PCA analysis and bootstraped loadings
Dear All, Thank You for the quick responses. Managed to solve my problem through: http://www.faculty.biol.ttu.edu/strauss/multivar/R/SamplePCABootstrap.R.txt or http://r.789695.n4.nabble.com/bootstrapped-eigenvector-method-following-prcomp-td877655.html Used the first one however, code is too long since everything is manually done. The suggestion of Bill would be very kind and save a lot of time in the future. Thanks William for clearing this up. Cheers Efi Zitat von William Revelle <lists at revelle.net>:
psych does not currently have bootstrapped confidence intervals for loadings. That is a reasonable request and I will try to add it, perhaps in the ?real soon now? version of 1.5.4 (almost finished), perhaps in the next release, Bill
On Apr 13, 2015, at 2:38 PM, stephen sefick <ssefick at gmail.com> wrote: Hi, Please search the mailing list archives for this, or type bootstrapped PCA R into google. Please provide a minimal self-contained example of what you are trying to solve. Please read the posting guide that is referenced at the end of every email. kind regards, Stephen On Mon, Apr 13, 2015 at 11:07 AM, Efstathia Defteraiou < Efstathia.Defteraiou at student.uibk.ac.at> wrote:
Dear All,
I am relatively new in R.
Im working with the 'psych' package and 'principal' function.
I would like to know how to generate the bootstraped conf.intervals for
loadings,
looking for sth similar to setting 'n.iter' argument for the 'fa' function.
If in 'psych' can't work and suggest me the 'boot' package please provide
specific Rscript since I don't understand the commands and arguments that
have to be used before calling the function 'boot'( what are indices? what
to define as what inside function(){})
The names Im using are included in the following code:
'newdata3.1' is my data and provided as data.frame
makingtheanalysis3.1 <-principal(newdata3.1, nfactors =3,
residuals = FALSE,
covar=FALSE,rotate="varimax",scores=TRUE)
I am sorry for not providing a specific code but my data are too large
Any Help appreciated
Cheers!
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-- Stephen Sefick ************************************************** Auburn University Biological Sciences 331 Funchess Hall Auburn, Alabama 36849 ************************************************** sas0025 at auburn.edu http://www.auburn.edu/~sas0025 ************************************************** Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis "A big computer, a complex algorithm and a long time does not equal science." -Robert Gentleman [[alternative HTML version deleted]]
______________________________________________ R-help at 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 Revelle http://personality-project.org/revelle.html Professor http://personality-project.org Department of Psychology http://www.wcas.northwestern.edu/psych/ Northwestern University http://www.northwestern.edu/ Use R for psychology http://personality-project.org/r It is 3 minutes to midnight http://www.thebulletin.org