quali_model {seedreg} | R Documentation |
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")