random.function: Random Draw Generator
In GoFKernel: Testing Goodness-of-Fit with the Kernel Density Estimator

Description Usage Arguments Details Value Note Author(s) See Also Examples

This function generates random draws of a continuous random variable given either its density or its cumulative distribution function.

1	random.function(n = 1, f, lower = -Inf, upper = Inf, kind = "density")

`n`	number of draws, default 1.
`f`	either a density (default) or cumulative distribution function of the random variable.
`lower`	lower limit of the support of the random variable, default -Inf.
`upper`	upper limit of the support of the random variable, default Inf.
`kind`	character string with the function used to identify the distribution, either "density" (default) or "cumulative", as alternative.

random.function uses the method of the inverse of the cdf to generate random draws from f.

A vector of length n with n draws from a random variable with density (or cumulative distribution) function given by f.

random.function is called by dgeometric.test when the corresponding r- function (random generator of f) is not available in the environment. random.function generates random samples from the null hypothesis density function specified in dgeometric.test.

Jose M. Pavia

dgeometric.test, integrate, inverse and support.facto.

1 2	f0 <- function(x) ifelse(x>=0 & x<=1, 2-2*x, 0) random.function(10, f0, lower=0, upper=1, kind="density")

Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
 [1] 0.080654738 0.324932922 0.006656094 0.001281151 0.048393429 0.624668120
 [7] 0.816124253 0.075799431 0.332043682 0.160057994