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shoreline
2011 Sep 05
1
Dealing with NA's in a data matrix
...ist.,data=d)
kruskal.test(s~d$Dist.,data=d)
df<-df.residual(a1)
t<-qt(.975,df)
k<-data.frame(s=seq(10.5,max(s,na.rm=T),1))
p<-predict(a1,k,se=T)
est<-exp(p$fit)
low<-exp(p$fit-t*p$se.fit)
hight<-exp(p$fit-t*p$se.fit)
plot(d$Dist.,s,ylim=c(min(s),max(s)),xlab="Distance from Shorline (m)",
ylab="Length of D. aethiops (mm)", pch=7)
lines(k$s,est,lty=1,col="red")
lines(k$s,low,lty=2,col="blue")
lines(k$s,high,lty=2,col="blue")
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