cvtype.image: Generating test dataset index of two-dimensional data for...

In CVThresh: Level-Dependent Cross-Validation Thresholding

Generating test dataset index of two-dimensional data for cross-validation

Description

This function generates test dataset index of two-dimensional data for cross-validation

Usage

cvtype.image(n, cv.bsize=c(1,1), cv.kfold)

Arguments

n	the size of image
cv.bsize	two-dimensional block size of cross-validation
cv.kfold	the number of fold of cross-validation

Details

This function provides indexes of two-dimensional cross-validation scheme. Only random cross-validation scheme is provided.

Value

Two matrix representing test dataset index of each dimension for cross-validation.

cv.index1	each row is test dataset index of one dimension
cv.index2	each row is test dataset index of the other dimension

See Also

cvtype, cvwavelet, cvimpute.by.wavelet,

cvwavelet.after.impute, cvwavelet.image,

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

Examples

# Two-dimensional 4-fold cross-validation with block size 2*2
out <- cvtype.image(n=c(256,256), cv.bsize=c(2,2), cv.kfold=4)

CVThresh documentation built on May 2, 2022, 9:09 a.m.