comparative_model

This function allows the construction of a table and/or graph with the statistical parameters to choose the model from the analysis functions.

Linear and nonlinear regression analysis common in agricultural science articles (Archontoulis & Miguez (2015). <doi:10.2134/agronj2012.0506>). The package includes polynomial, exponential, gaussian, logistic, logarithmic, segmented, non-parametric models, among others. The functions return the model coefficients and their respective p values, coefficient of determination, root mean square error, AIC, BIC, as well as graphs with the equations automatically.

Gabriel Danilo Shimizu

AgroReg

Regression Analysis Linear and Nonlinear for Agriculture

Leandro Simoes Azeredo Goncalves

comparative_model function

<dl><dt>models</dt>
<dd>List with objects of type analysis</dd>
<dt>names_model</dt>
<dd>Names of the models</dd>
<dt>plot</dt>
<dd>Plot in the parameters</dd>
<dt>round.label</dt>
<dd>Round label plot</dd></dl>

Arguments

Author

Analysis: Comparative models — comparative_model

<dl>

<dt>models</dt>
<dd>List with objects of type analysis</dd>


<dt>names_model</dt>
<dd>Names of the models</dd>


<dt>plot</dt>
<dd>Plot in the parameters</dd>


<dt>round.label</dt>
<dd>Round label plot</dd>

</dl>

comparative_model: Analysis: Comparative models

Description

Usage

Value

Arguments

Author