tomate

An experiment conducted in a randomized block design in a split
plot scheme was developed in order to evaluate the efficiency of
bacterial isolates in the development of tomato cultivars. The
experiment counted a total of 24 trays; each block (in a total
of four blocks), composed of 6 trays, in which each tray contained
a treatment (6 isolates). Each tray was seeded with 4 different
genotypes, each genotype occupying 28 cells per tray. The trays
were randomized inside each block and the genotypes were randomized
inside each tray.

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

tomate function

data.frame containing data set<dl>
 <dt><code>parc</code></dt>
<dd>Categorical vector with plot</dd> <dt><code>subp</code></dt>
<dd>Categorical vector with split-plot</dd> <dt><code>bloco</code></dt>
<dd>Categorical vector with block</dd> <dt><code>resp</code></dt>
<dd>Numeric vector</dd> 
</dl>

Format

Dataset: Tomato data — tomate

data.frame containing data set<dl>
 <dt><code>parc</code></dt>
<dd>Categorical vector with plot</dd>

 <dt><code>subp</code></dt>
<dd>Categorical vector with split-plot</dd>

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

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

 
</dl>

tomate: Dataset: Tomato data

Description

Usage

Arguments

Format

See Also

Examples