Hi,
I want to do cluster analysis with large data table (163 variables with 1500 test persons). By PCA I found that about 20 significant components explain 75% of the variance. I also found that rotation clarified the loading matrix significantly, it may even be possible to use the comonents as quasi-factors. Then, however, I should use the rotated score matrix for further analysis, but I don't know how to calculate it. Here is a short R-program that explains what I hve been doing:
library(psych) ## load required routines
library(readxl)
Data
Hi Engelbert Buxbaum ;
Factor 10.8 program can calculate rotated scores. It is simple to use and free like R, too.
The link is:
http://psico.fcep.urv.es/utilitats/factor/soft/factor.10.8.04.WIN64.zip
Engelbert,
Briefly, the principal function of the psych package should be able to do this. The syntax should look like the following:
principal(Data, nfactors = 20, rotate = "varimax", scores = TRUE)
See the following document for more information:
https://cran.r-project.org/web/packages/psych/psych.pdf
@Keston: I know about the principal function (which can do everything in a single command, from calculation of the covariance matrix over eigenanalysis to rotation), but I wanted to know how this function works. I now understand everything (well, kind of), except the last step: calculation of the rotated scores. @Abdullah: Nice program, but closed source just like SPSS or its free companion, PSPP. Will do the job, but doesn't help me to understand how its done.
Engelbert Buxbaum
To understand ration of calculation of factor score, you can use the article written by Distefano, Zhu & Mîndrilă (2009). But this article doesn't contain fomulas. But Hershberg (2005) does. I think it will help you.
Hershberger, S. L. (2005). Factor score estimation. In B. S. Everitt & D. C. Howell (Eds.), Encyclopedia of Statistics in Behavioral Science (Vol. 2, pp. 636–644). Chichester, UK, UK: John Wiley & Sons, Ltd. https://doi.org/10.1002/0470013192.bsa726
Distefano, C., Zhu, M., & Mîndrilă, D. (2009). Understanding and using factor scores: Considerations for the applied researcher. Practical Assessment, Research & Evaluation, 14(20), 1–11.
- Badges
- Science topic
- Similar topics
- Indexes