plot.st4gi_ammi: AMMI or GGE biplots

In reyzaguirre/st4gi: Statistical tools for genetic improvement

AMMI or GGE biplots

Description

This function produces AMMI (Gollob, H. R., 1968) or GGE (Yan , W. et al., 2000) biplots using the base system and ggplot2.

Usage

## S3 method for class 'st4gi_ammi'
plot(
  x,
  bp.type = 2,
  bp1.type = c("effects", "means"),
  graph.type = c("base", "ggplot"),
  color = c("darkorange", "black", "gray"),
  main = NULL,
  xlab = NULL,
  ...
)

Arguments

x	An object of class ammi.
bp.type	Choose 1 for the trait-PC1 biplot and 2 for the PC1-PC2 biplot.
bp1.type	Choose "effects" or "means" for biplot-1.
graph.type	"base" or "ggplot".
color	Color for lines, symbols and/or labels for environments, genotypes and axes (Only for the base system plot).
main	Main title.
xlab	A title for the x axis.
...	Additional plot arguments (Only for the base system plot).

Details

It produces a biplot for an object of class ammi. See ?ammi for additional details.

Value

It returns a dispersion plot of means or effects against the first PC, or a dispersion plot of PC1 against PC2.

Author(s)

Raul Eyzaguirre.

References

Gollob, H. R. (1968). A Statistical Model which combines Features of Factor Analytic and Analysis of Variance Techniques, Psychometrika, Vol 33(1): 73-114.

Yan, W. et al. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot, Crop Sci., Vol 40: 597-605.

Examples

model.ammi <- ammi("y", "geno", "env", "rep", met8x12)
plot(model.ammi)
plot(model.ammi, bp.type = 1)
plot(model.ammi, graph.type = "ggplot")

reyzaguirre/st4gi documentation built on April 30, 2024, 5:45 a.m.