fitGSS: a function to model curves using smoothing splines anova...
In sanchezi/phisStatR: Phenoarch Greenhouse Data Analysis

Description Usage Arguments Details Value See Also Examples

this function models each curve of genotype using smoothing splines anova

1	fitGSS(datain, trait, loopId)

`datain`	input dataframe
`trait`	character, trait of interest to model (example biovolume, PH ...)
`loopId`	a column name that contains ident of Genotype-Scenario

the input dataframe must contain the following columns: the trait to model, the ident of Genotype-Scenario, thermalTime, repetition columns

Each time course is modelled by a nonparametric smoothing spline. This is a piecewise cubic polynomial (Eubank, 1999). Then a functional ANOVA decomposition (Gu, 2014) of all the fitted splines for each genotype by environmental treatment combination is realised, by taking into account the replicate effect and a temporal functional effect. The smoothing spline fitting and the functional ANOVA decompositions are be performed with the gss R package.

a list containing 2 objects