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- data(cars)
- plot(cars)
- lmodel <- loess(cars$dist~cars$speed,span = 0.3, degree = 1)
- lpred<-predict(lmodel, newdata= 5:25,se=TRUE)
- lines(5:25, lpred$fit,col='#000066',lwd=4)
- lines(5:25, lpred$fit - qt(0.975, lpred$df)*lpred$se, lty=2)
- lines(5:25, lpred$fit + qt(0.975, lpred$df)*lpred$se, lty=2)
- #### combination of quantreg with loess
- plot(cars$speed,cars$dist)
- xx <- seq(min(cars$speed),max(cars$speed),1)
- f <- coef(rq(loess(cars$dist~cars$speed,span = 0.3, degree = 1), tau=c(0.1,0.25,0.5,0.75,0.9)) )
- yy <- cbind(1,xx)%*%f
- for(i in 1:length(taus)){
- lines(xx,yy[,i],col = "gray")
- }
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