Hi: Here's a way to do it with mdply() in the plyr package:
# Set up a two column data frame of parameters, whose column names are mean and sd: pars <- data.frame(mean = rpois(100, 10), sd = rpois(100, 5)) mysmp <- mdply(pars, rnorm, n = 1000) > dim(mysmp) [1] 100 1001 # 100 rows of samples of 1000 + sample identifier HTH, Dennis On Tue, Sep 14, 2010 at 12:14 PM, J.K. Bruxer < bruxe...@univmail.cis.mcmaster.ca> wrote: > Hi, > > I want to sample from a distribution (say a normal distribution, for > example) using vectors of the different parameters (i.e. the mean and > standard deviation). That is, I have a list/vector of say 100 means and > another of the corresponding 100 SD's, and I want a matrix of 100 rows (one > for each mean and SD pair) each having 1000 random samples. > > Something like: > > sample_matrix = rnorm(n=1000, mean=vector_of_100_means, > sd=vector_of_100_corresponding_SDs) > > Is this possible? Thanks for any help in advance. > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
