R help - Mar 2017 - Kernel Density Estimation: Generate a sample from Epanechnikov Kernel

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

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