Hi everyone,
I am trying to get the factor score for each individual case from a principal
component analysis, as I understand, both princomp() and prcomp() can not
produce this factor score, the principal() in psych package has this option:
scores=T, but after running the code, I could not figure out how to show the
factor score results. Here is my code, could anyone give me some advice please?
Thank you very much.
> pc <- principal(a,rotate="varimax",scores=TRUE)
> pc
Principal Components Analysis
Call: principal(r = a, rotate = "varimax", scores = TRUE)
Standardized loadings (pattern matrix) based upon correlation matrix
PC1 h2 u2
V1 0.80 6.4e-01 0.36
V2 0.03 7.9e-04 1.00
V3 -0.92 8.4e-01 0.16
V4 0.00 2.0e-06 1.00
V5 0.54 2.9e-01 0.71
PC1
SS loadings 1.77
Proportion Var 0.35
Test of the hypothesis that 1 component is sufficient.
The degrees of freedom for the null model are 10 and the objective function
was 0.87
The degrees of freedom for the model are 5 and the objective function was
0.39
The number of observations was 20 with Chi Square = 6.14 with prob < 0.29
Fit based upon off diagonal values = 0.61
> summary(pc)
Factor analysis with Call: principal(r = a, rotate = "varimax", scores = TRUE)
Test of the hypothesis that 1 factor is sufficient.
The degrees of freedom for the model is 5 and the objective function was 0.39
The number of observations was 20 with Chi Square = 6.14 with prob < 0.29
Best regards,
ya
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