[R] PCA analysis and bootstraped loadings

[William Revelle]

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!
>> 
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>> PLEASE do read the posting guide http://www.R-project.org/
>> posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>> 
> 
> 
> 
> -- 
> Stephen Sefick
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> 
> 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
> 
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> 
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> 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/
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