optimise: Optimise Calibration Series
In wilsontom/OptiCal: Optimise Calibrants
optimise R Documentation
Optimise Calibration Series
Description
Optimise Calibration Series
Usage
optimise(calibration_data, p = 0.6, quad = TRUE)
Arguments
calibration_data
a data.frame or tibble of calibration data. The data should have two columns named, area and concentration.
p
a numeric value (between 0 and 1) of the minimum percentage of calibration observations to utilise
quad
logical; if TRUE then quadratic regression is also included alongside linear regression duringf the optimisation
Value
a list of three elements.
-
type: a character string of the regression type (linear or quadratic)
-
score: numeric value of the OptiCal score
-
data: a data.frame of the optimal set of calibration observations
wilsontom/OptiCal documentation built on March 24, 2022, 1:20 p.m.
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| optimise | R Documentation |
Optimise Calibration Series
Description
Optimise Calibration Series
Usage
optimise(calibration_data, p = 0.6, quad = TRUE)
Arguments
calibration_data |
a |
p |
a numeric value (between 0 and 1) of the minimum percentage of calibration observations to utilise |
quad |
logical; if |
Value
a list of three elements.
-
type: a character string of the regression type (linear or quadratic) -
score: numeric value of theOptiCalscore -
data: adata.frameof the optimal set of calibration observations
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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