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Object[Analysis, ParallelLine]

Dose-response parallel line analysis of 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, ParallelLine, _String]
    Pattern Description: The object reference of this object.

    Type

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

    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

    BestFitFunction

    Fit function that calculates the expected Y as a function of X, stored as a pure function.
    Format: Multiple

    [[1]] Standard Samples

      Header: Standard Samples
      Class: Expression
      Programmatic Pattern: _Function|_QuantityFunction

    [[2]] Analyte Samples

      Header: Analyte Samples
      Class: Expression
      Programmatic Pattern: _Function|_QuantityFunction

    BestFitExpression

    The symbolic expression with the best fit parameters replaced by their fitted values.
    Format: Multiple

    [[1]] Standard Samples

      Header: Standard Samples
      Class: Expression
      Programmatic Pattern: Except[_String]

    [[2]] Analyte Samples

      Header: Analyte Samples
      Class: Expression
      Programmatic Pattern: Except[_String]

    BestFitParametersStandard

    The estimated best fit four parameters for standard samples along with their fitted values and standard deviations.
    Format: Multiple

    [[1]] Parameter Name

      Header: Parameter Name
      Class: Expression
      Programmatic Pattern: _Symbol

    [[2]] Fitted Value

      Header: Fitted Value
      Class: Real
      Programmatic Pattern: NumericP

    [[3]] Standard Deviation

      Header: Standard Deviation
      Class: Real
      Programmatic Pattern: NumericP?NonNegative

    BestFitParametersAnalyte

    The estimated best fit four parameters for analyte samples along with their fitted values and standard deviations.
    Format: Multiple

    [[1]] Parameter Name

      Header: Parameter Name
      Class: Expression
      Programmatic Pattern: _Symbol

    [[2]] Fitted Value

      Header: Fitted Value
      Class: Real
      Programmatic Pattern: NumericP

    [[3]] Standard Deviation

      Header: Standard Deviation
      Class: Real
      Programmatic Pattern: NumericP?NonNegative

Statistical Information

    RelativePotency

    The ratio of relative potency which is determined in the linear region of the curve where the response changes relative to the concentration at 50% effective dose or EC50.
    Format: Single
    Class: Real
    Programmatic Pattern: NumericP

    RelativePotencyDistribution

    Distribution of relative potency as a result of the division between standard and analyte inflection point distributions.
    Format: Single
    Class: Expression
    Programmatic Pattern: DistributionP[]

    ANOVATableStandard

    The statistic table generfated by performing an ANOVA analysis on standard samples.
    Format: Single
    Class: Expression
    Programmatic Pattern: _Pane

    ANOVATableAnalyte

    The statistic table generfated by performing an ANOVA analysis on analyte samples.
    Format: Single
    Class: Expression
    Programmatic Pattern: _Pane

    ANOVAOfModel

    The ANOVA results when source of variation is from the regression model.
    Format: Multiple

    [[1]] Samples

      Header: Samples
      Class: Expression
      Programmatic Pattern: _Symbol

    [[2]] DF

      Header: DF
      Class: Real
      Programmatic Pattern: NumericP

    [[3]] Sum of Squares

      Header: Sum of Squares
      Class: Real
      Programmatic Pattern: NumericP

    [[4]] Mean Squares

      Header: Mean Squares
      Class: Real
      Programmatic Pattern: NumericP

    [[5]] F-Statistic

      Header: F-Statistic
      Class: Real
      Programmatic Pattern: NumericP

    [[6]] F-Critical (95%)

      Header: F-Critical (95%)
      Class: Real
      Programmatic Pattern: NumericP

    [[7]] P-Value

      Header: P-Value
      Class: Real
      Programmatic Pattern: NumericP

    ANOVAOfError

    The ANOVA results when source of variation is from the residual error.
    Format: Multiple

    [[1]] Samples

      Header: Samples
      Class: Expression
      Programmatic Pattern: _Symbol

    [[2]] DF

      Header: DF
      Class: Real
      Programmatic Pattern: NumericP

    [[3]] Sum of Squares

      Header: Sum of Squares
      Class: Real
      Programmatic Pattern: NumericP

    [[4]] Mean Squares

      Header: Mean Squares
      Class: Real
      Programmatic Pattern: NumericP

    ANOVAOfTotal

    The ANOVA results when source of variation is from the original data.
    Format: Multiple

    [[1]] Samples

      Header: Samples
      Class: Expression
      Programmatic Pattern: _Symbol

    [[2]] DF

      Header: DF
      Class: Real
      Programmatic Pattern: NumericP

    [[3]] Sum of Squares

      Header: Sum of Squares
      Class: Real
      Programmatic Pattern: NumericP

    FStatistic

    F Statistic is calculated by performing a F hypothesis test, following the equation MSR/MSE where MSR is the regression mean square, MSE is the mean square error.
    Format: Multiple

    [[1]] Standard Samples

      Header: Standard Samples
      Class: Real
      Programmatic Pattern: NumericP

    [[2]] Analyte Samples

      Header: Analyte Samples
      Class: Real
      Programmatic Pattern: NumericP

    FCritical

    By default, it is the 95% critical value for the F-ratio distribution determined by the degrees of freedom in this object.
    Format: Multiple

    [[1]] Standard Samples

      Header: Standard Samples
      Class: Real
      Programmatic Pattern: NumericP

    [[2]] Analyte Samples

      Header: Analyte Samples
      Class: Real
      Programmatic Pattern: NumericP

    FTestPValue

    The cumulative probability beyond FStatistic for the F-ratio distribution.
    Format: Multiple

    [[1]] Standard Samples

      Header: Standard Samples
      Class: Real
      Programmatic Pattern: NumericP

    [[2]] Analyte Samples

      Header: Analyte Samples
      Class: Real
      Programmatic Pattern: NumericP

    RSquared

    R^2 value, also known as coefficient of determination, is a measure of how well the generated model fits its data.
    Format: Multiple

    [[1]] Standard Samples

      Header: Standard Samples
      Class: Real
      Programmatic Pattern: NumericP?NonNegative

    [[2]] Analyte Samples

      Header: Analyte Samples
      Class: Real
      Programmatic Pattern: NumericP?NonNegative

    AdjustedRSquared

    An adjustment to the R^2 value that penalizes additional complexity in the model.
    Format: Multiple

    [[1]] Standard Samples

      Header: Standard Samples
      Class: Real
      Programmatic Pattern: NumericP?NonNegative

    [[2]] Analyte Samples

      Header: Analyte Samples
      Class: Real
      Programmatic Pattern: NumericP?NonNegative
Last modified on Mon 26 Sep 2022 15:43:43
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