crossv_vfold: Generate cross-validated v-fold test-training pairs

In jrnold/ramsleep: Resampling, Cross-Validation, and Permutation Methods Infrastucture

Description

Generate cross-validated v-fold test-training pairs

Usage

crossv_vfold(n, v = 5L, shuffle = TRUE)

Arguments

n	A positive, scalar integer representing the number of observations (items to choose from).
v	A scalar integer representing the number of folds in cross validation.
shuffle	A flag which indicates whether to randomly assign observations to folds.

References

• Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J. (1984) Classification and Regression Trees. Wadsworth.

• Burman, P. (1989) "A comparative study of ordinary cross-validation, v-fold cross-validation and repeated learning-testing methods." Biometrika, 76, 503<e2><80><93>514

• Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press.

• Efron, B. (1986) "How biased is the apparent error rate of a prediction rule?" Journal of the American Statistical Association, 81, 461<e2><80><93>470.

• Stone, M. (1974) "Cross-validation choice and assessment of statistical predictions (with Discussion)". Journal of the Royal Statistical Society, B, 36, 111<e2><80><93>147.

Examples

crossv_vfold(20, v = 5)

jrnold/ramsleep documentation built on May 29, 2019, 11:43 a.m.