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calclate
2017 Oct 20
1
create a loop
...n1, c("group"), summarise,
N = length(group),
mean = mean(temp, na.rm=TRUE),
sd = sd(temp),
se = sd / sqrt(N),
variance=sd^2
)
#merge two datasets (dat1 and dat2)
Rep1<-merge(Summary.Rep1, dat2, by="group")
#calclate adjusted mean. variance
Rep1$adj.mean<-(Rep1$total.pop*Rep1$mean)/sum(Rep1$total.pop)
Rep1$adj.var<-(Rep1$variance)/(Rep1$sampled.pop/(1-(Rep1$sampled.pop/Rep1$
total.pop)))
Rep1$over.adj.var<-(Rep1$total.pop/sum(Rep1$total.pop))^2*Rep1$adj.var
Rep1$total<-Rep1$adj.mean*(Rep1$tota...