STRIPLOT: Analysis: DBC experiments in strip-plot

View source: R/stripplot_function.R

STRIPLOTR Documentation

Analysis: DBC experiments in strip-plot

Description

Analysis of an experiment conducted in a block randomized design in a strit-plot scheme using fixed effects analysis of variance.

Usage

STRIPLOT(
  f1,
  f2,
  block,
  response,
  norm = "sw",
  alpha.f = 0.05,
  transf = 1,
  textsize = 12,
  labelsize = 4,
  constant = 0
)

Arguments

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)

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.

Author(s)

Gabriel Danilo Shimizu, shimizu@uel.br

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi

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.

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.

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))

AgroR documentation built on May 29, 2024, 4:18 a.m.