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distribution/lib/Standard/Base/0.0.0-dev/docs/api/Data/Statistics.md

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Enso Signatures 1.0

module Standard.Base.Data.Statistics

  • type Accumulator
    • Value count:Standard.Base.Data.Numbers.Integer min_max:Standard.Base.Data.Boolean.Boolean minimum:Standard.Base.Any.Any maximum:Standard.Base.Any.Any moments:(Standard.Base.Data.Vector.Vector|Standard.Base.Nothing.Nothing) calc_product:Standard.Base.Data.Boolean.Boolean product:Standard.Base.Any.Any
    • check_moments self statistic:Standard.Base.Any.Any ~action:Standard.Base.Any.Any -> Standard.Base.Any.Any
    • check_product self -> Standard.Base.Any.Any
    • compute self statistic:Standard.Base.Any.Any -> Standard.Base.Any.Any
    • increment self value:Standard.Base.Any.Any -> Standard.Base.Any.Any
    • kurtosis self -> Standard.Base.Any.Any
    • new min_max:Standard.Base.Any.Any= moments:Standard.Base.Any.Any= calc_product:Standard.Base.Any.Any= -> Standard.Base.Any.Any
    • perform_comparison current:Standard.Base.Any.Any value:Standard.Base.Any.Any bound:Standard.Base.Any.Any -> Standard.Base.Any.Any
    • skew self population:Standard.Base.Any.Any -> Standard.Base.Any.Any
    • update_moments self value:Standard.Base.Any.Any -> Standard.Base.Any.Any
    • variance self population:Standard.Base.Any.Any -> Standard.Base.Any.Any
  • type Rank_Method
    • Average
    • Dense
    • Maximum
    • Minimum
    • Ordinal
    • compute self input:Standard.Base.Any.Any -> Standard.Base.Any.Any
  • type Statistic
    • Count
    • Covariance series:Standard.Base.Data.Vector.Vector=
    • Kurtosis
    • Maximum
    • Mean
    • Minimum
    • Pearson series:Standard.Base.Data.Vector.Vector=
    • Product
    • R_Squared predicted:Standard.Base.Data.Vector.Vector=
    • Skew population:Standard.Base.Data.Boolean.Boolean=
    • Spearman series:Standard.Base.Data.Vector.Vector=
    • Standard_Deviation population:Standard.Base.Data.Boolean.Boolean=
    • Sum
    • Variance population:Standard.Base.Data.Boolean.Boolean=
    • bulk_widget display:Standard.Base.Metadata.Display= -> Standard.Base.Metadata.Widget
    • compute data:Standard.Base.Any.Any statistic:Standard.Base.Data.Statistics.Statistic= -> Standard.Base.Any.Any
    • compute_bulk data:Standard.Base.Any.Any statistics:Standard.Base.Data.Vector.Vector= -> Standard.Base.Any.Any
    • covariance_matrix data:Standard.Base.Any.Any -> Standard.Base.Any.Any
    • order self -> Standard.Base.Any.Any
    • pearson_correlation data:Standard.Base.Any.Any -> Standard.Base.Any.Any
    • rank_data input:Standard.Base.Any.Any method:Standard.Base.Any.Any= -> Standard.Base.Any.Any
    • running data:Standard.Base.Any.Any statistic:Standard.Base.Data.Statistics.Statistic= -> Standard.Base.Any.Any
    • running_bulk data:Standard.Base.Any.Any statistics:Standard.Base.Any.Any= -> Standard.Base.Any.Any
    • spearman_correlation data:Standard.Base.Any.Any -> Standard.Base.Any.Any
    • to_java self -> Standard.Base.Any.Any
    • to_text self -> Standard.Base.Any.Any
  • calculate_correlation_statistics x_data:Standard.Base.Any.Any y_data:Standard.Base.Any.Any -> Standard.Base.Any.Any
  • calculate_correlation_statistics_matrix data:Standard.Base.Any.Any -> Standard.Base.Any.Any
  • calculate_spearman_rank x_data:Standard.Base.Any.Any y_data:Standard.Base.Any.Any -> Standard.Base.Any.Any
  • check_if_empty count:Standard.Base.Any.Any ~action:Standard.Base.Any.Any -> Standard.Base.Any.Any
  • check_running_support statistics:Standard.Base.Any.Any ~action:Standard.Base.Any.Any -> Standard.Base.Any.Any
  • compute_fold current:Standard.Base.Any.Any value:Standard.Base.Any.Any -> Standard.Base.Any.Any
  • empty_value statistic:Standard.Base.Any.Any -> Standard.Base.Any.Any
  • is_valid v:Standard.Base.Any.Any -> Standard.Base.Any.Any
  • wrap_java_call ~function:Standard.Base.Any.Any -> Standard.Base.Any.Any