calibCurve: Calculates regression curve for external standard...
In transmem: Treatment of Membrane-Transport Data

Description Usage Arguments Details Value Author(s) See Also Examples

Polinomial regression curves for external standard calibration are calculated to later convert signals into concentration values.

1	calibCurve(curve, order = 1, badpoint = NULL, intercept = TRUE, plot = TRUE)

`curve`	Data frame of numeric vectors named 'Conc' and 'Signal' containing the concentrations and the signals, respectively.
`order`	Regression curve order. 1 for linear (default) and 2 for quadratic.
`badpoint`	Numeric vector with the points to be ignored in the regresion. This allows the easy elimination of outliers without losing the stored measurement information.
`intercept`	Logical. If `TRUE`, the default, the intercept is calculated normally instead of being forced to 0.
`plot`	Logical. If `TRUE`, the default, the calibration data is plotted.

A linear method (i.e lm()) is applied to obtain the regression curve.

Model of the calibration curve.

Cristhian Paredes, craparedesca@unal.edu.co

Eduardo Rodriguez de San Miguel, erdsmg@unam.mx

calibPlane when using more than one explanatory variable.

  data(curvelithium)
  model1 <- calibCurve(curve = curvelithium, order = 1)
  model2 <- calibCurve(curve = curvelithium, order = 2)
  summary(model1)
  summary(model2)