| Title: | Analysis of Split-Split-Plot Experiments (Analise De Experimentos Em Parcela Subsubdividida) |
|---|---|
| Description: | Performs analysis of split-split plot experiments in both completely randomized and randomized complete block designs. With the results, you can obtain ANOVA, mean tests, and regression analysis (Este pacote faz a analise de experimentos em parcela subsubdivididas no delineamento inteiramente casualizado e delineamento em blocos casualizados. Com resultados e possível obter a ANOVA, testes de medias e análise de regressao) <https://www.expstat.com/pacotes-do-r>. |
| Authors: | Alcinei Mistico Azevedo [aut, cre]
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| Maintainer: | Alcinei Mistico Azevedo <[email protected]> |
| License: | GPL-3 |
| Version: | 0.0.1 |
| Built: | 2024-12-13 06:29:29 UTC |
| Source: | CRAN |
SplitSplitPlot: Performs analysis of split-split-plot experiments(realiza a analise de experimentos em parcela subsubdividida).
Alcinei Mistico Azevedo <[email protected]>
Canal no youtube -> Alcinei Azevedo - Dicas e aulas <https://www.youtube.com/playlist?list=PLvth1ZcREyK4wSzwg-IxvrzaNzSLLrXEB>
BANZATTO, D. A.; KRONKA, S. N. Experimentacao Agricola. 4 ed. Jaboticabal: Funep. 2006. 237 p.
GOMES, F. P. Curso de Estatistica Experimental. 10a ed. Piracicaba: ESALQ/USP. 1982. 430.
Exemplo simulado com um conjunto de dados de um experimento em quadrados latino
data(ex1)data(ex1)
Simulated example dataset for analysis of split-split-plot design (Conjunto de dados simulados de exemplo para a analise do esquema de parcelas subsubdivididas).
Alcinei Mistico Azevedo: [email protected]
<https://www.youtube.com/playlist?list=PLvth1ZcREyK72M3lFl7kBaHiVh5W53mlR>
This enables the analysis of split-split plot experiments. For quantitative factors, regression models are adjusted. For qualitative factors, multiple comparison tests are conducted (Esta possibilita a analise de experimentos em parcela subsubdividida. Para os fatores quantitativos são ajustados modelos de regressao. Para os fatores qualitativos sao feitos testes de comparacoes multiplas).
ssplot(data,design=2,quali=c(TRUE,TRUE,TRUE),sig=0.05,verbose=TRUE)ssplot(data,design=2,quali=c(TRUE,TRUE,TRUE),sig=0.05,verbose=TRUE)
data |
Matrix containing necessarily 5 columns, with the identification of the levels of factor A, factor B, factor C, Replications, and response variable, respectively (Matriz contendo obrigatoriamente nas 5 colunas a identificacao dos niveis do fator A, fator B, fator C, Repeticoes e variavel resposta, reespectivaemnte). |
design |
Indicates the statistical design (indica o delineamento estatistico).
|
quali |
Vector with three logical values (TRUE/FALSE). TRUE indicates that the respective factor is qualitative, performing the mean test. FALSE indicates that the factor is quantitative, and regression analysis is performed (Vetor com tres valores logicos (TRUE/FALSE). TRUE indica que o respectivo fator e qualitativo, realizando-se o teste de medias. FALSE indica que o fator e quantitativo, sendo feita a analise de regressao). |
sig |
Value indicating the significance level (default = 0.05) (valor indicando o nivel de significancia (default = 0.05)). |
verbose |
Logical value (TRUE/FALSE), TRUE displays the analysis results. (Valor logico (TRUE/FALSE), TRUE apresenta os resultados da analise). |
Returns the results of split-split plot experiments (Retorna os resultados de experimentos em parcelas subsubdivididas).
Alcinei Mistico Azevedo, [email protected]
<https://www.youtube.com/playlist?list=PLvth1ZcREyK4wSzwg-IxvrzaNzSLLrXEB>
BANZATTO, D. A.; KRONKA, S. N. Experimentacao Agricola. 4 ed. Jaboticabal: Funep. 2006. 237 p.
GOMES, F. P. Curso de Estatistica Experimental. 10a ed. Piracicaba: ESALQ/USP. 1982. 430.
##Exemplo de experimento data(ex1) ########################################################### #######Analysis considering all qualitative factors ####### ########################################################### #Analysis considering the Completely Randomized Design. #Analise considerando o Delineamento inteiramente casualizado ssplot(ex1,design=1,quali=c(TRUE,TRUE,TRUE)) #Analysis considering the Randomized Complete Block Design #Analise considerando o Delineamento em blocos casualizados ssplot(ex1,design=2,quali=c(TRUE,TRUE,TRUE)) ########################################################### #######Analysis considering two of the factors as quantitative. ####### ########################################################### #' #Analysis considering the Completely Randomized Design. #Analise considerando o Delineamento inteiramente casualizado ssplot(ex1,design=1,quali=c(TRUE,FALSE,FALSE)) #Analysis considering the Randomized Complete Block Design #Analise considerando o Delineamento em blocos casualizados ssplot(ex1,design=2,quali=c(TRUE,FALSE,FALSE))##Exemplo de experimento data(ex1) ########################################################### #######Analysis considering all qualitative factors ####### ########################################################### #Analysis considering the Completely Randomized Design. #Analise considerando o Delineamento inteiramente casualizado ssplot(ex1,design=1,quali=c(TRUE,TRUE,TRUE)) #Analysis considering the Randomized Complete Block Design #Analise considerando o Delineamento em blocos casualizados ssplot(ex1,design=2,quali=c(TRUE,TRUE,TRUE)) ########################################################### #######Analysis considering two of the factors as quantitative. ####### ########################################################### #' #Analysis considering the Completely Randomized Design. #Analise considerando o Delineamento inteiramente casualizado ssplot(ex1,design=1,quali=c(TRUE,FALSE,FALSE)) #Analysis considering the Randomized Complete Block Design #Analise considerando o Delineamento em blocos casualizados ssplot(ex1,design=2,quali=c(TRUE,FALSE,FALSE))