cvtype {CVThresh}

Generating test dataset index for cross-validation

Description

This function generates test dataset index for cross-validation.

Usage

cvtype(n, cv.bsize=1, cv.kfold, cv.random=TRUE)

Arguments

n

the number of observation

cv.bsize

block size of cross-validation

cv.kfold

the number of fold of cross-validation

cv.random

whether or not random cross-validation scheme should be used. Set cv.random=TRUE for random cross-validation scheme

Details

This function provides index of test dataset according to various cross-validation scheme. One may construct K test datasets in a way that each testset consists of blocks of b consecutive data. Set cv.bsize = b for this. To select each fold at random, set cv.random = TRUE.

Value

matrix of which row is test dataset index for cross-validation.

See Also

cvwavelet, cvimpute.by.wavelet, cvwavelet.after.impute.

Examples

# Traditional 4-fold cross-validation for 100 observations
cvtype(n=100, cv.bsize=1, cv.kfold=4, cv.random=FALSE)
# Random 4-fold cross-validation with block size 2 for 100 observations
cvtype(n=100, cv.bsize=2, cv.kfold=4, cv.random=TRUE)