dt_potato

Canopy and Green Leaf Index for a potato trial arranged in a p-rep design.

datasets

Provides tools for flexible non-linear least squares model fitting using general-purpose optimization techniques. The package supports a variety of optimization algorithms, including those provided by the 'optimx' package, making it suitable for handling complex non-linear models. Features include parallel processing support via the 'future' and 'foreach' packages, comprehensive model diagnostics, and visualization capabilities. Implements methods described in Nash and Varadhan (2011, <doi:10.18637/jss.v043.i09>).

Johan Aparicio

flexFitR

Flexible Non-Linear Least Square Model Fitting

Jeffrey Endelman

University of Wisconsin Madison 

dt_potato function

A tibble with 1372 rows and 8 variables:<dl>
 <dt>Trial</dt>
<dd>chr trial name</dd> <dt>Plot</dt>
<dd>dbl denoting the unique plot id</dd> <dt>Row</dt>
<dd>dbl denoting the row coordinate</dd> <dt>Range</dt>
<dd>dbl denoting range coordinate</dd> <dt>gid</dt>
<dd>chr denoting the genotype id</dd> <dt>DAP</dt>
<dd>dbl denoting Days after planting</dd> <dt>Canopy</dt>
<dd>dbl Canopy UAV-Derived</dd> <dt>GLI</dt>
<dd>dbl Green Leaf Index UAV-Derived</dd>
</dl>

Format

Drone-derived data from a potato breeding trial — dt_potato

A tibble with 1372 rows and 8 variables:<dl>
 <dt>Trial</dt>
<dd>chr trial name</dd>

 <dt>Plot</dt>
<dd>dbl denoting the unique plot id</dd>

 <dt>Row</dt>
<dd>dbl denoting the row coordinate</dd>

 <dt>Range</dt>
<dd>dbl denoting range coordinate</dd>

 <dt>gid</dt>
<dd>chr denoting the genotype id</dd>

 <dt>DAP</dt>
<dd>dbl denoting Days after planting</dd>

 <dt>Canopy</dt>
<dd>dbl Canopy UAV-Derived</dd>

 <dt>GLI</dt>
<dd>dbl Green Leaf Index UAV-Derived</dd>


</dl>

dt_potato: Drone-derived data from a potato breeding trial

Description

Usage

Arguments

Format