Brett Magill <magillb <at> sbcglobal.net> writes: > > Are there any R packages that could be used to generate random data given a > set of parameters? Or, if not a package, how would one generate such data? > What I would like to do is simulate some sample data for a regression model > given a set of population covariances and distribution parameters to be used > in a MC simulation. > > Thanks for any tips. >
This is very definitely doable, don't know of any end-user packages to do it. Simple example: generate data according to n=100 X ~ Uniform(0,10) Y ~ Normal(1+2*X,sigma=0.1) set.seed(1001) ## for reproducibility n <- 100 x <- runif(n,0,10) y <- rnorm(n,mean=1+2*x,sigma=0.1) You can look at chapter 5 of http://www.zoology.ufl.edu/bolker/emdbook/book.pdf (or buy the book) for more information ... cheers Ben Bolker ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
