quantchem (version 0.12-1)

predict.lmcal, predict.nlscal: Inverse predict concentration from given responses

Description

Inverse predict concentration from responses, using all fitted calibration models.

Usage

predict.lmcal(object, dataset, conf.int = 0.95, ...)
predict.nlscal(object, dataset, ...)

Arguments

object

an object of class 'lmcal' or 'nlscal', respectively

dataset

a vector of responses

conf.int

confidence intercal (only for lmcal)

...

additional arguments, currently ignored

Value

• A list containing following elements. Each element is a list of concentration vectors, calculated from a model, with name referring to the model.
• fitted
  Concentrations calculated by fitted model
• upper
  Upper limit of confidence interval of inverse prediction
• lower
  Lower limit of confidence interval of inverse prediction

Details

For linear models, the concentrations are calculated by inverse.predict(), which calls polyroot() on modified polynomial coefficients. For nonlinear models, concentrations are calculated with appropriate 'inverse' formulas.

See Also

lmcal, nlscal

Examples

set.seed(1234)
x=rep(1:10,10)
y=jitter(sqrt(x))
fit=lmcal(x,y)
predict(fit,rnorm(10,mean=2,sd=0.1))