signal2conc: Converts signals into concentration by using given model.
In transmem: Treatment of Membrane-Transport Data

Description Usage Arguments Value Author(s) Examples

After a calibration model is established (either by using calibCurve or calibPlane), the function interpolates the signals of samples to get the associated concentrations.

1	signal2conc(signal, model, dilution = NULL, planar = FALSE, Conc.S = NULL)

`signal`	Numeric vector of signals to be interpolated.
`model`	Regression model of the calibration. Must be obtained using `calibCurve` or `calibPlane`.
`dilution`	Numeric vector of dilution factors applied to samples before measurement
`planar`	Logical, default to `FALSE`. It must be set to TRUE if more than one explanatory variable is used. A planar calibration model must be provided to `model` parameter.
`Conc.S`	Numeric vector of the concentrations of the interferent species to be considered when a planar calibration model is provided to `model`. It is taken into account if `planar = TRUE`.

Numeric vector of species concentrations.

Cristhian Paredes, craparedesca@unal.edu.co

Eduardo Rodriguez de San Miguel, erdsmg@unam.mx

  # A regression model is needed:
  data(curvelithium)
  model <- calibCurve(curve = curvelithium, order = 2)

  signal <- c(0.395, 0.259, 0.188, 0.141, 0.110, 0.095, 0.084)
  (conc <- signal2conc(signal = signal, model = model))