corPvalueStudentParallel function

[INTERNAL] Compute p-values for upper triangle of correlation matrix in parallel

[INTERNAL] Compute p-values for upper triangle of correlation matrix in parallel

corPvalueStudentParallel(adjacency_matrix, number_of_samples, chunk_size)

Arguments

  • adjacency_matrix: [matrix] Adjacency matrix of correlations computed using cor in compute_correlation_matrices
  • number_of_samples: [matrix] Matrix of number of samples used in computation of each correlation value. Computed applying sample_size
  • chunk_size: [int] Smallest unit of work in parallel computation (number of p-values to compute)

Returns

Vector of p-values for upper triangle

  • Maintainer: Katharina Baum
  • License: MIT + file LICENSE
  • Last published: 2022-09-23

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