utils_data

clip_read

clip_write

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=metan&version=1.19.0" alt="[Stable]"></a>
These functions allows interacting with the system clipboard. It is possible
read from the clipboard or write a data frame or matrix to the clipboard.<ul>
<li><code>clip_read()</code> read data from the clipboard.</li>
<li><code>clip_write()</code> write data to the clipboard.</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>, Ecovalence
by Wricke (1965), Genotype plus Genotype-Environment (GGE) biplot
analysis by Yan & Kang (2003) <doi:10.1201/9781420040371>, geometric
adaptability index by Mohammadi & Amri (2008)
<doi:10.1007/s10681-007-9600-6>, joint regression analysis by Eberhart
& Russel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>,
genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's
(2004) method, power law residuals (POLAR) statistics by Doring et al.
(2015) <doi:10.1016/j.fcr.2015.08.005>, scale-adjusted coefficient of
variation by Doring & Reckling (2018) <doi:10.1016/j.eja.2018.06.007>,
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) <doi:10.1007/BF00024241>, TOP third
statistic by Fox et al. (1990) <doi:10.1007/BF00040364>. 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

utils_data function

<dl><dt>header</dt>
<dd>If the copied data has a header row for dataFrame, defaults to
<code>TRUE</code>.</dd>
<dt>sep</dt>
<dd>The separator which should be used in the copied output.</dd>
<dt>...</dt>
<dd>Further arguments to be passed to <code><a href="/link/utils%3A%3Aread.table()?package=metan&version=1.19.0" data-mini-rdoc="metan::utils::read.table()">utils::read.table()</a></code>.</dd>
<dt>.data</dt>
<dd>The data that should be copied to the clipboard. Only data frames and matrices are allowed</dd>
<dt>row_names</dt>
<dd>Decides if the output should keep row names or not, defaults
to <code>FALSE</code>.</dd>
<dt>col_names</dt>
<dd>Decides if the output should keep column names or not,
defaults to <code>TRUE</code>.</dd></dl>

Arguments

Tiago Olivoto <a href="/link/tiagoolivoto%40gmail.com?package=metan&version=1.19.0" data-mini-rdoc="metan::tiagoolivoto@gmail.com">tiagoolivoto@gmail.com</a>

Author

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
These functions allows interacting with the system clipboard. It is possible
read from the clipboard or write a data frame or matrix to the clipboard.<ul>
<li><code>clip_read()</code> read data from the clipboard.</li>
<li><code>clip_write()</code> write data to the clipboard.</li>
</ul>

Utilities for data Copy-Pasta — utils_data

<dl>

<dt>header</dt>
<dd>If the copied data has a header row for dataFrame, defaults to
<code>TRUE</code>.</dd>


<dt>sep</dt>
<dd>The separator which should be used in the copied output.</dd>


<dt>...</dt>
<dd>Further arguments to be passed to <code><a href='https://rdrr.io/r/utils/read.table.html'>utils::read.table()</a></code>.</dd>


<dt>.data</dt>
<dd>The data that should be copied to the clipboard. Only data frames and matrices are allowed</dd>


<dt>row_names</dt>
<dd>Decides if the output should keep row names or not, defaults
to <code>FALSE</code>.</dd>


<dt>col_names</dt>
<dd>Decides if the output should keep column names or not,
defaults to <code>TRUE</code>.</dd>

</dl>

Tiago Olivoto <a href='mailto:tiagoolivoto@gmail.com'>tiagoolivoto@gmail.com</a>

utils_data: Utilities for data Copy-Pasta

Description

Usage

Value

Arguments

Author