因此,使用可重现的数据:
set.seed(1)
phuong <- data.frame(Eeff = rnorm(100,31))
phuong$Neff <- rnorm(100,19.7 + .36*phuong$Eeff)
# Create the lm object ahead of time
lm1 <- lm(Neff ~ Eeff, data = phuong)
# Create the character string that you want to print
tp <- sprintf("%s=%.1f + %.2f %s", all.vars(formula(lm1))[1],
coef(lm1)[1], coef(lm1)[2], all.vars(formula(lm1))[2])
# Change the mypanel function to use the lm1 object
mypanel<-function(x,y,...){
panel.xyplot(x, y, ...)
panel.abline(lm1)
panel.text(30,33,labels=tp)
}
library(lattice)
# and off we go.
xyplot(Neff~Eeff,data=phuong,panel=mypanel,
col="black",
pch=18,xlab="Energy efficiency (%)",
ylab = "Nitrogen efficiency (%)", main="(a)")