Re: [R] Difference in cummulative variance depending on print command
Dear Rena, As Peter points out, it is better to ask the maintainer of the program for detailed questions. As Peter correctly surmised, print.psych (which is used to print the output from the fa function), knows that you have an oblique solution and is reporting the amount of variance associated with the oblique factors (taking into account that they are correlated). The default print method assumes orthogonal factors. If you compare the total amount of variance accounted for (cumulative Var) for all of the factors (.59) , this will match that found using orthogonal rotations, while the default print method of the loadings does not. Bill On Dec 6, 2014, at 10:48 AM, peter dalgaard pda...@gmail.com wrote: Firstly, there is no fa() function in base R. There is one in package psych(), which has a maintainer, etc. I guess that it is because fa() does a non-orthogonal factor rotation and its print method knows about it, whereas the default print method for loadings assumes that rotations are orthogonal. - Peter D. On 05 Dec 2014, at 13:28 , Rena Büsch rena.bue...@gmx.de wrote: Hello, I am trying a factor analysis via R. When running the pricipal axis analysis I do get different tables depending on the print command. This is my factor analysis: fa.pa_cor_3_2- fa(ItemsCor_4, nfactors=3, fm=pa,rotate=oblimin) To get the h2 I did the following print command: print (fa.pa_cor_3_2, digits=2, cut=.3, sort=T) To just get the loadings I did the following print command: print (fa.pa_cor_3_2$loadings, digits=2, cutoff=.3, sort=T) The result of the first print is the following Eigenvalue-cumulative variance table: PA1 PA2 PA3 SS loadings20.59 18.16 5.03 Proportion Var 0.28 0.25 0.07 Cumulative Var 0.28 0.52 0.59 With the second print command I get a different table: PA1 PA2 PA3 SS loadings17.63 15.12 3.14 Proportion Var 0.24 0.20 0.04 Cumulative Var 0.24 0.44 0.49 The loadings are the same for both commands. There is just this slight difference in the cumulative Var. Does anyone have an idea of a cause for the difference? What can I report? Did I post enough information to fully understand my problem? Thanks in Advance Rena __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd@cbs.dk Priv: pda...@gmail.com __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. William Revellehttp://personality-project.org/revelle.html Professor http://personality-project.org Department of Psychology http://www.wcas.northwestern.edu/psych/ Northwestern Universityhttp://www.northwestern.edu/ Use R for psychology http://personality-project.org/r It is 5 minutes to midnighthttp://www.thebulletin.org __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Difference in cummulative variance depending on print command
Firstly, there is no fa() function in base R. There is one in package psych(), which has a maintainer, etc. I guess that it is because fa() does a non-orthogonal factor rotation and its print method knows about it, whereas the default print method for loadings assumes that rotations are orthogonal. - Peter D. On 05 Dec 2014, at 13:28 , Rena Büsch rena.bue...@gmx.de wrote: Hello, I am trying a factor analysis via R. When running the pricipal axis analysis I do get different tables depending on the print command. This is my factor analysis: fa.pa_cor_3_2- fa(ItemsCor_4, nfactors=3, fm=pa,rotate=oblimin) To get the h2 I did the following print command: print (fa.pa_cor_3_2, digits=2, cut=.3, sort=T) To just get the loadings I did the following print command: print (fa.pa_cor_3_2$loadings, digits=2, cutoff=.3, sort=T) The result of the first print is the following Eigenvalue-cumulative variance table: PA1 PA2 PA3 SS loadings20.59 18.16 5.03 Proportion Var 0.28 0.25 0.07 Cumulative Var 0.28 0.52 0.59 With the second print command I get a different table: PA1 PA2 PA3 SS loadings17.63 15.12 3.14 Proportion Var 0.24 0.20 0.04 Cumulative Var 0.24 0.44 0.49 The loadings are the same for both commands. There is just this slight difference in the cumulative Var. Does anyone have an idea of a cause for the difference? What can I report? Did I post enough information to fully understand my problem? Thanks in Advance Rena __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd@cbs.dk Priv: pda...@gmail.com __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Difference in cummulative variance depending on print command
Hello, I am trying a factor analysis via R. When running the pricipal axis analysis I do get different tables depending on the print command. This is my factor analysis: fa.pa_cor_3_2- fa(ItemsCor_4, nfactors=3, fm=pa,rotate=oblimin) To get the h2 I did the following print command: print (fa.pa_cor_3_2, digits=2, cut=.3, sort=T) To just get the loadings I did the following print command: print (fa.pa_cor_3_2$loadings, digits=2, cutoff=.3, sort=T) The result of the first print is the following Eigenvalue-cumulative variance table: PA1 PA2 PA3 SS loadings20.59 18.16 5.03 Proportion Var 0.28 0.25 0.07 Cumulative Var 0.28 0.52 0.59 With the second print command I get a different table: PA1 PA2 PA3 SS loadings17.63 15.12 3.14 Proportion Var 0.24 0.20 0.04 Cumulative Var 0.24 0.44 0.49 The loadings are the same for both commands. There is just this slight difference in the cumulative Var. Does anyone have an idea of a cause for the difference? What can I report? Did I post enough information to fully understand my problem? Thanks in Advance Rena __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
