theme_metan

theme_metan_minimal

transparent_color

Control the grid lines in plot. Defaults to <code>"both"</code> (x and
y major grids). Allows also <code>grid = "x"</code> for grids in x axis only,
<code>grid = "y"</code> for grid in y axis only, or <code>grid = "none"</code> for no
grids.

grid

col.grid

The color for the panel background.

color.background

<ul>
<li><code>theme_metan()</code>: Theme with a gray background and major grids.</li>
<li><code>theme_metan_minimal()</code>: A minimalistic theme with half-open frame, white
background, and no grid. For more details see <code><a rd-options="ggplot2" href="/link/theme?package=metan&version=1.2.1&to=ggplot2" data-mini-rdoc="ggplot2::theme">theme</a></code>.</li>
<li><code>transparent_color()</code>: A helper function to return a transparent color with Hex value o<code></code><code></code><code></code>f "#000000FF"</li>
</ul>

Performs stability analysis of multi-environment
trial data using parametric and non-parametric methods. Parametric
methods includes Additive Main Effects and Multiplicative Interaction
(AMMI) analysis by Gauch (2013) <doi:10.2135/cropsci2013.04.0241>,
Genotype plus Genotype-Environment (GGE) biplot analysis by Yan & Kang
(2003) <doi:10.1201/9781420040371>, joint Regression Analysis by
Eberhart & Russel (1966)
(<doi:10.2135/cropsci1966.0011183X000600010011x>), ecovalence by
Wricke (1965), genotypic confidence index by Annicchiarico (1992),
Murakami & Cruz's (2004) method <doi:10.12702/1984-7033.v04n01a02>,
stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>,
weighted average of absolute scores by Olivoto et al. (2019a)
<doi:10.2134/agronj2019.03.0220>, and multi-trait stability index by
Olivoto et al. (2019b) <doi:10.2134/agronj2019.03.0221>.
Non-parametric methods includes superiority index by Lin & Binns
(1988) <doi:10.4141/cjps88-018>, nonparametric measures of phenotypic
stability by Huehn (1990)
<https://link.springer.com/article/10.1007/BF00024241>, TOP third
statistic by Fox et al. (1990) <doi:10.1007/BF00040364>, geometric
adaptability index described by Shahbazi (2019)
<doi:10.1016/j.scienta.2019.04.047>. Functions for computing
biometrical analysis such as path analysis, canonical correlation,
partial correlation, clustering analysis, and tools for inspecting,
manipulating, summarizing and plotting typical multi-environment
trial data are also provided.

Tiago Olivoto

metan

Multi Environment Trials Analysis

theme_metan function

<ul>
<li><code>theme_metan()</code>: Theme with a gray background and major grids.</li>
<li><code>theme_metan_minimal()</code>: A minimalistic theme with half-open frame, white
background, and no grid. For more details see <code><a rd-options='ggplot2' href='theme'>theme</a></code>.</li>
<li><code>transparent_color()</code>: A helper function to return a transparent color with Hex value o<code></code><code></code><code></code>f "#000000FF"</li>
</ul>

theme_metan: Personalized theme for ggplot2-based graphics

Description

Usage

Arguments