sample_kfold: A function to create calibration and validation sample sets...

In proximetricsR: Spectral Preprocessing and Chemometric Calibration of NIR Sensors

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
)

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).

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.

proximetricsR documentation built on Sept. 4, 2026, 5:08 p.m.