View source: R/summary_FRBpca.R
| summary.FRBpca | R Documentation | 
Summary method for objects of class FRBpca, and print method of the summary object.
## S3 method for class 'FRBpca'
summary(object, confmethod = c("BCA", "basic", "both"), digits = 3, ...)
## S3 method for class 'summary.FRBpca'
print(x, ...)
| object |  an R object of class  | 
| confmethod | which kind of bootstrap confidence intervals to be displayed: 'BCA'= bias corrected and accelerated method, 'basic'= basic bootstrap method, 'both'= both kinds of confidence intervals | 
| digits | number of digits for printing (default is 3) | 
| x |  an R object of class  | 
| ... | potentially more arguments to be passed to methods | 
The print method displays mostly the components of the summary object as listed in the Value section. 
summary returns an object of class summary.FRBpca, which contains the following components:
| eigvals | eigenvalues of the shape estimate (variances of the principal components) with confidence limits | 
| eigvecs | eigenvectors of the shape estimate (loadings of the principal components) | 
| avgangle | bootstrap estimates of average angles between true and estimated eigenvectors | 
| pvars | cumulative percentage of variance explained by first principal components with confidence limits | 
| method | PCA method that was used | 
| digits | number of digits for printing | 
Gert Willems, Ella Roelant and Stefan Van Aelst
S. Van Aelst and G. Willems (2013), Fast and robust bootstrap for multivariate inference: The R package FRB. Journal of Statistical Software, 53(3), 1–32. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v053.i03")}.
FRBpcaS, FRBpcaMM,  print.FRBpca, plot.FRBpca 
    data(ForgedBankNotes)
    
    MMpcares <- FRBpcaMM(ForgedBankNotes, R=999, conf=0.95)
    summary(MMpcares) # -> print.summary.FRBpca() method
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