cross_validation: Cross Validation Functions

In kyotil: Utility Functions for Statistical Analysis Report Generation and Monte Carlo Studies

Cross Validation Functions

Description

Cross validation utility functions.

Usage

sample.for.cv (dat, v, seed)
get.kfold.splits (dat, k, seed)
kfold.split (k, n1, n0)
ran.kfold.split(k, n1, n0, replicates)
lpo.split(n1, n0)
get.splits (dat, cv.scheme=c("LPO","5fold","50xrandom4:1"), seed) 

Arguments

dat	a data frame. One of the columns must be named y and y should be 0/1 with 1 for case and 0 for control
v	v-fold cross validation
seed	seed for random number generators
k	var.equal
n1	var.equal
n0	var.equal
replicates	var.equal
cv.scheme	var.equal

Details

sample.for.cv: case and controls are sampled separately.

Value

sample.for.cv returns a list of two vector of integers: train and test, which refer to the rows of dat

kyotil documentation built on Nov. 28, 2023, 1:09 a.m.