fitLocfit: a function to model curve of a dataset using a local...
In sanchezi/phisStatR: Phenoarch Greenhouse Data Analysis

Description Usage Arguments Details Value Examples

this function models each curve of a dataset using a local regression on biovolume, plant height or leaf area trait and extracts predictions at specific thermal times

1	fitLocfit(datain, trait, xtime, myylim, tt, reference, myxlab)

`datain`	input dataframe
`trait`	character, trait of interest to model (example biovolume, PH ...)
`xtime`	character, name of the thermal time column in the input dataset (example thermaltime)
`myylim`	numeric, max value of y-axis , varies according to trait
`tt`	numeric vector of thermal times at which predictions are recovered
`reference`	character, a column name indicating an unique identifiant of plant in the input dataset (example: Ref == concatenation of experimentAlias-Line-Position-scenario)
`myxlab`	character, a x label for the output graphics

the input dataset must contain a thermalTime column (numeric data) and a Ref column (unique id)

a dataframe of the predictions at tt thermal times for each plant of the input data set and the graphics of the smoothing curves

# Take a while...
 myThermalTimes<-c(24,30)
 resu<-fitLocfit(datain=plant1,trait="biovolume",xtime="thermalTime",
                 myylim=700,tt=myThermalTimes,reference="Ref",
                 myxlab="Thermal Time degD")
 str(resu)