norm: Error normality test (default is Shapiro-Wilk)
alpha.f: Level of significance of the F test (default is 0.05)
transf: Applies data transformation (default is 1; for log consider 0)
textsize: Font size (default is 12)
labelsize: Label size (default is 4)
constant: Add a constant for transformation (enter value)
Returns
The table of analysis of variance, the test of normality of errors (Shapiro-Wilk, Lilliefors, Anderson-Darling, Cramer-von Mises, Pearson and Shapiro-Francia), the test of homogeneity of variances (Bartlett). The function also returns a standardized residual plot.
Examples
#===================================# Example tomate#===================================# Obs. Consider that the "tomato" experiment is a block randomized design in strip-plot.library(AgroR)data(tomate)with(tomate, STRIPLOT(parc, subp, bloco, resp))
References
Principles and procedures of statistics a biometrical approach Steel, Torry and Dickey. Third Edition 1997
Multiple comparisons theory and methods. Departament of statistics the Ohio State University. USA, 1996. Jason C. Hsu. Chapman Hall/CRC.