regressFluxSquare: regressFluxSquare

In RespChamberProc: Processing Data from Respiration Chambers

Description

Estimate the initial flux and its standard deviation by polynomial regression

Usage

regressFluxSquare(conc, times, start = c(), tryAutoCorr = TRUE)

Arguments

conc	numeric vector of CO2 concentrations [ppm]
times	times of conc measurements [seconds] used predictor vector, can be used for return for plotting
start	numeric vector of starting parameters. Not used here.
tryAutoCorr	set to FALSE to not try to fit model with autocorrelation

Author(s)

Thomas Wutzler, Oscar Perez Priego

See Also

regressFluxExp

RespChamberProc

Examples

#data(chamberLoggerEx1s)
ds <- chamberLoggerEx1s
conc <- ds$CO2_dry <- corrConcDilution(ds)  
times <- ds$TIMESTAMP
res <- regressFluxSquare( conc, times  )
plot( conc ~ times)
m <- attr(res,"model")
#lines( fitted(m) ~ times )

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