quali_model: Analysis: generalized linear models for factor qualitative

In seedreg: Regression Analysis for Seed Germination as a Function of Temperature

Analysis: generalized linear models for factor qualitative

Description

Performs the deviance analysis for the generalized linear model using binomial or quasibinomial family. The function also returns multiple comparison test with tukey adjustment

Usage

quali_model(
  trat,
  resp,
  method = "glm",
  n = 50,
  family = "binomial",
  ylab = "Germination (%)",
  xlab = expression("Temperature ("^"o" * "C)"),
  reversed = TRUE,
  angle = 0,
  sup = NA,
  theme = theme_classic(),
  font.family = "sans",
  geom = "bar"
)

Arguments

trat	Numerical or complex vector with treatments
resp	Numerical vector containing the response in percentage of the experiment.
method	method for analysis (analysis of variance - aov or analysis by generalized linear model - glm)
n	Number of seeds per repetition
family	a description of the error distribution and link function to be used in the model. For glm this can be a character string naming a family function, a family function or the result of a call to a family function.
ylab	Variable response name (Accepts the expression() function)
xlab	treatments name (Accepts the expression() function)
reversed	Letter order (default is FALSE)
angle	x-axis scale text rotation
sup	Number of units above the standard deviation or average bar on the graph
theme	ggplot2 theme (default is theme_bw())
font.family	Font family (default is sans)
geom	type of graph ("bar" or "point")

Value

The function returns analysis by glm (binomial or quasibinomial family), post-hoc and column graph

Examples

library(seedreg)
data("aristolochia")
attach(aristolochia)
quali_model(trat, germ, n=25, family="quasibinomial")

seedreg documentation built on July 8, 2022, 1:08 a.m.