It is not entirely clear what you are using for y values in
smooth.spline,
but it would appear that it is just the point estimates. I would
suggest
using instead -- at each x value -- a few equally spaced quantiles of
the estimated proportions. Implicitly, smooth.spline expects to be
Sorry, forgot to attach the graph.
On 8/10/07, Rose Hoberman [EMAIL PROTECTED] wrote:
I am looking for a function that can fit a smooth function to a vector
of estimated proportions, such that the smoothed value is within
specified confidence bounds of each proportion. In other words, given
I am looking for a function that can fit a smooth function to a vector
of estimated proportions, such that the smoothed value is within
specified confidence bounds of each proportion. In other words, given
a small number of trials and large confidence intervals, I would
prefer the function to
