Learn R Programming

CVThresh (version 1.1.2)

cvtype.image: 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

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

Details

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

See Also

cvtype, cvwavelet, cvimpute.by.wavelet,

cvwavelet.after.impute, cvwavelet.image,

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

Examples

Run this code
# NOT RUN {
# 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)
# }

Run the code above in your browser using DataLab