Hello,
I have a puzzle that I cannot figure out. I have a data
series that runs from 600 or so up to 2200. What I would
like to do is estimate a kernel density using this series,
and then evaluate the cumulative probabilities of different
values within the range cited above. For example, I might
have X=(500, 623, and 2300), which I use to estimate the
kernel density. But then I would like to know the
probability that x<525, as predicted by the results of the
kernel estimation. I tried creating a new variable
consisting of integers between 500 and 2200 and using the
"at" option with this variable, but I think this changes the
number of points used to estimate the kernel, which is
something I do not want. Thanks in advance for the help!
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