regressFluxTanh: regressFluxTanh

In RespChamberProc: Processing Data from Respiration Chambers

Description

Estimate the initial flux by fitting a hyperbolic tangent saturating function

Usage

regressFluxTanh(conc, times, start = c(), cSatFac = 2, 
    tryAutoCorr = TRUE)

Arguments

conc	numeric vector of CO2 concentrations []
times	times of conc measurements [seconds]
start	numeric vector of starting parameters. May provide from last bootstrap to speed up fitting
cSatFac	Position of the initial estimate of saturation (0 start, 1 end, >1 outside measured range)
tryAutoCorr	set to FALSE to not try to fit model with autocorrelation

Details

For efficiency reasons, does not check for missing values (NA). The caller must provide conc and times all finite.

Author(s)

Thomas Wutzler, Oscar Perez Priego

See Also

regressFluxExp

RespChamberProc

Examples

#data(chamberLoggerEx1s)
ds <- chamberLoggerEx1s[-(1:16),]
conc <- ds$CO2_dry <- corrConcDilution(ds)  
times <- ds$TIMESTAMP
times0 <- as.numeric(times) - as.numeric(times[1])
#trace(regressFluxTanh, recover)	#untrace(regressFluxTanh)
(res <- regressFluxTanh( conc, times  ))
plot( conc ~ times)
lines( fitted(res$model) ~ times )

RespChamberProc documentation built on May 2, 2019, 5:53 p.m.