I have a time series of univariate distributions that I'd like to visualize more compactly. i know how to add multiple density functions to the same set of axes, but I'd like to vertically offset each function to get show the evolution of the distribution through time.
ggplot is great for this type of stuff (here just using the same distro):
library(ggplot2)
ggplot(df, aes(x=x, y=values, color=ind)) + geom_line() + facet_wrap(~ ind, ncol=1)
And the toy data I used:
df <- stack(setNames(replicate(5, dnorm((-30:30)/10), s=F), letters[1:5]))
df$x <- ave(df$value, df$ind, FUN=seq_along)
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