Compute correlation matrix between channels — correlationMatrix • PhysioAnalysis

Calculates the Pearson correlation coefficient between all channel pairs.

Usage

correlationMatrix(
  x,
  channels = NULL,
  method = c("pearson", "spearman", "kendall"),
  assay_name = NULL
)

Arguments

x: A PhysioExperiment object.
channels: Integer vector of channel indices.
method: Correlation method: "pearson", "spearman", or "kendall".
assay_name: Input assay name.

Value

A numeric correlation matrix (channel x channel) with values ranging from -1 to 1. Row and column names are set to channel names when available.

References

Oppenheim, A.V. & Willsky, A.S. (1997). "Signals and Systems." 2nd ed. Prentice Hall.

See also

coherence() for frequency-domain coherence, plv() for phase-based connectivity, connectivityMatrix() for a unified connectivity interface.

Examples

set.seed(123)
pe <- PhysioExperiment(
  assays = list(raw = matrix(rnorm(4000), nrow = 1000, ncol = 4)),
  colData = S4Vectors::DataFrame(label = c("Fz", "Cz", "Pz", "Oz")),
  samplingRate = 256
)

# Compute Pearson correlation
cor_matrix <- correlationMatrix(pe)