Description Usage Arguments Value Author(s) References Examples
Produces a genotypebytrait biplot model. From a genotype by environment by trait threeway table, genotypebytrait tables in any single environment, across all environments, or across a subset of the environments can be generated and visually studied using biplots. The model for biplot analysis of genotype by trait data is the singular value decomposition of traitstandardized twoway table.
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.data 
The dataset containing the columns related to Genotypes and the response variable(s). 
gen 
The name of the column that contains the levels of the genotypes. 
resp 
The response variables, i.e., 
centering 
The centering method. Must be one of the 
scaling 
The scaling method. Must be one of the 
svp 
The method for singular value partitioning. Must be one of the

The function returns a list of class gge
that is compatible with the function plot()
used in gge()
.
coordgen The coordinates for genotypes for all components.
coordenv The coordinates for traits for all components.
eigenvalues The vector of eigenvalues.
totalvar The overall variance.
labelgen The name of the genotypes.
labelenv The names of the traits.
labelaxes The axes labels.
gt_mat The data used to produce the model (scaled and centered).
centering The centering method.
scaling The scaling method.
svp The singular value partitioning method.
d The factor used to generate in which the ranges of genotypes and traits are comparable when singular value partitioning is set to 'genotype' or 'trait'.
grand_mean The grand mean of the trial.
mean_gen A vector with the means of the genotypes.
mean_env A vector with the means of the traits.
scale_var The scaling vector when the scaling method is 'sd'
.
Tiago Olivoto tiagoolivoto@gmail.com
Yan, W., and M.S. Kang. 2003. GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists. CRC Press.
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