Consider for example the following:
library(polynom) b. <- polynomial(1:5)
x <- seq(-2, 2, length=101) b.p <- predict(b., x)
plot(x, b.p) plot(x, exp(-b.p))
cdf <- cumsum(exp(-b.p))
plot(cdf/cdf[101])
hope this helps. spencer graves
Yong Wang wrote:
Dear all
using the orthogonal polymial on a set of data, I get an approximate density
which basically is in the form: exp(-polynomial),
as you know, the parameters are the converged coeeficients.
obviously, It is hard, if not impossible, to use the inverse CDF method to get
a sample and then plot density. then how can I plot the approximated density in
order to have a graphical comparision with the real data's histogram.
any hint is appreciated
thanks
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