powered by
Calibrate a time series of temperatures. Use or gam or glm. If no temperatures.series is given, it will use the read.temperatures.
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 )
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.
The true temperatures during the calibration process
The read temperatures during the calibration process
The temperatures to be converted using calibration
Does gam should be used (TRUE) or glm (FALSE).
Do standard errors are to be returned
Marc Girondot
calibrate.datalogger calibrates data loggers and correct time series of temperatures.
11124embryogrowth
Other Data loggers utilities: movement(), uncertainty.datalogger()
movement()
uncertainty.datalogger()
if (FALSE) { library(embryogrowth) calibrate.datalogger(control.temperatures=20:30, read.temperatures=(20:30)+rnorm(11)) }
Run the code above in your browser using DataLab