Reputation: 939
Consider the following plot:
library(ggplot2)
dat <- data.frame(x = rnorm(1e6, sd = 0.01))
ggplot(data = dat, aes(x = x)) + geom_density() + ylim(0, 1) + xlim(-5, 5)
A considerable part of the density-curve for ~ density > 0.2 is missing.
Does anyone know a workaround?
Upvotes: 0
Views: 294
Reputation: 174278
You have to use coord_cartesian
to keep all the underlying data points:
library(ggplot2)
dat <- data.frame(x = rnorm(1e6, sd = 0.01))
ggplot(data = dat, aes(x = x)) + geom_density() +
coord_cartesian(xlim = c(-5, 5), ylim = c(0, 1))
Created on 2020-04-27 by the reprex package (v0.3.0)
Upvotes: 1