Description Usage Arguments Details Value Author(s) References See Also Examples
Conduct's Horn's (1965) parallel analysis for determining the number of principal components
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set 

sims 

nomiss 

graph 

Horn's (1965) method of determining the number of factors to extract uses bootstrap style resampling of the original data matrix to create a sample data matrix. The eigenvalues for this data matrix are then computed and stored. This process is repeated "sims" times and the average of the resulting eigenvalues is taken to indicate the vector of eigenvalues that would be expected by random data. Horn suggested that one should extract as many factors as have eigenvalues greater than the eigenvalues expected by random data.
Prints the number of components suggested and the number of cases deleted due to missingness. If graph=T a Scree Plot is graphed.
Ryne A. Sherman
Horn, J. (1965) A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179185.
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Loading required package: psych
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Parallel analysis suggests 6 components
0 cases deleted due to missingness.
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