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Object[Analysis, Smoothing]

Smoothing analysis of curves constructed via connected {x,y} datapoints.

Organizational Information

    Name

    Name of this Object.
    Format: Single
    Class: String
    Programmatic Pattern: _String
    Pattern Description: A string.

    ID

    ID of this Object.
    Format: Single
    Class: String
    Programmatic Pattern: _String
    Pattern Description: The ID of this object.

    Object

    Object of this Object.
    Format: Single
    Class: Expression
    Programmatic Pattern: Object[Analysis, Smoothing, _String]
    Pattern Description: The object reference of this object.

    Type

    Type of this Object.
    Format: Single
    Class: Expression
    Programmatic Pattern: Object[Analysis, Smoothing]
    Pattern Description: Object[Analysis, Smoothing]

    Notebook

    Notebook this object belongs to.
    Format: Single
    Class: Link
    Programmatic Pattern: _Link
    Pattern Description: An object of that matches ObjectP[Object[LaboratoryNotebook]].
    Relation: Object[LaboratoryNotebook][Objects]

    Author

    The person who ran the analysis.
    Format: Single
    Class: Link
    Programmatic Pattern: _Link
    Relation: Object[User]

General

Analysis & Reports

    ResolvedDataPoints

    List of {x,y} datapoints that is ensured to have equal spacing before applying smoothing analysis.
    Format: Single
    Class: Compressed
    Programmatic Pattern: CoordinatesP | QuantityCoordinatesP[] | DistributionCoordinatesP | Objects`Private`listOfQuantityDistributionsP

    SmoothedDataPoints

    List of {x,y} datapoints after applying the smoothing analysis.
    Format: Single
    Class: Compressed
    Programmatic Pattern: CoordinatesP | QuantityCoordinatesP[]

    Radius

    The best smoothing radius which is used in all methods except LowpassFilter and HighpassFilter.
    Format: Single
    Class: Real
    Programmatic Pattern: GreaterEqualP[0] | GreaterEqualP[0 ArbitraryUnit]

    CutoffFrequency

    The best smoothing cutoff frequency which is used for LowpassFilter or HighpassFilter methods.
    Format: Single
    Class: Real
    Programmatic Pattern: GreaterP[0] | GreaterP[0 ArbitraryUnit]

    EstimatedBaseline

    List of {x,y} datapoints that estimates the baseline of the dataset.
    Format: Single
    Class: Compressed
    Programmatic Pattern: CoordinatesP | QuantityCoordinatesP[]

    SmoothingLocalStandard Deviation

    List of {x,y} datapoints that estimates the standard deviation of the difference between the smoothed dataset and the original dataset which can be used as a goodness of smoothing criteria.
    Format: Single
    Class: Compressed
    Programmatic Pattern: CoordinatesP | QuantityCoordinatesP[]

    Residuals

    Mean squared value of the difference between smoothed y-values and the actual y-values from the data points for each data point.
    Format: Single
    Class: Compressed
    Programmatic Pattern: {_?NumericQ...} | _?NumericQ

    TotalResidual

    Total mean squared value of the difference between smoothed y-values and the actual y-values from the data points.
    Format: Single
    Class: Real
    Programmatic Pattern: _?NumericQ
Last modified on Mon 26 Sep 2022 15:43:43
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