Full_Name: Kyle Roberts Version: 2.9.2 OS: Windows XP Submission from: (NULL) (129.119.244.130)
In 2.9.2, the Eigenvalues from a principal components analysis using "principal" in the "psych" package no longer works. It still works in 2.8 and 2.7, but no longer in 2.9.2. For example: > library(MBESS) > data(HS.data) > library(psych) > #### Subset the dataset to include only 8 variables > new.data<-subset(HS.data, select=c(deduct, numeric, problemr, arithmet, paragrap, sentence, wordc, wordm)) > pc2<-principal(new.data, nfactors=2, rotate="varimax") > pc2 Principal Components Analysis Call: principal(r = new.data, nfactors = 2, rotate = "varimax") item PC1 PC2 h2 u2 deduct 1 0.68 0.52 0.48 numeric 2 0.82 0.69 0.31 problemr 3 0.45 0.54 0.49 0.51 arithmet 4 0.67 0.54 0.46 paragrap 5 0.84 0.76 0.24 sentence 6 0.89 0.83 0.17 wordc 7 0.76 0.65 0.35 wordm 8 0.81 0.30 0.75 0.25 PC1 PC2 SS loadings 3.09 2.13 Proportion Var 0.39 0.27 Cumulative Var 0.39 0.65 Test of the hypothesis that 2 factors are sufficient. The degrees of freedom for the model is 13 and the objective function was 0.36 The number of observations was 301 with Chi Square = 104.87 with prob < 1.9e-16 Fit based upon off diagonal values = 0.97 Measures of factor score adequacy PC1 PC2 Correlation of scores with factors 1 1 Multiple R square of scores with factors 1 1 Minimum correlation of factor score estimates 1 1 > > ## Eigenvalues > pc2$values NULL #################### It still works in the principal axis factoring package in "psych", but no longer with "principal". ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel