barley

Data from a paper by Arild Vold on response of barley to nitrogen fertilizer

datasets

Additional nonlinear regression functions using self-start (SS) algorithms. One of the functions is the Beta growth function proposed by Yin et al. (2003) <doi:10.1093/aob/mcg029>. There are several other functions with breakpoints (e.g. linear-plateau, plateau-linear, exponential-plateau, plateau-exponential, quadratic-plateau, plateau-quadratic and bilinear), a non-rectangular hyperbola and a bell-shaped curve. Twenty eight (28) new self-start (SS) functions in total. This package also supports the publication 'Nonlinear regression Models and applications in agricultural research' by Archontoulis and Miguez (2015) <doi:10.2134/agronj2012.0506>, a book chapter with similar material <doi:10.2134/appliedstatistics.2016.0003.c15> and a publication by Oddi et. al. (2019) in Ecology and Evolution <doi:10.1002/ece3.5543>. The function 'nlsLMList' uses 'nlsLM' for fitting, but it is otherwise almost identical to 'nlme::nlsList'.In addition, this release of the package provides functions for conducting simulations for 'nlme' and 'gnls' objects as well as bootstrapping. These functions are intended to work with the modeling framework of the 'nlme' package. It also provides four vignettes with extended examples.

Fernando Miguez

nlraa

Nonlinear Regression for Agricultural Applications

Caio dos Santos

José Pinheiro

Douglas Bates

R-core 

barley function

A data frame with 76 rows and 3 columns<dl>
 <dt>year</dt>
<dd>Year when the trial was conducted (1970-1988).</dd> <dt>NF</dt>
<dd>Nitrogen fertilizer (g/m^2).</dd> <dt>yield</dt>
<dd>Grain yield of barley (g/m^2).</dd>
</dl>

Format

Barley response to nitrogen fertilizer — barley

A data frame with 76 rows and 3 columns<dl>
 <dt>year</dt>
<dd>Year when the trial was conducted (1970-1988).</dd>

 <dt>NF</dt>
<dd>Nitrogen fertilizer (g/m^2).</dd>

 <dt>yield</dt>
<dd>Grain yield of barley (g/m^2).</dd>


</dl>

barley: Barley response to nitrogen fertilizer

Description

Usage

Arguments

Format