corn

A 3 x 2 factorial experiment was carried out to compare three
new corn hybrids considering the change in sowing density, being
55 thousand or 65 thousand seeds per hectare. For this case,
the researcher is not interested in estimating values for other
densities, but only in verifying if one density differs from
the other. The experiment was carried out according to a
completely randomized design with 4 repetitions of each treatment.

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

corn function

data.frame containing data set<dl>
 <dt><code>A</code></dt>
<dd>Categorical vector with hybrids</dd> <dt><code>B</code></dt>
<dd>Categorical vector with density</dd> <dt><code>resp</code></dt>
<dd>Numeric vector with response</dd> 
</dl>

Format

Dataset: Corn — corn

data.frame containing data set<dl>
 <dt><code>A</code></dt>
<dd>Categorical vector with hybrids</dd>

 <dt><code>B</code></dt>
<dd>Categorical vector with density</dd>

 <dt><code>resp</code></dt>
<dd>Numeric vector with response</dd>

 
</dl>

corn: Dataset: Corn

Description

Usage

Arguments

Format

See Also

Examples