bean

An experiment to evaluate the effect of different strains of Azospirillum on common bean cultivar
IPR Sabia was carried out in a greenhouse. A completely randomized design with five strains was used.
of Azospirillum (treatments) and five repetitions. The response variable analyzed was grain production per plant
(g plant-1).

datasets

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

bean function

data.frame containing data set<dl>
 <dt><code>trat</code></dt>
<dd>numeric vector with treatment</dd> <dt><code>prod</code></dt>
<dd>Numeric vector with grain production per plant</dd> 
</dl>

Format

Dataset: Bean — bean

data.frame containing data set<dl>
 <dt><code>trat</code></dt>
<dd>numeric vector with treatment</dd>

 <dt><code>prod</code></dt>
<dd>Numeric vector with grain production per plant</dd>

 
</dl>

bean: Dataset: Bean

Description

Usage

Arguments

Format

See Also

Examples