I want to add a fitted line of a quadratic fit to a scatteprlot, but the ordering of the points is somehow messed up.
attach(mtcars)
plot(hp, mpg)
fit <- lm(mpg ~ hp + I(hp^2))
summary(fit)
res <- data.frame(cbind(mpg, fitted(fit), hp))
with(res, plot(hp, mpg))
with(res, lines(hp, V2))
This draws lines all over the place, as opposed to the smooh fit through the scatterplot. I'm sure this is pretty straightforward, but I'm a little stumped.
When you plot a line, all the points are connected in the order they were received. Looks like you want to sort your hp
values before connecting the points
res <- data.frame(cbind(mpg, fitted(fit), hp))
res <- res[order(hp), ]
with(res, plot(hp, mpg))
with(res, lines(hp, V2))
to get
Also, to get a smoother line, you might considering predicting at points other than just the hp
values you observed. After you fit your model, you can do
php <- seq(min(hp), max(hp), length.out=100)
p <- predict(fit, newdata=data.frame(hp=php))
plot(hp, mpg)
lines(php, p)