# NOT RUN {
data(DataExam8.1)
library(tidyverse)
library(emmeans)
library(lme4)
fm8.8<- lmer(formula=
Dbh~1+Replication+Column+Province+(1|Replication:Row)+(1|Replication:Column)
,data = DataExam8.1
,REML = TRUE
,control = lmerControl()
,start = NULL
, verbose = 0L
#, subset
#, weights
#, na.action
#,offset
, contrasts = NULL
, devFunOnly = FALSE)
anova(fm8.8)
summary(fm8.8)
anova(fm8.8, ddf = "Kenward-Roger")
emmeans::emmeans(fm8.8,specs ="Replication")
emmeans::emmeans(fm8.8,specs ="Column")
emmeans::emmeans(fm8.8,specs ="Province")
RCB1<- aov(Dbh~Province+Replication,data = DataExam8.1)
RCB<- emmeans::emmeans(RCB1,specs="Province")
Mixed<- emmeans::emmeans(fm8.8,specs ="Province")
table8.9<-data.frame(as.data.frame(summary(RCB))[c('emmean', 'SE')],
as.data.frame(summary(Mixed))[c('emmean', 'SE')])
colnames(table8.9)<- c("RCB(Mean)","RCB(SE)", "Mixed(Mean)", "Mixed(SE)")
print(table8.9)
# }
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