I am preparing a plot using ggplot2, and I want to add a trendline that is based on a weighted least squares estimation.
In base graphics this can be done by sending a WLS model to abline
:
mod0 <- lm(ds$dMNP~ds$MNP)
mod1 <- lm(ds$dMNP~ds$MNP, weights = ds$Asset)
symbols(ds$dMNP~ds$MNP, circles=ds$r, inches=0.35)
#abline(mod0)
abline(mod1)
in ggplot2 I set the argument weight
in geom_smooth
but nothing changes:
ggplot(ds, aes(x=MNP, y=dMNP, size=Asset) +
geom_point(shape=21) +
geom_smooth(method = "lm", weight="Asset", color="black", show.legend = FALSE)
this gives me the same plot as
ggplot(ds, aes(x=MNP, y=dMNP, size=Asset) +
geom_point(shape=21) +
geom_smooth(method = "lm", color="black", show.legend = FALSE)
I'm late, but for posterity and clarity, here is the full solution:
ggplot(ds, aes(x = MNP, y = dMNP, size = Asset)) +
geom_point(shape = 21) +
geom_smooth(
method = "lm",
mapping = aes(weight = Asset),
color = "black",
show.legend = FALSE
)
Don't put the weight name in quotes.