DBC.glm: Analysis: Randomized block design by glm

In AgroR: Experimental Statistics and Graphics for Agricultural Sciences

Analysis: Randomized block design by glm

Description

Statistical analysis of experiments conducted in a randomized block design using a generalized linear model. It performs the deviance analysis and the effect is tested by a chi-square test. Multiple comparisons are adjusted by Tukey.

Usage

DBC.glm(
  trat,
  block,
  response,
  glm.family = "binomial",
  quali = TRUE,
  alpha.f = 0.05,
  alpha.t = 0.05,
  geom = "bar",
  theme = theme_classic(),
  sup = NA,
  ylab = "Response",
  xlab = "",
  fill = "lightblue",
  angle = 0,
  family = "sans",
  textsize = 12,
  labelsize = 5,
  dec = 3,
  addmean = TRUE,
  errorbar = TRUE,
  posi = "top",
  point = "mean_sd",
  angle.label = 0
)

Arguments

trat	Numerical or complex vector with treatments
block	Numerical or complex vector with blocks
response	Numerical vector containing the response of the experiment. Use cbind(resp, n-resp) for binomial or quasibinomial family.
glm.family	distribution family considered (default is binomial)
quali	Defines whether the factor is quantitative or qualitative (default is qualitative)
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)
geom	Graph type (columns, boxes or segments)
theme	ggplot2 theme (default is theme_classic())
sup	Number of units above the standard deviation or average bar on the graph
ylab	Variable response name (Accepts the expression() function)
xlab	Treatments name (Accepts the expression() function)
fill	Defines chart color (to generate different colors for different treatments, define fill = "trat")
angle	x-axis scale text rotation
family	Font family
textsize	Font size
labelsize	Label size
dec	Number of cells
addmean	Plot the average value on the graph (default is TRUE)
errorbar	Plot the standard deviation bar on the graph (In the case of a segment and column graph) - default is TRUE
posi	Legend position
point	Defines whether to plot mean ("mean"), mean with standard deviation ("mean_sd" - default) or mean with standard error (default - "mean_se").
angle.label	label angle

Author(s)

Gabriel Danilo Shimizu, [e-mail]

Leandro Simoes Azeredo Goncalves

Rodrigo Yudi Palhaci Marubayashi

Examples

data("aristolochia")
attach(aristolochia)
# Assuming the same aristolochia data set, but considering randomized blocks
bloco=rep(paste("B",1:16),5)
resp=resp/2
DBC.glm(trat,bloco, cbind(resp,50-resp), glm.family="binomial")

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