Simple functions for plotting linear
calibration functions and estimating standard errors for measurements
according to the Handbook of Chemometrics and Qualimetrics: Part A
by Massart et al. There are also functions estimating the limit
of detection (LOD) and limit of quantification (LOQ).
The functions work on model objects from - optionally weighted - linear
regression (lm) or robust linear regression ('rlm' from the 'MASS' package).
Help topics
Main functions
Essential functionality
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inverse.predict(inverse.predict.lm, inverse.predict.rlm, inverse.predict.default)
Predict x from y for a linear calibration
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calplot(calplot.default, calplot.lm)
Plot calibration graphs from univariate linear models
LOD and LOQ
Limit of detection and limit of quantification
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lod(lod.lm, lod.rlm, lod.default)
Estimate a limit of detection (LOD)
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loq(loq.lm, loq.rlm, loq.default)
Estimate a limit of quantification (LOQ)
Datasets
Example data
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din32645
Calibration data from DIN 32645
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massart97ex1
Calibration data from Massart et al. (1997), example 1
Other