| summary.FRBpca {FRB} | 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. URL: http://www.jstatsoft.org/v53/i03/.
FRBpcaS, FRBpcaMM, print.FRBpca, plot.FRBpca
data(ForgedBankNotes) MMpcares <- FRBpcaMM(ForgedBankNotes, R=999, conf=0.95) summary(MMpcares) # -> print.summary.FRBpca() method