SplitSplitPlot (version 0.0.1)

ssplot: Analysis of split-split plot experiment(Analise de experimento em parcela subsubdividida)

Description

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).

Usage

ssplot(data,design=2,quali=c(TRUE,TRUE,TRUE),sig=0.05,verbose=TRUE)

Value

Returns the results of split-split plot experiments (Retorna os resultados de experimentos em parcelas subsubdivididas).

Arguments

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).

• design=1 Completely randomized design (Delineamento inteiramente casualizado).

• design=2 Randomized complete block design (Delineamento em blocos casualizados).

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).

Author

Alcinei Mistico Azevedo,

References

<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.

Examples

# \donttest{
##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))
# }