Factor analysis

Iterated principal factor method (principal axis factoring) without data. in matlab

The following Matlab project contains the source code and Matlab examples used for iterated principal factor method (principal axis factoring) without data. . This m-file deals with the iterated principal factor method (principal axis factoring) thru the R-correlation matrix (without the matrix of data), the latent root criterion, iteration convergence criterion, and uses the varimax factor rotation.

Iterated principal factor method (principal axis factoring). in matlab

The following Matlab project contains the source code and Matlab examples used for iterated principal factor method (principal axis factoring). . This m-file deals with the iterated principal factor method (principal axis factoring) thru the complete data matrix, the latent root criterion, iteration convergence criterion, and uses the varimax factor rotation.

Factor analysis by the principal components method without data. in matlab

The following Matlab project contains the source code and Matlab examples used for factor analysis by the principal components method without data. . This m-file deals with the principal component solution of the factor model thru the R-correlation matrix (without the matrix of data; one can also input a covariance matrix), the latent root criterion, and uses the varimax factor rotation.
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