bCM: Parameterize Box-Cox model for mass-height allometry (based...

In NitrogenUptake2016: Data and Source Code From: Nitrogen Uptake and Allocation Estimates for Spartina Alterniflora and Distichlis Spicata

Description

Parameterize Box-Cox model for mass-height allometry (based on Lu et al. 2016)

Usage

bCM(dat, mass = "sample", height = "height_cm", lam.avail = c(-2,
  -1.5, -1, -2/3, -1/2, -1/3, 0, 1/3, 1/2, 2/3, 1, 1.5, 2),
  lam.only = FALSE)

Arguments

dat	dataframe with data
mass	mass column
height	height column
lam.avail	set of possible lambda values
lam.only	if TRUE, lambda is returned. If FALSE, model is returned

Value

if lam.only is FALSE, a model is returned. If lam.only is TRUE, lambda value is returned.

References

Lu, Meng, Caplan, Joshua S., Bakker, Jonathan D., Mozdzer, Thomas J., Drake, Bert G., Megonigal, J. Patrick, and Langley, J. Adam. 2016. Allometry data and equations for coastal marsh plants. Ecology. https://doi.org/10.1002/ecy.1600.

Examples

### get allometry model for each species
CSP <- plyr::dlply(allometry, c("spp"), bCM)
CSP.coef <- plyr::ldply(CSP, stats::coef)
### add lambda value
CSP.coef$lam <- plyr::ddply(allometry, c("spp"), function(df)  
                bCM(df, lam.only = TRUE))[, "V1"]

NitrogenUptake2016 documentation built on May 1, 2019, 11:31 p.m.