calibrate.datalogger: Calibrate data loggers and correct time series of...

In embryogrowth: Tools to Analyze the Thermal Reaction Norm of Embryo Growth

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

\insertRef

11124embryogrowth

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)

embryogrowth documentation built on Sept. 11, 2024, 8:16 p.m.