calc_assoc_pval_matrix: Calculate p-values for all pairwise associations of features...

In metasnf: Meta Clustering with Similarity Network Fusion

Calculate p-values for all pairwise associations of features in a data list

Description

Calculate p-values for all pairwise associations of features in a data list

Usage

calc_assoc_pval_matrix(dl, verbose = FALSE, cat_test = "chi_squared")

Arguments

dl	A nested list of input data from data_list().
verbose	If TRUE, output progress to the console.
cat_test	String indicating which statistical test will be used to associate cluster with a categorical feature. Options are "chi_squared" for the Chi-squared test and "fisher_exact" for Fisher's exact test.

Value

A "matrix" class object containing pairwise association p-values between the features in the provided data list.

Examples

data_list <- data_list(
    list(income, "household_income", "demographics", "ordinal"),
    list(pubertal, "pubertal_status", "demographics", "continuous"),
    list(anxiety, "anxiety", "behaviour", "ordinal"),
    list(depress, "depressed", "behaviour", "ordinal"),
    uid = "unique_id"
)

assoc_pval_matrix <- calc_assoc_pval_matrix(data_list)

metasnf documentation built on April 3, 2025, 5:40 p.m.