library(car)
library(dae)
library(dplyr)
library(emmeans)
library(ggplot2)
library(lmerTest)
library(magrittr)
library(predictmeans)
data(DataExam4.3)
# Pg. 57
fm4.4 <-
aov(
formula = percent ~ repl + treat*seedlot
, data = DataExam4.3 %>%
filter(treat != "control")
)
# Pg. 57
anova(fm4.4)
model.tables(x = fm4.4, type = "means", se = TRUE)
emmeans(object = fm4.4, specs = ~ treat)
emmeans(object = fm4.4, specs = ~ seedlot)
emmeans(object = fm4.4, specs = ~ treat * seedlot)
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