soybean

An experiment was carried out to evaluate the grain yield (kg ha-1) of ten different
commercial soybean cultivars in the municipality of Londrina/Parana. The experiment was carried out in the design of
randomized complete blocks with four replicates per 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

soybean function

data.frame containing data set<dl>
 <dt><code>cult</code></dt>
<dd>numeric vector with treatment</dd> <dt><code>bloc</code></dt>
<dd>numeric vector with block</dd> <dt><code>prod</code></dt>
<dd>Numeric vector with grain yield</dd> 
</dl>

Format

Dataset: Soybean — soybean

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

 <dt><code>bloc</code></dt>
<dd>numeric vector with block</dd>

 <dt><code>prod</code></dt>
<dd>Numeric vector with grain yield</dd>

 
</dl>

soybean: Dataset: Soybean

Description

Usage

Arguments

Format

See Also

Examples