presaghi & Marta Desimoni Maintainer Fabio Presaghi Description The Function performs a parallel analysis using simulated polychoric correlation matrices. The nth-percentile of the eigenvalues distribution obtained from both the randomly generated and the real data polychoric correlation matrices is returned. A plot comparing the two types of eigenvalues (real and simulated) will help determine the number of real eigenvalues that outperform random data. The function is based on the idea that if real data are non-normal and the polychoric correlation matrix is needed to perform a Factor Analysis, then the Parallel Analysis method used to choose a non-random number of factors should also be based on randomly generated polychoric correlation matrices and not on Pearson correlation matrices. Depends psych, nFactors LazyLoad yes LazyData yes License GPL (>= 2) Encoding latin1 Repository CRAN Date/Publication 2010-04-28 16:49:52
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Package ‘ random . polychor . pa ’
Description The Function performs a parallel analysis using simulated polychoric correlation matrices. The nth-percentile of the eigenvalues distribution obtained from both the randomly generated and the real data polychoric correlation matrices is returned. A plot comparing the two types of eigenvalues (real and simulated) will help determine the number of real eigenvalues that outperform rand...
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