summary.cvsvd: Summarize the Result of an SVD Cross-Validation

Description Usage Arguments Details Value Author(s) See Also

View source: R/summary.R

Description

Summarize the result of cv.svd.gabriel or cv.svd.wold.

Usage

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  ## S3 method for class 'cvsvd'
summary(object, ...)

Arguments

object

the result of a cv.svd.gabriel or cv.svd.wold computation.

...

additional arguments to summary.

Details

Print a table of the estimated prediction errors and the standard errors of the estimate. Put an asterisk (*) next to the minimum and a plus (+) next to the "one standard error rule" choice.

Value

nfolds

the number of cross-validation folds

maxrank

the maximum rank for which prediction error is estimated.

msep.mean

the average mean square error of prediction (MSEP) accross all folds for ranks 0, 1, ..., maxrank.

msep.se

the standard errors of the msep.mean estimates.

rank.best

the rank with the minimum msep.mean value.

rank.1se

the smallest rank within one standard error of the minimum msep.mean value.

Author(s)

Patrick O. Perry

See Also

cv.svd.gabriel, cv.svd.wold, plot.cvsvd print.cvsvd


bcv documentation built on May 2, 2019, 8:50 a.m.