Calculate P-value from Permutation Results

Helper function to calculate p-value from permutation testing results.

Usage

calculate_pvalue(object, cc_index = 1, alternative = "greater")

Arguments

object

A CoPro object with permutation results

cc_index

Which canonical correlation component to use (default: 1)

alternative

Direction of test: "greater" (default), "less", or "two.sided"

Value

List with p-value, observed value, and permutation distribution

Examples

if (FALSE) { # \dontrun{
result <- calculate_pvalue(br, cc_index = 1, alternative = "greater")
print(paste("P-value:", result$p_value))
} # }