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 |
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 |
plot |
Logical. If |
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.
1 2 3 4 5 | data(curvelithium)
model1 <- calibCurve(curve = curvelithium, order = 1)
model2 <- calibCurve(curve = curvelithium, order = 2)
summary(model1)
summary(model2)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.