| summary.cvsvd {bcv} | R Documentation |
Summarize the Result of an SVD Cross-Validation
Description
Summarize the result of cv.svd.gabriel or
cv.svd.wold.
Usage
## S3 method for class 'cvsvd'
summary(object, ...)
Arguments
object |
the result of a |
... |
additional arguments to |
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) across all folds for
ranks 0, 1, ..., |
msep.se |
the standard errors of the
|
rank.best |
the rank with the minimum
|
rank.1se |
the smallest rank within one
standard error of the minimum |
Author(s)
Patrick O. Perry
See Also
cv.svd.gabriel, cv.svd.wold,
plot.cvsvd print.cvsvd