Create an MVPA Dataset Object

Creates a dataset object for MVPA analysis that encapsulates a training dataset, an optional test dataset, and a voxel mask.

Usage

mvpa_dataset(train_data, test_data = NULL, mask)

Arguments

train_data

The training data set: a NeuroVec instance

test_data

Optional test data set: a NeuroVec instance (default: NULL)

mask

The set of voxels to include: a NeuroVol instance

Value

An mvpa_dataset object (S3 class) containing:

train_data

The training data as a NeuroVec instance

test_data

The test data as a NeuroVec instance (if provided, otherwise NULL)

mask

The binary mask defining valid voxels as a NeuroVol instance

has_test_set

Logical flag indicating whether this dataset has a test set

See also

mvpa_surface_dataset for creating surface-based MVPA datasets

mvpa_design for creating the corresponding design object

Examples

# Use gen_sample_dataset helper to create a simple dataset
sample_data <- gen_sample_dataset(c(5, 5, 5), nobs = 100, blocks = 4)
dataset <- sample_data$dataset

# Access components
print(dim(dataset$train_data))
#> [1]   5   5   5 100
print(sum(dataset$mask > 0))
#> [1] 125