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 |

`dilution` |
Numeric vector of dilution factors applied to samples before measurement |

`planar` |
Logical, default to |

`Conc.S` |
Numeric vector of the concentrations of the interferent
species to be considered when a planar calibration model is
provided to |

Numeric vector of species concentrations.

Cristhian Paredes, craparedesca@unal.edu.co

Eduardo Rodriguez de San Miguel, erdsmg@unam.mx

1 2 3 4 5 6 | ```
# 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))
``` |

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