DBCT: Analysis: Randomized block design evaluated over time

In AgroR: Experimental Statistics and Graphics for Agricultural Sciences

Analysis: Randomized block design evaluated over time

Description

Function of the AgroR package for analysis of experiments conducted in a balanced qualitative, single-factorial randomized block design with multiple assessments over time, however without considering time as a factor.

Usage

DBCT(
  trat,
  block,
  time,
  response,
  alpha.f = 0.05,
  alpha.t = 0.05,
  mcomp = "tukey",
  geom = "bar",
  theme = theme_classic(),
  fill = "gray",
  ylab = "Response",
  xlab = "Independent",
  textsize = 12,
  labelsize = 5,
  pointsize = 4.5,
  error = TRUE,
  family = "sans",
  sup = 0,
  addmean = FALSE,
  posi = c(0.1, 0.8),
  legend = "Legend",
  ylim = NA,
  width.bar = 0.2,
  size.bar = 0.8,
  dec = 3,
  xnumeric = FALSE,
  all.letters = FALSE
)

Arguments

trat	Numerical or complex vector with treatments
block	Numerical or complex vector with blocks
time	Numerical or complex vector with times
response	Numerical vector containing the response of the experiment.
alpha.f	Level of significance of the F test (default is 0.05)
alpha.t	Significance level of the multiple comparison test (default is 0.05)
mcomp	Multiple comparison test (Tukey (default), LSD ("lsd"), Scott-Knott ("sk"), Duncan ("duncan") and Friedman ("fd"))
geom	Graph type (columns - "bar" or segments "point")
theme	ggplot2 theme (default is theme_classic())
fill	Defines chart color (to generate different colors for different treatments, define fill = "trat")
ylab	Variable response name (Accepts the expression() function)
xlab	Treatments name (Accepts the expression() function)
textsize	Font size of the texts and titles of the axes
labelsize	Font size of the labels
pointsize	Point size
error	Add error bar (SD)
family	Font family
sup	Number of units above the standard deviation or average bar on the graph
addmean	Plot the average value on the graph (default is TRUE)
posi	Legend position
legend	Legend title
ylim	Define a numerical sequence referring to the y scale. You can use a vector or the 'seq' command.
width.bar	width error bar
size.bar	size error bar
dec	Number of cells
xnumeric	Declare x as numeric (default is FALSE)
all.letters	Adds all label letters regardless of whether it is significant or not.

Details

The p-value of the analysis of variance, the normality test for Shapiro-Wilk errors, the Bartlett homogeneity test of variances, the independence of Durbin-Watson errors and the multiple comparison test (Tukey, Scott-Knott, LSD or Duncan).

Value

The function returns the p-value of Anova, the assumptions of normality of errors, homogeneity of variances and independence of errors, multiple comparison test, as well as a line graph

Note

The ordering of the graph is according to the sequence in which the factor levels are arranged in the data sheet. The bars of the column and segment graphs are standard deviation.

Author(s)

Gabriel Danilo Shimizu, [e-mail]

Leandro Simoes Azeredo Gonçalves

Rodrigo Yudi Palhaci Marubayashi

References

Principles and procedures of statistics a biometrical approach Steel & Torry & 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.

See Also

DBC, DICT, DQLT

Examples

rm(list=ls())
data(simulate2)
attach(simulate2)

#===================================
# default
#===================================
DBCT(trat, bloco, tempo, resp)
DBCT(trat, bloco, tempo, resp,fill="rainbow")

#===================================
# segment chart
#===================================
DBCT(trat, bloco, tempo, resp, geom="point")

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