calibrate.datalogger {embryogrowth} | R Documentation |
Calibrate data loggers and correct time series of temperatures
Description
Calibrate a time series of temperatures. Use or gam or glm. If no temperatures.series is given, it will use the read.temperatures.
Usage
calibrate.datalogger(
control.temperatures = stop("Control temperatures is missing"),
read.temperatures = stop("Read temperatures must be indicated"),
temperatures.series = NULL,
gam = TRUE,
se.fit = TRUE
)
Arguments
control.temperatures |
The true temperatures during the calibration process |
read.temperatures |
The read temperatures during the calibration process |
temperatures.series |
The temperatures to be converted using calibration |
gam |
Does gam should be used (TRUE) or glm (FALSE). |
se.fit |
Do standard errors are to be returned |
Details
calibrate.datalogger calibrates data loggers and correct time series of temperatures.
Value
The function will return a corrected time series of temperatures as a vector if se.fit is FALSE or a list if se.fit is TRUE.
Author(s)
Marc Girondot
References
Girondot M, Godfrey MH, Guillon J, Sifuentes-Romero I (2018).
“Understanding and integrating resolution, accuracy and sampling rates of temperature data loggers used in biological and ecological studies.”
Engineering Technology Open Access Journal, 2(4), 55591.
See Also
Other Data loggers utilities:
movement()
,
uncertainty.datalogger()
Examples
## Not run:
library(embryogrowth)
calibrate.datalogger(control.temperatures=20:30,
read.temperatures=(20:30)+rnorm(11))
## End(Not run)