proximetricsR (version 0.6.5)

sample_kfold: A function to create calibration and validation sample sets for k-fold cross-validation

Description

for internal use only! This function implements k-fold sampling. based on either a random or sequential selection of observations. If group is provided, the sampling is done based on the groups. This function is used to create groups for k-fold cross-validations.

Usage

sample_kfold(
  N,
  number,
  group = NULL,
  sampling = c("random", "sequential"),
  seed = NULL
)

Value

a list with two matrices (hold_in and hold_out) giving the indices of the observations in each column. The number of columns represents the number of sampling repetitions.

Arguments

N

the total number of observations.

number

the number of folds.

group

the labels for each sample in indicating the group each observation belongs to.

sampling

a character vector indicating hw to sample. Options are: "random" (default) or "sequential" (the one used in NIRWise PLUS).

seed

an integer for random number generator (default NULL).