PCA analysis and bootstraped loadings
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]]