Hi Serdar, Take a look at the following:
> sample(0:9, 100, replace = FALSE) Error in sample(0:9, 100, replace = FALSE) : cannot take a sample larger than the population when 'replace = FALSE' > sample(0:9, 100, replace = TRUE) [1] 5 6 5 7 3 0 8 4 8 2 2 4 7 6 0 7 0 0 0 7 5 6 3 6 0 9 6 1 2 6 9 0 0 4 7 9 8 6 4 7 0 [42] 4 6 1 8 2 5 6 3 6 5 1 7 6 0 9 5 5 3 6 3 8 7 5 1 2 3 6 6 9 3 6 5 6 2 5 9 3 6 5 0 7 [83] 8 0 8 7 3 9 9 1 4 4 1 1 0 9 8 1 9 3 HTH, Jorge On Sun, May 29, 2011 at 6:38 PM, SERDAR NESLIHANOGLU <> wrote: > Hi > > Also , same problem to create discrete uniform Distribution , > > But sample () and runif() not useful to generate discrete uniform . > > Ex: > > > > u<-round(runif(10*10,min=1,max=10),0) > > > table(u) > > u > > 1 2 3 4 5 6 7 8 9 10 > > 6 10 9 10 14 6 11 14 12 8 > > > > Not useful for large number > > > OR > > # for generate large number > > > dus <- sample(0:9, 100, replace = FALSE) > > Error in base::sample(x, size, replace = replace, prob = prob, ...) : > > cannot take a sample larger than the population when 'replace = FALSE' > > > #### DO you have any suggestion my question ? > > > Need to generate 1000*10 number from 1:250 with discrete uniform > distribution ? > > > Regards, > > Serdar > > [[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. > [[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.
