synthetic distribution built upon set of discrete values
In addition to Bert's answer. If the 0 and/or 100 are hard boundaries (you know that values cannot be outside those values) and you have data points near one or both of the bounds, then the functions in the logspline package may be of use.
On Tue, Oct 9, 2012 at 2:38 PM, Bert Gunter <gunter.berton at gene.com> wrote:
?? Perhaps: ?density ?plot.density -- Bert On Tue, Oct 9, 2012 at 1:06 PM, Thomas Carri? <thocar at free.fr> wrote:
Hello, I have a vector of double values between 0 and 100 I would like to draw a synthetic distribution of this vector to see graphically how the values are distributed between 0 and 100. How can I do that ? Thomas
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