If you use logspline estimation (logspline package) instead of kernel density estimation then this is simple as there are cumulative area functions for logspline fits.
If you need to do this with kernel density estimates then you can just find the area over your region for the kernel centered at each data point and average those values together to get the area under the entire density estimate.
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Duke
Sent: Friday, January 27, 2012 3:45 PM
To: r-help at r-project.org
Subject: [R] percentage from density()
I know that density function will give a estimated density for a give
dataset. Now from that I want to have a percentage estimation for a
certain range. For examle:
y = density(c(-20,rep(0,98),20))
Now if I want to know the percentage of data lying in (-20,2). Basically
it should be the area of the curve from -20 to 2. Anybody knows a simple
function to do it?
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