mirtilo

An experiment was carried out in order to evaluate the rooting
(resp1) of blueberry cuttings as a function of the cutting size
(Treatment Colume). This experiment was repeated three times
(Location column) and a randomized block design with four
replications was adopted.

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

mirtilo function

data.frame containing data set<dl>
 <dt><code>trat</code></dt>
<dd>Categorical vector with treatments</dd> <dt><code>exp</code></dt>
<dd>Categorical vector with experiment</dd> <dt><code>bloco</code></dt>
<dd>Categorical vector with block</dd> <dt><code>resp</code></dt>
<dd>Numeric vector</dd> 
</dl>

Format

Dataset: Cutting blueberry data — mirtilo

data.frame containing data set<dl>
 <dt><code>trat</code></dt>
<dd>Categorical vector with treatments</dd>

 <dt><code>exp</code></dt>
<dd>Categorical vector with experiment</dd>

 <dt><code>bloco</code></dt>
<dd>Categorical vector with block</dd>

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

 
</dl>

mirtilo: Dataset: Cutting blueberry data

Description

Usage

Arguments

Format

See Also

Examples