fitA.Rd
fitA
fitA(flux.data, cov.data = NULL, model = NULL)
flux.data | data.frame of Licor data, concatenated by rows, and with a leading column 'fname' that is used to count the number of curves and match to covariates |
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cov.data | data.frame of covariate data. Column names used in formulas |
model | list including at least 6 components: the fixed effects model for alpha (a.fixed) and Vcmax (V.fixed), the random effects for these (a.random, V.random), the variable used to match the gas-exchange and covariate data (match), and the number of MCMC interations (n.iter). Additional optional arguments: TPU = TRUE turns on TPU limitation; Temp == 'Bernacchi01' turns on the Bernacchi et al 2001 temperature correction. If this is turned on all parameters are estimated for 25C, otherwise no temperature correction is applied. Setting Temp = 'June2004' will turn on the June et al 2004 Funct Plant Biol temperature correction to Jmax. Note: these two corrections are not mutually exclusive, you can set Temp = c('June2004','Bernacchi2001') Right now the fixed effects are specified as a string using the standard R lm formula syntax, but without the LHS variable (e.g. '~ SLA + chl + SLA:chl'). The tilde is optional. For random effects, the two options right now are just 'leaf' for leaf-level random effects and NULL. 'model' has a default that sets all effects to NULL (fit one curve to all data) and n.iter=1000. |