search for: hist_z

Hi all, I'm looking to add a "density" smoother on top of a hist when Freq=T. In order to do this I can use the relation between count and density, but I would like to know if there is a way for me to predict it upfront. Here is an example: set.seed(242) z = rnorm(30) hist_z <- hist(z) hist_z$counts / hist_z$density # the relation is 15 # why is this 15 ?? # So I can now do: hist(z) y <- density(z)$y * max(hist_z$counts / hist_z$density, na.rm = T) # this is what I hope to find without using hist, and only using density x <- density(z)$x lines(x = x, y = y, c...