regressFluxLinear: regressFluxLinear

In bgctw/RespChamberProc: Processing Data from Respiration Chambers

regressFluxLinear

Description

Estimate the initial flux by linear regression

Usage

regressFluxLinear(conc, times, start = c(), 
    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
tryAutoCorr	set to FALSE to not try to fit model with autocorrelation

Value

list with entries

stat	numeric vector (2) with entries: flux, sdFlux, AIC, and autoCorr:
flux	flux estimate at starting time
sdFlux	standard deviation of flux
AIC	model fit diagnostics
autoCorr	coefficient of autocorrelation or NA if model with autocorrelation could not be fitted or had higher AIC than model without autocorrelation
times	used predictor vector, can be used for return for plotting
model	the model-fit object (here of class gls)

Author(s)

Thomas Wutzler, Oscar Perez Priego

See Also

regressFluxExp

RespChamberProc

Examples

#data(chamberLoggerEx1s)
ds <- chamberLoggerEx1s
conc <- ds$CO2_Avg
times <- ds$TIMESTAMP
plot( conc ~ times )
regressFluxLinear( conc, times  )

bgctw/RespChamberProc documentation built on Jan. 4, 2024, 6:12 a.m.