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 p
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 plo
ou to read the posting guide
http://lib.stat.cmu.edu/R/CRAN/ so you can get better answers
From: Yong Wang <[EMAIL PROTECTED]>
To: [EMAIL PROTECTED]
CC: [EMAIL PROTECTED]
Subject: [R] How to plot PDF which is in the form of orthogonal polynomial
Date: Sat, 30 Oct 2004 11:19:16 -0500 (CDT)
Have you considered "cumsum(exp(-polynomial))"?
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 gra
