Does the following not do what you want? k1 <- c(0.005, 0.200, 0.300, 0.400, 0.500, 0.600, 0.700, 0.800, 0.900, 1.000, 1.100, 1.200, 1.300, 1.400, 1.500, 1.600, 1.700, 1.800, 1.900, 2.000, 5.000, 10.000) k1
xr <- lapply(k1, rnorm, n=20) xr On Fri, Oct 23, 2015 at 1:51 AM, Erin Hodgess <erinm.hodg...@gmail.com> wrote: > Hello! > > I would like to create a list of random values, based on various means. > Here are the potential mean values: > >> k1 > [1] 0.005 0.200 0.300 0.400 0.500 0.600 0.700 0.800 0.900 1.000 > 1.100 1.200 1.300 1.400 > [15] 1.500 1.600 1.700 1.800 1.900 2.000 5.000 10.000 > > There are 22 of them. > > My original thought was to use "do.call" to produce a list of 22 items of > size 20. > >> xr <- do.call("rnorm",args=list(n=20,mean=k1)) >> xr > [1] -1.46443269 0.83384389 0.39176720 -0.17954959 0.28245948 > -0.44148055 1.98009926 1.73881739 > [9] 1.37312454 1.40509257 -0.03762214 0.43636354 1.82175069 > 1.96439065 2.71731752 1.02388062 > [17] 1.20732047 3.08650964 0.87910868 0.13018727 >> > > However, I am just getting back one set of size 20. What am I doing wrong, > please? Or do I need to do a loop, please? I thought that there must be a > more elegant solution. > > This is on a Macbook Air, R version 3.2.2 > > Thanks so much, > Sincerely > > -- > Erin Hodgess > Associate Professor > Department of Mathematical and Statistics > University of Houston - Downtown > mailto: erinm.hodg...@gmail.com > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.