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![[Stable]](figures/lifecycle-stable.svg?package=metan&version=1.19.0)
Plot scores of genotypes and environments in different graphical interpretations.
Biplots type 1 and 2 are well known in AMMI analysis. In the plot type 3, the scores of both genotypes and environments are plotted considering the response variable and the WAASB, an stability index that considers all significant principal component axis of traditional AMMI models or all principal component axis estimated with BLUP-interaction effects (Olivoto et al. 2019). Plot type 4 may be used to better understand the well known 'which-won-where' pattern, facilitating the recommendation of appropriate genotypes targeted for specific environments, thus allowing the exploitation of narrow adaptations.
plot_scores(
x,
var = 1,
type = 1,
first = "PC1",
second = "PC2",
repel = TRUE,
repulsion = 1,
max_overlaps = 20,
polygon = FALSE,
title = TRUE,
plot_theme = theme_metan(),
axis.expand = 1.1,
x.lim = NULL,
y.lim = NULL,
x.breaks = waiver(),
y.breaks = waiver(),
x.lab = NULL,
y.lab = NULL,
shape.gen = 21,
shape.env = 23,
size.shape.gen = 2.2,
size.shape.env = 2.2,
size.bor.tick = 0.1,
size.tex.lab = 12,
size.tex.gen = 3.5,
size.tex.env = 3.5,
size.line = 0.5,
size.segm.line = 0.5,
col.bor.gen = "black",
col.bor.env = "black",
col.line = "black",
col.gen = "blue",
col.env = "forestgreen",
col.alpha.gen = 1,
col.alpha.env = 1,
col.segm.gen = transparent_color(),
col.segm.env = "forestgreen",
highlight = NULL,
col.highlight = "red",
col.alpha.highlight = 1,
size.tex.highlight = 5.5,
size.shape.highlight = 3.2,
leg.lab = c("Env", "Gen"),
line.type = "solid",
line.alpha = 0.9,
resolution = deprecated(),
file.type = "png",
export = FALSE,
file.name = NULL,
width = 8,
height = 7,
color = TRUE,
...
)An object of class gg, ggplot.
An object fitted with the functions performs_ammi(),
waas(), waas_means(), or waasb().
The variable to plot. Defaults to var = 1 the first
variable of x.
type of biplot to produce
type = 1 The default. Produces an AMMI1 biplot (Y x PC1) to make
inferences related to stability and productivity.
type = 2 Produces an AMMI2 biplot (PC1 x PC2) to make inferences
related to the interaction effects. Use the arguments first or
second to change the default IPCA shown in the plot.
type = 3 Valid for objects of class waas or waasb,
produces a biplot showing the GY x WAASB.
type = 4 Produces a plot with the Nominal yield x Environment PC.
The IPCA to be shown in the first (x) and second (y)
axis. By default, IPCA1 is shown in the x axis and IPCA2 in the
y axis. For example, use second = "PC3" to shown the IPCA3 in
the y axis.
If TRUE (default), the text labels repel away from each
other and away from the data points.
Force of repulsion between overlapping text labels. Defaults
to 1.
Exclude text labels that overlap too many things. Defaults to 20.
Logical argument. If TRUE, a polygon is drawn when
type = 2.
Logical values (Defaults to TRUE) to include
automatically generated titles
The graphical theme of the plot. Default is
plot_theme = theme_metan(). For more details, see
ggplot2::theme().
Multiplication factor to expand the axis limits by to
enable fitting of labels. Default is 1.1.
The range of x and y axes, respectively. Default is
NULL (maximum and minimum values of the data set). New values can be
inserted as x.lim = c(x.min, x.max) or y.lim = c(y.min, y.max).
The breaks to be plotted in the x and y axes,
respectively. Defaults to waiver() (automatic breaks). New values
can be inserted, for example, as x.breaks = c(0.1, 0.2, 0.3) or
x.breaks = seq(0, 1, by = 0.2)
The label of x and y axes, respectively. Defaults to
NULL, i.e., each plot has a default axis label. New values can be
inserted as x.lab = 'my label'.
