transmem (version 0.1.1)

calibCurve: Calculates regression curve for external standard calibration.

Description

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

Usage

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

Arguments

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.

Value

Model of the calibration curve.

Details

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

See Also

calibPlane when using more than one explanatory variable.

Examples

# NOT RUN {
  data(curvelithium)
  model1 <- calibCurve(curve = curvelithium, order = 1)
  model2 <- calibCurve(curve = curvelithium, order = 2)
  summary(model1)
  summary(model2)
# }