Below are samples from a kernel density estimated "data" with gaussian
kernel.
I really like this solution of estimation of a kernel because it is nice
and elegant.
fit<-density(data)
rnorm(N, sample(data, size = N, replace = TRUE), fit$bw) #samples from
kernel density estimation
I am however interested in generating a kernel density estimate with
an Epanechnikov kernel
fit<-density(data,kernel = "epanechnikov")
#is there a quick way to compute the samples and INCORPORATING THE
BANDWIDTH of the #kernel density estimate
Yours sincerely,
Justin
*I check my email at 9AM and 4PM everyday*
*If you have an EMERGENCY, contact me at +447938674419(UK) or
+60125056192(Malaysia)*
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