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"
)
#> ℹ 139 observations dropped due to incomplete data.

assoc_pval_matrix <- calc_assoc_pval_matrix(data_list)