an object of class
'density' for bandwidth selection
(if bw is not explicitly provided as argument)
weights
vector of weights. Same length as
data. Default weights=NULL - in this case
equal weights for each point
data
underlying sample of fhat
kernel
kernel choice for fhat. Default:
kernel='Gaussian'. See
density for other options.
bw
choice of bandwidth. Default:
bw=fhat$bw. Again see density
for other options.
Examples
set.seed(1923)
xx <- c(rnorm(100, mean = 2), runif(100))
aa <- density(xx)
plot(aa)
xx_sample <- rdensity(n = 1000, fhat = aa, data = xx)
lines(density(xx_sample), col = 2)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(LICORS)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LICORS/rdensity.Rd_%03d_medium.png", width=480, height=480)
> ### Name: rdensity
> ### Title: Generate random sample from density() or wKDE
> ### Aliases: rdensity
> ### Keywords: # distribution nonparametric
>
> ### ** Examples
>
> set.seed(1923)
> xx <- c(rnorm(100, mean = 2), runif(100))
> aa <- density(xx)
> plot(aa)
> xx_sample <- rdensity(n = 1000, fhat = aa, data = xx)
> lines(density(xx_sample), col = 2)
>
>
>
>
>
> dev.off()
null device
1
>