May be is to late, but you have options with ggplot (and dplyr). First if you want only plot a loess line over points, you can try:
library(ggplot2)
load(url("https://www.dropbox.com/s/ud32tbptyvjsnp4/data.R?dl=1"))
ggplot(data, aes(x, y)) +
geom_point() +
geom_smooth(method = "loess", se = FALSE)
Other way, is by predict()
function using a loess fit. For instance I used dplyr functions to add predictions to new column called "loess"
:
library(dplyr)
data %>%
mutate(loess = predict(loess(y ~ x, data = data))) %>%
ggplot(aes(x, y)) +
geom_point(color = "grey50") +
geom_line(aes(y = loess))
Update: Added line of code to load the example data provided
Update2: Correction on geom_smoot()
function name acoording @phi comment