| plot.mtsi | R Documentation | 
Makes a radar plot showing the multitrait stability index proposed by Olivoto et al. (2019)
## S3 method for class 'mtsi'
plot(
  x,
  SI = 15,
  type = "index",
  position = "fill",
  genotypes = "selected",
  title = TRUE,
  radar = TRUE,
  arrange.label = FALSE,
  x.lab = NULL,
  y.lab = NULL,
  size.point = 2.5,
  size.line = 0.7,
  size.text = 10,
  width.bar = 0.75,
  n.dodge = 1,
  check.overlap = FALSE,
  invert = FALSE,
  col.sel = "red",
  col.nonsel = "black",
  legend.position = "bottom",
  ...
)
x | 
 An object of class   | 
SI | 
 An integer (0-100). The selection intensity in percentage of the total number of genotypes.  | 
type | 
 The type of the plot. Defaults to   | 
position | 
 The position adjustment when   | 
genotypes | 
 When   | 
title | 
 Logical values (Defaults to   | 
radar | 
 Logical argument. If true (default) a radar plot is generated
after using   | 
arrange.label | 
 Logical argument. If   | 
x.lab, y.lab | 
 The labels for the axes x and y, respectively. x label is set to null when a radar plot is produced.  | 
size.point | 
 The size of the point in graphic. Defaults to 2.5.  | 
size.line | 
 The size of the line in graphic. Defaults to 0.7.  | 
size.text | 
 The size for the text in the plot. Defaults to 10.  | 
width.bar | 
 The width of the bars if   | 
n.dodge | 
 The number of rows that should be used to render the x labels. This is useful for displaying labels that would otherwise overlap.  | 
check.overlap | 
 Silently remove overlapping labels, (recursively) prioritizing the first, last, and middle labels.  | 
invert | 
 Logical argument. If   | 
col.sel | 
 The colour for selected genotypes. Defaults to   | 
col.nonsel | 
 The colour for nonselected genotypes. Defaults to   | 
legend.position | 
 The position of the legend.  | 
... | 
 Other arguments to be passed from    | 
An object of class gg, ggplot.
Tiago Olivoto tiagoolivoto@gmail.com
Olivoto, T., A.D.C. L\'ucio, J.A.G. da silva, B.G. Sari, and M.I. Diel. 2019. Mean performance and stability in multi-environment trials II: Selection based on multiple traits. Agron. J. (in press).
library(metan)
mtsi_model <- waasb(data_ge, ENV, GEN, REP, resp = c(GY, HM))
mtsi_index <- mtsi(mtsi_model)
plot(mtsi_index)
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