HornParallelAnalysis(data, K)
Function HornParallelAnalysis.m simulates a distribution of eigenvalues by re-sampling a set of random variables of the real data size from a normal distribution N(0,1), and compares the eigenvalues of the real data and the distribution of eigenvalues from simulation; then the criterion of retaining basis factors is to keep those who are bigger than 95% of simulated distribution of eigenvalues. This is to implement the parallel analysis approach proposed by Horn (1965) and developed by Ledesma et al. (2007). Please read instruction within the function m-file for more information about input and output arguments.
Zitieren als
Lanya (2024). HornParallelAnalysis(data, K) (https://www.mathworks.com/matlabcentral/fileexchange/57859-hornparallelanalysis-data-k), MATLAB Central File Exchange. Abgerufen .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
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Version | Veröffentlicht | Versionshinweise | |
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1.0.0.0 |