cvtype.image {CVThresh}R Documentation

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)

[Package CVThresh version 1.0.5 Index]