R Under development (unstable) (2023-07-06 r84647 ucrt) -- "Unsuffered Consequences" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 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. > # Compare naive and uniform random sampling from beta + eta < 1 > # Uniform sampling is implemented in blim(..., randinit = TRUE). > # > # Last mod: Sep/12/2013, FW > > nsamples <- 12000 > > ## The following naive algorithm samples non-uniformly from beta + eta < 1 > > beta <- runif(nsamples) > eta <- runif(nsamples, max=1 - beta) > > plot(eta ~ beta, pch=".", main="Naive sampling") > > ## The following algorithm samples uniformly from beta + eta < 1 > > beta <- runif(nsamples) > eta <- runif(nsamples) > beta <- ifelse(beta + eta < 1, beta, 1 - beta) > eta <- ifelse(beta + eta < 1, eta, 1 - eta) > > plot(eta ~ beta, pch=".", main="Uniform sampling") > > > proc.time() user system elapsed 0.71 0.07 0.71