View source: R/stripplot_function.R
STRIPLOT | R Documentation |
Analysis of an experiment conducted in a block randomized design in a strit-plot scheme using fixed effects analysis of variance.
STRIPLOT(
f1,
f2,
block,
response,
norm = "sw",
alpha.f = 0.05,
transf = 1,
textsize = 12,
labelsize = 4,
constant = 0
)
f1 |
Numeric or complex vector with plot levels |
f2 |
Numeric or complex vector with subplot levels |
block |
Numeric or complex vector with blocks |
response |
Numeric vector with responses |
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) |
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.
Gabriel Danilo Shimizu, shimizu@uel.br
Leandro Simoes Azeredo Goncalves
Rodrigo Yudi Palhaci Marubayashi
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.
Practical Nonparametrics Statistics. W.J. Conover, 1999
Ramalho M.A.P., Ferreira D.F., Oliveira A.C. 2000. Experimentacao em Genetica e Melhoramento de Plantas. Editora UFLA.
Scott R.J., Knott M. 1974. A cluster analysis method for grouping mans in the analysis of variance. Biometrics, 30, 507-512.
#===================================
# 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))
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