Simple Permutation Test for Correlation Differences — perm_correlation

Tests whether the correlation of condition effects between ancestries X and Y with a reference ancestry R differs. No bootstrapping or convergence logic.

Usage

perm_correlation_difference(
  X,
  Y,
  R,
  MX,
  MY,
  MR,
  g_col,
  method = c("pearson", "spearman"),
  B = 1000,
  seed = NULL
)

Arguments

X: Matrix of expression values (ancestry 1); samples x genes
Y: Matrix of expression values (ancestry 2)
R: Matrix of expression values (reference ancestry)
MX: Metadata for X; must contain group column
MY: Metadata for Y
MR: Metadata for R
g_col: Column in metadata specifying condition/group (factor with 2 levels)
method: Correlation method: "pearson" (default) or "spearman"
B: Number of permutations
seed: Random seed (optional)

Value

A list with summary statistics and null distribution