get_calibration

This is a function to fit specific conductivity (<code>SpC</code>) standards and uncalibrated conductivity measured by the STIC to a model object. This model can then be used to predict SpC values using apply_calibration. As of right now, only linear models are supported.

A collection of functions for processing raw data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers. 'STICr' (pronounced "sticker") includes functions for tidying, calibrating, classifying, and doing quality checks on data from STIC sensors. Some package functionality is described in Wheeler/Zipper et al. (2023) <doi:10.31223/X5636K>.

Samuel C. Zipper

STICr

Process Stream Temperature, Intermittency, and Conductivity
(STIC) Sensor Data

Sam Zipper

Christopher T. Wheeler

Stephen Cook

Delaney Peterson

Sarah Godsey

get_calibration function

<dl><dt>calibration_data</dt>
<dd>STIC calibration data frame with columns <code>"standard"</code> (units: µS/cm) and <code>"condUncal"</code> (units: lux).</dd></dl>

Arguments

get_calibration — get_calibration

<dl>

<dt>calibration_data</dt>
<dd>STIC calibration data frame with columns <code>"standard"</code> (units: µS/cm) and <code>"condUncal"</code> (units: lux).</dd>

</dl>

get_calibration: get_calibration

Description

Usage

Value

Arguments

Examples