FcnsByCatCalibration

Calibration

<p>The <span class="pkg">EnvStats</span> functions listed below are useful for performing calibration and 
  inverse prediction to determine the concentration of a chemical based on a machine signal.</p>

 package

Graphical and statistical analyses of environmental data, with
focus on analyzing chemical concentrations and physical parameters, usually in
the context of mandated environmental monitoring.  Major environmental
statistical methods found in the literature and regulatory guidance documents,
with extensive help that explains what these methods do, how to use them,
and where to find them in the literature.  Numerous built-in data sets from
regulatory guidance documents and environmental statistics literature.  Includes
scripts reproducing analyses presented in the book "EnvStats:  An R Package for
Environmental Statistics" (Millard, 2013, Springer, ISBN 978-1-4614-8455-4,
<https://link.springer.com/book/10.1007/978-1-4614-8456-1>).

Alexander Kowarik

EnvStats

Package for Environmental Statistics, Including US EPA Guidance

Steven P. Millard

FcnsByCatCalibration function

EnvStats Functions for Calibration — FcnsByCatCalibration

EnvStats Functions for Calibration

Function Name	Description
`anovaPE`	Compute lack-of-fit and pure error ANOVA table for a
	linear model.
`calibrate`	Fit a calibration line or curve.
`detectionLimitCalibrate`	Determine detection limit based on using a calibration
	line (or curve) and inverse regression.
`inversePredictCalibrate`	Predict concentration using a calibration line (or curve)
	and inverse regression.
`pointwise`	Pointwise confidence limits for predictions.
`predict.lm`	Predict method for linear model fits.

FcnsByCatCalibration: EnvStats Functions for Calibration

Description

Arguments

Details