calc_assoc_pval: Calculate p-values based on feature vectors and their types

In metasnf: Meta Clustering with Similarity Network Fusion

Calculate p-values based on feature vectors and their types

Description

Calculate p-values based on feature vectors and their types

Usage

calc_assoc_pval(var1, var2, type1, type2, cat_test = "chi_squared")

Arguments

var1	A single vector containing a feature.
var2	A single vector containing a feature.
type1	The type of var1 (continuous, discrete, ordinal, categorical).
type2	The type of var2 (continuous, discrete, ordinal, categorical).
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

pval A p-value from a statistical test based on the provided types. Currently, this will either be the F-test p-value from a linear model if at least one feature is non-categorical, or the chi-squared test p-value if both features are categorical.

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