CSuperSample Class

This class represents a collection of CSample objects (samples of connectomes), providing methods to aggregate, analyze, and compute statistics across multiple samples sharing the same Riemannian metric.

Active bindings

list_of_samples

The list of CSample objects aggregated in this super-sample.

sample_size

The total number of connectomes in all samples.

matrix_size

The size of the connectome matrices.

mfd_dim

The dimension of the manifold.

riem_metric

The Riemannian metric used by all samples.

variation

The total variation of the aggregated sample.

sample_cov

The sample covariance matrix of the aggregated sample.

full_sample

The aggregated CSample object containing all connectomes.

frechet_mean

The Frechet mean of the aggregated sample.

Within

The within-group covariance matrix (W).

Total

The total covariance matrix (T).

Methods

Public methods

• CSuperSample$new()

• CSuperSample$compute_variation()

• CSuperSample$compute_sample_cov()

• CSuperSample$gather()

• CSuperSample$compute_fmean()

• CSuperSample$compute_W()

• CSuperSample$compute_T()

• CSuperSample$clone()

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Method new()

Initialize a CSuperSample object

Usage

CSuperSample$new(samples)

Arguments

samples

A list of CSample objects. All must use the same Riemannian metric.

Returns

A new CSuperSample object.

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Method compute_variation()

Compute the total variation of the aggregated sample.

Usage

CSuperSample$compute_variation()

Returns

None. This function is called for its side effects. The result is stored in the variation active binding.

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Method compute_sample_cov()

Compute the sample covariance matrix of the aggregated sample.

Usage

CSuperSample$compute_sample_cov()

Returns

None. This function is called for its side effects. The result is stored in the sample_cov active binding.

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Method gather()

Gather all connectomes from the list of samples into a single CSample object.

Usage

CSuperSample$gather()

Returns

None. This function is called for its side effects. The result is stored in the full_sample active binding.

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Method compute_fmean()

Compute the Frechet mean of the aggregated sample.

Usage

CSuperSample$compute_fmean()

Returns

None. This function is called for its side effects. The result is stored in the frechet_mean active binding.

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Method compute_W()

Compute the within-group covariance matrix (W) for the samples.

Usage

CSuperSample$compute_W()

Returns

None. This function is called for its side effects. The result is stored in the Within active binding.

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Method compute_T()

Compute the total covariance matrix (T) for the samples.

Usage

CSuperSample$compute_T()

Returns

None. This function is called for its side effects. The result is stored in the Total active binding.

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Method clone()

The objects of this class are cloneable with this method.

Usage

CSuperSample$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.