All functions

collisionEnergyLabel()

Creates the x-axis plot label depending on precursorActivationType and precursorCollisionEnergyUnit as new columns precursorCollisionEnergyUnitLabel.

createDataPlots()

Create the data qc plots for an FIP table.

createFits()

Create the fragment model fits and fit plots for an FIP table.

createLipidCreatorParameters()

Creates fragment parameter file for LipidCreator.

dlnormMode()

Mode function of shifted dlnorm.

dlnormPar()

Parameterized version of the log-normal density function dlnorm.

fits()

Calculates the nonlinear fits for the given tibble.

flip()

Calculate non linear regression models.

plotFits()

Plots information about the fits (residuals, predictions, confidence intervals).

plotFragmentPpmBoxplot()

Plots a PPM deviation boxplot for all fragments.

plotMassDensityDistribution()

Plots the mass density distribution.

plotMzVsMerrPpm()

Plots m/z vs. the mass error in ppm.

plotNumberOfSamplesPerCombinationId()

Plots the number of data samples for each combinationId.

plotParameterConfidenceIntervals()

Plots the confidence intervals for the parameters used for model optimization.

plotPrecCollEnergyVsFoundIntensity()

Plots precursor collision energy vs found raw intensity.

plotPrecCollEnergyVsMassErrorPpm()

Plots the precursor collision energy vs. the fragment mass error in ppm.

plotPrecCollEnergyVsScanRelativeIntensityNormalized()

Plots precursor collision energy vs. total scan intensity normalized relative fragment intensity in separate panels.

plotPrecCollEnergyVsScanRelativeIntensityOverlay()

Plots precursor collision energy vs. total scan intensity normalized relative fragment intensity overlaid on one panel.

plotPredictedFits()

Plots the predicted fits.

plotRawTicVsTotalIonCurrent()

Plots the raw, non-normalized TIC values.

plotResiduals()

Plots the residuals between predicted and measured values.

plotResidualsMeanSumSq()

Plots the mean of the squared sum of residuals.

plotResidualsQQ()

Plots the residuals quantile-quantile plot between standardized residuals and an assumed normal distribution.

plotScanRelativeIntensityHistogram()

Plots the scan relative intensity histogram.

writeGroup()

Selects combinationId, precursorCollisionEnergy and scanRelativeIntenty to write to file.