Produces a ggplot2-based GGE-GT-GYT biplot based on a model fitted with the
functions gge(), gtb(), and gytb().
Usage
# S3 method for gge
plot(
  x,
  var = 1,
  type = 1,
  repel = TRUE,
  repulsion = 1,
  max_overlaps = 20,
  sel_env = NA,
  sel_gen = NA,
  sel_gen1 = NA,
  sel_gen2 = NA,
  shape.gen = 21,
  shape.env = 23,
  line.type.gen = "dotted",
  size.shape = 2.2,
  size.shape.win = 3.2,
  size.stroke = 0.3,
  col.stroke = "black",
  col.gen = "blue",
  col.env = "forestgreen",
  col.line = "forestgreen",
  col.alpha = 1,
  col.circle = "gray",
  col.alpha.circle = 0.5,
  leg.lab = NULL,
  size.text.gen = 3.5,
  size.text.env = 3.5,
  size.text.lab = 12,
  size.text.win = 4.5,
  size.line = 0.5,
  axis_expand = 1.2,
  title = TRUE,
  plot_theme = theme_metan(),
  ...
)Arguments
- x
- An object with classes - gge- gtb, or- gytb.
- var
- The variable to plot (useful for - ggeobjects. Defaults to- var = 1the first variable of- x.
- type
- The type of biplot to produce. - Basic biplot. 
- Mean performance vs. stability (gge biplots) or the The Average Tester Coordination view for genotype-trait and genotype-yield*trait biplots. 
- Which-won-where. 
- Discriminativeness vs. representativeness. 
- Examine an environment (or trait/yield*trait combination). 
- Ranking environments (or trait/yield*trait combination). 
- Examine a genotype. 
- Ranking genotypes. 
- Compare two genotypes. 
- Relationship among environments (or trait/yield*trait combination). 
 
- repel
- If - TRUE(default), the text labels repel away from each other and away from the data points.
- repulsion
- Force of repulsion between overlapping text labels. Defaults to - 1.
- max_overlaps
- Exclude text labels that overlap too many things. Defaults to 20. 
- sel_env, sel_gen
- The name of the environment (or trait/yield*trait combination) and genotype to examine when - type = 5and- type = 7, respectively. Must be a string which matches a environment or genotype label.
- sel_gen1, sel_gen2
- The name of genotypes to compare between when - type = 9. Must be a string present in the genotype's name.
- shape.gen, shape.env
- The shape for genotype and environment indication in the biplot. Defaults to - shape.gen = 21(circle) for genotypes and- shape.env = 23(rhombus) for environments. Values must be between- 21-25:- 21(circle),- 22(square),- 23(rhombus),- 24(up triangle), and- 25(low triangle).
- line.type.gen
- The line type to highlith the genotype's vectors. Defaults to - line.type.gen == "dotted.
- size.shape
- The size of the shape (both for genotypes and environments). Defaults to - 2.2.
- size.shape.win
- The size of the shape for winners genotypes when - type = 3. Defaults to- 3.2.
- size.stroke, col.stroke
- The width and color of the border, respectively. Default to - size.stroke = 0.3and- col.stroke = "black". The size of the shape will be- size.shape + size.stroke
- col.gen, col.env, col.line
- Color for genotype/environment labels and for the line that passes through the biplot origin. Defaults to - col.gen = 'blue',- col.env = 'forestgreen', and- col.line = 'forestgreen'.
- col.alpha
- The alpha value for the color. Defaults to - 1. Values must be between- 0(full transparency) to- 1(full color).
- col.circle, col.alpha.circle
- The color and alpha values for the circle lines. Defaults to - 'gray'and- 0.4, respectively.
- leg.lab
- The labs of legend. Defaults to - NULLis- c('Env', 'Gen').
- size.text.gen, size.text.env, size.text.lab
- The size of the text for genotypes, environments and labels, respectively. 
- size.text.win
- The text size to use for winner genotypes where - type = 3and for the two selected genotypes where- type = 9. Defaults to 4.5.
- size.line
- The size of the line in biplots (Both for segments and circles). 
- axis_expand
- multiplication factor to expand the axis limits by to enable fitting of labels. Defaults to 1.2 
- title
- Logical values (Defaults to - TRUE) to include automatically generated information in the plot such as singular value partitioning, scaling and centering.
- plot_theme
- The graphical theme of the plot. Default is - plot_theme = theme_metan(). For more details, see- ggplot2::theme().
- ...
- Currently not used. 
References
Yan, W., and M.S. Kang. 2003. GGE biplot analysis: a graphical tool for breeders, geneticists, and agronomists. CRC Press.
Author
Tiago Olivoto tiagoolivoto@gmail.com