The shape for genotypes and environments
indication in the biplot. Default is 21 (circle) for genotypes and
23 (diamond) for environments. Values must be between 21-25:
21 (circle), 22 (square), 23 (diamond), 24 (up
triangle), and 25 (low triangle).
The size of the shapes for genotypes and
environments respectively. Defaults to 2.2.
The size of tick of shape. Default is 0.1. The
size of the shape will be max(size.shape.gen, size.shape.env) + size.bor.tick
The size of the text for axis labels (Defaults to 12), genotypes labels, and environments labels (Defaults to 3.5).
The size of the line that indicate the means in the biplot.
Default is 0.5.
The size of the segment that start in the origin of the
biplot and end in the scores values. Default is 0.5.
The color of the shape's border for genotypes and environments, respectively.
The color of the line that indicate the means in the biplot.
Default is 'gray'
The shape color for genotypes (Defaults to
'blue') and environments ('forestgreen'). Must be length
one or a vector of colors with the same length of the number of
genotypes/environments.
The alpha value for the color for
genotypes and environments, respectively. Defaults to NA. Values must be
between 0 (full transparency) to 1 (full color).
The color of segment for genotypes (Defaults
to transparent_color()) and environments (Defaults to 'forestgreen'),
respectively. Valid arguments for plots with type = 1 or type = 2 graphics.
Genotypes/environments to be highlight in the plot. Defaults
to NULL.
The color for shape/labels when a value is provided in
highlight. Defaults to "red".
The alpha value for the color of the highlighted
genotypes. Defaults to 1.
The size of the text for the highlighted genotypes.
Defaults to 5.5.
The size of the shape for the highlighted
genotypes. Defaults to 3.2.
The labs of legend. Default is Gen and Env.
The type of the line that indicate the means in the biplot.
Default is 'solid'. Other values that can be attributed are:
'blank', no lines in the biplot, 'dashed', 'dotted', 'dotdash', 'longdash', and 'twodash'.
The alpha value that combine the line with the background
to create the appearance of partial or full transparency. Default is
0.4. Values must be between '0' (full transparency) to '1' (full
color).
deprecated
The type of file to be exported. Currently recognises the extensions eps/ps, tex, pdf, jpeg, tiff, png (default), bmp, svg and wmf (windows only).
Export (or not) the plot. Default is FALSE. If TRUE, calls the
ggplot2::ggsave() function.
The name of the file for exportation, default is
NULL, i.e. the files are automatically named.
The width 'inch' of the plot. Default is 8.
The height 'inch' of the plot. Default is 7.
Should type 4 plot have colors? Default to TRUE.
Currently not used.
Tiago Olivoto tiagoolivoto@gmail.com
Olivoto, T., A.D.C. Lúcio, J.A.G. da silva, V.S. Marchioro, V.Q. de Souza, and E. Jost. 2019. Mean performance and stability in multi-environment trials I: Combining features of AMMI and BLUP techniques. Agron. J. 111:2949-2960. tools:::Rd_expr_doi("10.2134/agronj2019.03.0220")
plot_eigen()
# \donttest{
library(metan)
# AMMI model
model <- waas(data_ge,
env = ENV,
gen = GEN,
rep = REP,
resp = everything())
# GY x PC1 for variable GY (default plot)
plot_scores(model)
# PC1 x PC2 (variable HM)
#
plot_scores(model,
polygon = TRUE, # Draw a convex hull polygon
var = "HM", # or var = 2 to select variable
highlight = c("G1", "G2"), # Highlight genotypes 2 and 3
type = 2) # type of biplot
# PC3 x PC4 (variable HM)
# Change size of plot fonts and colors
# Minimal theme
plot_scores(model,
var = "HM",
type = 2,
first = "PC3",
second = "PC4",
col.gen = "black",
col.env = "gray",
col.segm.env = "gray",
size.tex.gen = 5,
size.tex.env = 2,
size.tex.lab = 16,
plot_theme = theme_metan_minimal())
# WAASB index
waasb_model <- waasb(data_ge, ENV, GEN, REP, GY)
# GY x WAASB
# Highlight genotypes 2 and 8
plot_scores(waasb_model,
type = 3,
highlight = c("G2", "G8"))
# }
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