crossval {mdatools}

Generate sequence of indices for cross-validation

Description

Generates and returns sequence of object indices for each segment in random segmented cross-validation

Usage

crossval(cv = 1, nobj = NULL, resp = NULL)

Arguments

cv

cross-validation settings, can be a number or a list. If cv is a number, it will be used as a number of segments for random cross-validation (if cv = 1, full cross-validation will be preformed), if it is a list, the following syntax can be used: cv = list('rand', nseg, nrep) for random repeated cross-validation with nseg segments and nrep repetitions or cv = list('ven', nseg) for systematic splits to nseg segments ('venetian blinds').

nobj

number of objects in a dataset

resp

vector with response values to use in case of venetian blinds

Value

matrix with object indices for each segment