animation (version 2.7)

kfcv: Sample sizes for k-fold cross-validation

Description

Compute sample sizes for $k$-fold cross-validation.

Usage

kfcv(k, N)

Arguments

k

number of groups.

N

total sample size.

Value

A vector of length k containing $k$ sample sizes.

Details

If N/k is an integer, the sample sizes are k `N/k's (N/k, N/k, ...), otherwise the remainder will be allocated to each group as `uniformly' as possible, and at last these sample sizes will be permuted randomly.

See Also

cv.ani

Examples

# NOT RUN {
## divisible
kfcv(5, 25)

## not divisible
kfcv(10, 77)
# }