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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.

copied from cf-staging / r-paran
Type Size Name Uploaded Downloads Labels
conda 46.3 kB | noarch/r-paran-1.5.3-r44hc72bb7e_1.conda  8 months and 3 days ago 593 main
conda 45.8 kB | noarch/r-paran-1.5.3-r43hc72bb7e_1.conda  8 months and 3 days ago 783 main
conda 46.1 kB | noarch/r-paran-1.5.3-r42hc72bb7e_0.conda  10 months and 27 days ago 806 main
conda 46.3 kB | noarch/r-paran-1.5.3-r43hc72bb7e_0.conda  10 months and 27 days ago 869 main
conda 45.4 kB | noarch/r-paran-1.5.2-r43hc72bb7e_0.conda  1 year and 3 months ago 806 main
conda 45.1 kB | noarch/r-paran-1.5.2-r42hc72bb7e_0.conda  1 year and 3 months ago 803 main

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