mc_prep_calib_load: Load sensor calibration parameters to correct microclimatic...

In myClim: Microclimatic Data Processing

Load sensor calibration parameters to correct microclimatic records

Description

This function loads calibration parameters from data.frame logger_calib_table and stores them in the myClim object metadata. This function does not calibrate data. For calibration itself run mc_prep_calib()

Usage

mc_prep_calib_load(data, calib_table)

Arguments

data	myClim object in Raw-format. see myClim-package
calib_table	data.frame with columns (serial_number, sensor_id, datetime, slope, intercept)

Details

This function allows user to provide correction coefficients cor_factor and cor_slope for linear sensor calibration. Calibrated data have by default the form of linear function terms:

⁠calibrated value = original value * (cor_slope + 1) + cor_factor⁠

In case of one-point calibration, cor_factor can be estimated as: ⁠cor_factor = reference value - sensor value⁠ and cor_slope should be set to 0. This function loads sensor-specific calibration coefficients from calib_table and stores them into myClim Raw-format object metadata. The calib_table is data.frame with 5 columns:

• serial_number = serial number of the logger

• sensor_id = name of sensor, e.g. "TMS_T1"

• datetime = the date of the calibration in POSIXct type

• cor_factor = the correction factor

• cor_slope = the slope of calibration curve (in case of one-point calibration, use cor_slope = 0)

It is not possible to change calibration parameters for already calibrated sensor. This prevents repeated calibrations. Once mc_prep_calib() is called then it is not allowed to provide new calibration data, neither run calibration again.

Value

myClim object with loaded calibration information in metadata. Microclimatic records are not calibrated, only ready for calibration. To calibrate records run mc_prep_calib()

myClim documentation built on Oct. 21, 2024, 5:07 p.m.