plot.mtmps | R Documentation |
Makes a radar plot showing the multitrait stability index proposed by Olivoto et al. (2019)
## S3 method for class 'mtmps' 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 computed with |
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) model <- mps(data_ge, env = ENV, gen = GEN, rep = REP, resp = everything()) selection <- mtmps(model) plot(selection)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.