plot_tonetest

Sometimes the researcher wants to test whether the treatment mean is greater than/equal to or less than a reference value. For example, I want to know if the average productivity of my treatment is higher than the average productivity of a given country. For this, this function allows comparing the means with a reference value using the t test.

Performs the analysis of completely randomized experimental designs (CRD), randomized blocks (RBD) and Latin square (LSD), experiments in double and triple factorial scheme (in CRD and RBD), experiments in subdivided plot scheme (in CRD and RBD), subdivided and joint analysis of experiments in CRD and RBD, linear regression analysis, test for two samples. The package performs analysis of variance, ANOVA assumptions and multiple comparison test of means or regression, according to Pimentel-Gomes (2009, ISBN: 978-85-7133-055-9), nonparametric test (Conover, 1999, ISBN: 0471160687), test for two samples, joint analysis of experiments according to Ferreira (2018, ISBN: 978-85-7269-566-4) and generalized linear model (glm) for binomial and Poisson family in CRD and RBD (Carvalho, FJ (2019), <doi:10.14393/ufu.te.2019.1244>). It can also be used to obtain descriptive measures and graphics, in addition to correlations and creative graphics used in agricultural sciences (Agronomy, Zootechnics, Food Science and related areas).

Gabriel Danilo Shimizu

AgroR

Experimental Statistics and Graphics for Agricultural Sciences

Rodrigo Yudi Palhaci Marubayashi

Leandro Simoes Azeredo Goncalves

plot_tonetest function

<dl><dt>tonetest</dt>
<dd>t.one.test object</dd>
<dt>alpha</dt>
<dd>confidence level.</dd></dl>

Arguments

Author

Graphics: Graphic for t test to compare means with a reference value — plot_tonetest

<dl>

<dt>tonetest</dt>
<dd>t.one.test object</dd>


<dt>alpha</dt>
<dd>confidence level.</dd>

</dl>

plot_tonetest: Graphics: Graphic for t test to compare means with a reference value

Description

Usage

Value

Arguments

Author

Examples