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ExpandedStatisticalConfig

scirs2_series::features::config

Struct ExpandedStatisticalConfig 

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pub struct ExpandedStatisticalConfig {
Show 17 fields
    pub calculate_higher_order_moments: bool,
    pub calculate_robust_statistics: bool,
    pub calculate_percentiles: bool,
    pub calculate_distribution_characteristics: bool,
    pub calculate_tail_statistics: bool,
    pub calculate_central_tendency_variations: bool,
    pub calculate_variability_measures: bool,
    pub calculate_normality_tests: bool,
    pub calculate_advancedshape_measures: bool,
    pub calculate_count_statistics: bool,
    pub calculate_concentration_measures: bool,
    pub trimming_fraction_10: f64,
    pub trimming_fraction_20: f64,
    pub winsorizing_fraction: f64,
    pub mode_bins: Option<usize>,
    pub normality_alpha: f64,
    pub use_fast_approximations: bool,

}
Expand description

Configuration for expanded statistical analysis

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§calculate_higher_order_moments: bool

Enable higher-order moments calculation (5th and 6th moments)

§calculate_robust_statistics: bool

Enable robust statistics (trimmed means, winsorized mean, MAD)

§calculate_percentiles: bool

Enable percentile-based measures (P5, P10, P90, P95, P99)

§calculate_distribution_characteristics: bool

Enable distribution characteristics (L-moments, skewness variants)

§calculate_tail_statistics: bool

Enable tail statistics (outlier counts, tail ratios)

§calculate_central_tendency_variations: bool

Enable central tendency variations (harmonic, geometric, quadratic means)

§calculate_variability_measures: bool

Enable advanced variability measures

§calculate_normality_tests: bool

Enable normality tests (Jarque-Bera, Anderson-Darling, etc.)

§calculate_advancedshape_measures: bool

Enable advanced shape measures (biweight, Qn/Sn estimators)

§calculate_count_statistics: bool

Enable count-based statistics (zero crossings, local extrema)

§calculate_concentration_measures: bool

Enable concentration measures (Herfindahl, Shannon diversity)

§trimming_fraction_10: f64

Trimming fraction for trimmed means (default: 0.1 for 10% trimming)

§trimming_fraction_20: f64

Trimming fraction for trimmed means (default: 0.2 for 20% trimming)

§winsorizing_fraction: f64

Winsorizing fraction (default: 0.05 for 5% winsorizing)

§mode_bins: Option<usize>

Number of bins for mode approximation (default: sqrt(n))

§normality_alpha: f64

Confidence level for normality tests (default: 0.05)

§use_fast_approximations: bool

Whether to use fast approximations for computationally expensive measures

Trait Implementations§

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impl Clone for ExpandedStatisticalConfig

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fn clone(&self) -> ExpandedStatisticalConfig

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for ExpandedStatisticalConfig

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

Formats the value using the given formatter. Read more
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impl Default for ExpandedStatisticalConfig

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fn default() -> Self

Returns the “default value” for a type. Read more

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🔬This is a nightly-only experimental API. (clone_to_uninit)
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