GGEModels: GGE Models for Input into GGE Biplots and for summarising...

In stats4sd/GGEBiplots: GGE Biplots with 'ggplot2'

GGE Models for Input into GGE Biplots and for summarising explained variability per component

Description

GGE Models for Input into GGE Biplots and for summarising explained variability per component

Usage

GGEModels(Data, centering = "tester", scaling = "none", SVP = "column")

Arguments

Data	wide data frame containing GxE means with genotypes in rows and environments in columns with rownames and colnames indicating genotype names and environment names
centering	centering method. Options are "tester", "global","double" or "none" for tester centered (G+GE), global centered (E+G+GE), double centred (GE) or no centering. No centering is strongly not reccomended as some functionality will not work. Defaults to tester centered.
scaling	scaling method. Options are "sd" or "none"
SVP	method for singular value partitioning. Options are "row","column","dual" or "symmetrical". Defaults to "column"

Examples

library(agricolae)
data(plrv)
GxEMeans<-tapply(plrv$Yield,list(plrv$Genotype,plrv$Locality),mean,na.rm=T)
GGEModels(GxEMeans)

stats4sd/GGEBiplots documentation built on March 18, 2023, 7:54 p.m.