fitSpATS: fitSpATS

In sanchezi/phisStatR: Phenoarch Greenhouse Data Analysis

Description

a function to model curves using a spatial P-Spline modelling using SpATS library

Usage

fitSpATS(datain, trait, genotypeId, rowId, colId, typeModel = "anova",
  genotype.as.random = FALSE, nseg = c(14, 30), verbose)

Arguments

datain	input dataframe of parameters
trait	character, parameter of interest (ex: Biomass24)
genotypeId	character, column name of genotype alias
rowId	character, column name of the row id in the lattice (greenhouse or field)
colId	character, column name of the column id in the lattice (greenhouse or field)
typeModel	character, choice of the spatial P-Spline model, anova or sap
genotype.as.random	logical. If TRUE, the genotype is included as random effect in the model. The default is FALSE.
nseg	numerical vector of length 2 containing the number of segments for each marginal (strictly nseg - 1 is the number of internal knots in the domain of the covariate). Atomic values are also valid, being recycled. Default set to c(14,30)
verbose	logical FALSE by default, if TRUE display information about the progress

Details

the input dataset must contain Position,Line,Ref,scenario,genotypeAlias columns

Value

a SpATS object

See Also

SpATS, PSANOVA and SAP

Examples

 library(phisStatR)
 mydata<-plant4
 test<-fitSpATS(datain=mydata,trait="Biomass24",genotypeId="genotypeAlias",rowId="Line",
       colId="Position",typeModel="anova",genotype.as.random=FALSE,nseg=c(14,30),verbose)

sanchezi/phisStatR documentation built on Nov. 14, 2019, 7:10 p.m.