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 > a small number of trials and large confidence intervals, I would > prefer the function to vary smoothly, but given a large number of > trials and small confidence intervals, I would prefer the function to > lie within the confidence intervals, even if it is not smooth. > > I have attached a postscript file illustrating a data set I would like > to smooth. As the figure shows, for large values of x, I have few > data points, and so the ML estimate of the proportion varies widely, > and the confidence intervals are very large. When I use the > smooth.spline function with a large value of spar (the red line), the > function is not as smooth as desired for large values of x. When I > use a smaller value of spar (the green line), the function fails to > stay within the confidence bounds of the proportions. Is there a > smoothing function for which I can specify upper and lower limits for > the y value for specific values of x? > > Thanks for any suggestions, > > Rose >
smoothProportions.ps
Description: PostScript document
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