calc_assoc_pval {metasnf} | R Documentation |
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.
[Package metasnf version 1.1.2 Index]