normalizeSmp: Normalize Samples
In Greenhouse-Lab/lumfit: Luminex Data Processing

Calculate sample concentration based on the fit of standard dilutions.

1 2	normalizeSmp(dfout, antigen, fname, pdate, yvar, FUNinv, par, bounds, fitflag, trim.flat = TRUE)

`dfout`	data frame containing samples
`antigen`	character string.
`fname`	name of the file that contains raw data.
`pdate`	date of the processing
`yvar`	character strings for the variables used to fit a standard curve.
`FUNinv`	inverse function to infer sample concentration
`par`	values of model function parameters
`bounds`	named vector with values for extrema and bounds indicating "flat" regions of the curve
`fitflag`	flag for the fit as returned by `fitStd`
`trim.flat`	logical value determining how the values of `yvar` are trimmed. If `TRUE`, they will be trimmed at the bounds where the curve starts to flatten out (automatically determined as maxima of the third derivative of the function). If `FALSE`, `yvar` will be trimmed at extrema, defined as the range of standards or asymptotes of the fit (whichever are less extreme).