| Exam4.3.1 | R Documentation | 
Exam4.3.1 presents the germination count data for 4 Pre-Treatments and 6 Seedlots.
Muhammad Yaseen (myaseen208@gmail.com)
Sami Ullah (samiullahuos@gmail.com)
E.R. Williams, C.E. Harwood and A.C. Matheson (2023). Experimental Design and Analysis for Tree Improvement. CSIRO Publishing (https://www.publish.csiro.au/book/3145/).
DataExam4.3.1
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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