Generate a Synthetic Clustered MVPA Dataset — gen_clustered_sample_dataset • rMVPA

Creates a synthetic ClusteredNeuroVec and associated design for testing.

Usage

gen_clustered_sample_dataset(
  D = c(10, 10, 10),
  nobs = 20,
  K = 5,
  nlevels = 2,
  blocks = 3,
  external_test = FALSE
)

Arguments

D: Spatial dimensions (e.g. c(10, 10, 10)).
nobs: Number of observations (time points).
K: Number of clusters.
nlevels: Number of category levels.
blocks: Number of cross-validation blocks.
external_test: Whether to generate an external test set.

Value

A list with dataset (mvpa_clustered_dataset) and design (mvpa_design).

Examples

ds <- gen_clustered_sample_dataset(K=10, nobs=20, nlevels=2)