Struct TwoSampleTests 

pub struct TwoSampleTests {
    pub ks_statistic: f64,
    pub ks_p_value: f64,
    pub chi2_homogeneity: f64,
    pub chi2_df: usize,
    pub chi2_p_value: f64,
    pub chi2_reliable: bool,
    pub cliffs_delta: f64,
    pub mann_whitney_u: f64,
    pub mann_whitney_p_value: f64,
}

Two-sample statistical tests that directly compare stream A against stream B.

Fields

ks_statistic: f64

Two-sample Kolmogorov-Smirnov statistic: max|F_A(x) - F_B(x)|. Tests whether both samples come from the same distribution.

ks_p_value: f64

Approximate p-value for the two-sample KS test.

chi2_homogeneity: f64

Chi-squared homogeneity statistic comparing the 256-bin byte histograms. Tests whether A and B have the same byte frequency distribution.

chi2_df: usize

Degrees of freedom for the homogeneity test (255 for byte data).

chi2_p_value: f64

Approximate p-value for the chi-squared homogeneity test.

chi2_reliable: bool

Whether the chi-squared approximation is reliable (expected count >= 5 in every cell of the 2×k contingency table).

cliffs_delta: f64

Cliff’s delta: non-parametric effect size for ordinal data. Range [-1, 1]. 0 = no difference. Appropriate for discrete byte values (unlike Cohen’s d which assumes normality).

mann_whitney_u: f64

Mann-Whitney U statistic (normalized to [0, 1]). Tests whether values from A tend to be larger or smaller than values from B. 0.5 = no difference.

mann_whitney_p_value: f64

Approximate p-value for the Mann-Whitney U test (two-tailed, z-approximation). Valid for large samples (n, m >> 20).

Trait Implementations

impl Clone for TwoSampleTests

fn clone(&self) -> TwoSampleTests

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for TwoSampleTests

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Serialize for TwoSampleTests

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.