columna API reference - v0.3.0
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    Interface NormalityResult

    interface NormalityResult {
        adjusted?: number;
        critical?: { "0.01": number; "0.05": number; "0.1": number };
        mean: number;
        n: number;
        pBound?: "> 0.100" | "< 0.010";
        pValue: number;
        sd: number;
        statistic: number;
        test:
            | "Anderson-Darling"
            | "Ryan-Joiner"
            | "Kolmogorov-Smirnov"
            | "Shapiro-Wilk"
            | "Jarque-Bera"
            | "D'Agostino K²"
            | "Cramer-von-Mises";
    }
    Index
    adjusted?: number

    Anderson–Darling only: A*² = A²·(1 + 0.75/n + 2.25/n²), the statistic the p-value is based on.

    critical?: { "0.01": number; "0.05": number; "0.1": number }

    Ryan–Joiner only: critical values of R at α = 0.10, 0.05, 0.01 for this n.

    mean: number
    n: number
    pBound?: "> 0.100" | "< 0.010"

    Ryan–Joiner only: Minitab reports the p-value as a bound outside the tabulated range ('> 0.100' / '< 0.010'); pValue then carries an extrapolated point estimate.

    pValue: number
    sd: number
    statistic: number

    A² (unadjusted, as scipy reports it), R (Ryan–Joiner), D (Kolmogorov–Smirnov) or W.

    test:
        | "Anderson-Darling"
        | "Ryan-Joiner"
        | "Kolmogorov-Smirnov"
        | "Shapiro-Wilk"
        | "Jarque-Bera"
        | "D'Agostino K²"
        | "Cramer-von-Mises"