| fitCurve | R Documentation | 
Fit dose-response curves
fitCurve(
  spec,
  unit = c("M", "mM", "uM", "nM", "pM", "fM"),
  varFilterMethod = c("mean", "median", "q25", "q75", "none"),
  monoisotopicFilter = FALSE,
  averageMethod = c("mean", "median", "sum"),
  normMz = NULL,
  normTol = 0.1,
  alignTol = 0.01,
  binTol = 2e-04,
  SNR = 3,
  halfWindowSize = 3,
  allowNoMatches = TRUE,
  normMeth = c("mz", "TIC", "median", "none"),
  SinglePointRecal = TRUE,
  verbose = TRUE
)
spec | 
 List of MALDIquant::MassSpectrum  | 
unit | 
 Character, unit of concentration. Used to calculate the concentration in Moles so that pIC50 is correct. Set to "M" if you dont want changes in your concentrations.  | 
varFilterMethod | 
 Character, function applied for high variance filtering. One of the following options   | 
monoisotopicFilter | 
 Logical, filter peaks and just use monoisotopic peaks for curve fit.  | 
averageMethod | 
 Character, aggregation method for average mass spectra ("mean" or "median")  | 
normMz | 
 Numeric, mz used for normalization AND for single point recalibration.  | 
normTol | 
 Numeric, tolerance in Dalton to match normMz  | 
alignTol | 
 Numeric, tolerance for spectral alignment in Dalton.  | 
binTol | 
 Numeric, tolerance for binning of peaks.  | 
SNR | 
 Numeric, signal to noise ratio for peak detection.  | 
halfWindowSize | 
 2ction. See   | 
allowNoMatches | 
 Logical, if normMz can not be found in a spectrum, proceed and exclude spectrum or stop  | 
normMeth | 
 Character, normalization method. Can either be "TIC", "median" or "mz". If "mz" then the normMz is used. If none no normalization is done.  | 
SinglePointRecal | 
 Logical, perform single point recalibration to normMz  | 
verbose | 
 Logical, print logs to console.  | 
Object of class MALDIassay.
The most important slot is fits which contains the IC50 curve fits.
data(Blank2022spec)
fitCurve(spec = Blank2022spec,
         SinglePointRecal = TRUE, 
         normMz = 760.585, 
         alignTol = 0.1, 
         normTol = 0.1,
         varFilterMethod = "mean") 
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