Regression analysis using common models in seed temperature studies, such as the Gaussian model (Martins, JF, Barroso, AAM, & Alves, PLCA (2017) <doi:10.1590/s0100-83582017350100039>), quadratic (Nunes, AL, Sossmeier, S, Gotz, AP, & Bispo, NB (2018) <doi: 10.17265/2161-6264/2018.06.002>) and others with potential for use, such as those implemented in the 'drc' package (Ritz, C, Baty, F, Streibig, JC, & Gerhard, D (2015). <doi:10.1371/journal.pone.0146021>), in the estimation of the ideal and cardinal temperature for the occurrence of plant seed germination. The functions return graphs with the equations automatically.

Gabriel Danilo Shimizu

seedreg

Regression Analysis for Seed Germination as a Function of
Temperature

Hugo Roldi Guariz

Leandro Simoes Azeredo Goncalves

tml function

<dl><dt>dados</dt>
<dd>Data.frame containing the responses of the evaluations in separate columns side by side and without the columns with the identification of the factors</dd>
<dt>trat</dt>
<dd>Vector of treatments with n repetitions</dd>
<dt>nrep</dt>
<dd>Number of repetitions</dd>
<dt>time</dt>
<dd>Vector containing time</dd></dl>

Arguments

Param: Logistic average time — tml

<dl>

<dt>dados</dt>
<dd>Data.frame containing the responses of the evaluations in separate columns side by side and without the columns with the identification of the factors</dd>


<dt>trat</dt>
<dd>Vector of treatments with n repetitions</dd>


<dt>nrep</dt>
<dd>Number of repetitions</dd>


<dt>time</dt>
<dd>Vector containing time</dd>

</dl>

tml: Param: Logistic average time

Description

Usage

Value

Arguments

Examples