ml-spectra-processing
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    Interface XNoiseSanPlotOptions

    interface XNoiseSanPlotOptions {
        considerList?: { from: number; step: number; to: number };
        cutOff?: number;
        factorStd?: number;
        fixOffset?: boolean;
        fromTo?: Record<string, FromTo>;
        logBaseY?: number;
        magnitudeMode?: boolean;
        mask?: NumberArray;
        refine?: boolean;
        scaleFactor?: number;
    }
    Index

    Properties

    considerList? cutOff? factorStd? fixOffset? fromTo? logBaseY? magnitudeMode? mask? refine? scaleFactor?

    Properties

    considerList?: { from: number; step: number; to: number }
    cutOff?: number

    percent of positive signal distribution where the noise level will be determined, if it is not defined the program calculate it. @default: will be calculated from the data.

    factorStd?: number

    factor times std to determine what will be marked as signals.

    5
    fixOffset?: boolean

    If the baseline is correct, the midpoint of distribution should be zero. if true, the distribution will be centered.

    true
    fromTo?: Record<string, FromTo>
    logBaseY?: number

    log scale to apply in the intensity axis in order to avoid big numbers.

    2
    magnitudeMode?: boolean

    If true the returns values will be calculated from the Rayleigh inverse cumulative distribution. it returns

    false
    mask?: NumberArray

    array to filter data, if the i-th element is different to zero then the i-th element of the distribution will be ignored.

    undefined
    refine?: boolean

    true the noise level will be recalculated get out the signals using factorStd.

    true
    scaleFactor?: number

    factor to scale the data input[i]*=scaleFactor.

    1

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