Using the code below, I am trying to get density plot for different distributions.
dens <- apply(df[,c(7,9,12,14,16,18)], 2, density)
plot(NA, xlim=range(sapply(dens, "[", "x")), ylim=range(sapply(dens, "[", "y")))
mapply(lines, dens, col=1:length(dens))
legend("topright", legend=names(dens), fill=1:length(dens),bty = "n",lwd=1, cex=0.7)
The maximum upper limit for all variables is 5. But I got lines exceeded the 5. What do I need to change in my code to fix the plot?
By default, density will extend the range so that the density curve approaches 0 at the extreme. Do you want to restrict the curve to the range of you data? If so, you need use from and to arguments inside density().
x_range <- range(df[,c(7,9,12,14,16,18)])
dens <- apply(df[,c(7,9,12,14,16,18)], 2, density, from = x_range[1], to = x_range[2])
Perhaps it is better to provide a reproducible example.
set.seed(0); X <- matrix(rnorm(300), 100, 3)
## range of your data
x_range <- range(X)
# [1] -2.904899 2.658658
## default handling of `density`
dens <- apply(X, 2, density)
range(sapply(dens, "[[", "x"))
# [1] -3.922346 3.696451
## customized `from` and `to`
dens <- apply(X, 2, density, from = x_range[1], to = x_range[2])
range(sapply(dens, "[[", "x"))
# [1] -2.904899 2.658658
来源：https://stackoverflow.com/questions/39554039/plot-density-extends-xlim-beyond-the-range-of-my-data-why-and-how-to-fix-it