Yes. Thanks Marc. I stand corrected. -- Bert Bert Gunter
"Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." -- Clifford Stoll On Wed, Sep 16, 2015 at 1:28 PM, Marc Schwartz <[email protected]> wrote: > >> On Sep 16, 2015, at 1:06 PM, Bert Gunter <[email protected]> wrote: >> >> Yikes! The uniform distribution is a **continuous** distribution over >> an interval. You seem to want to sample over a discrete distribution. >> See ?sample for that, as in: >> >> sample(1:4,100,rep=TRUE) >> >> ## or for this special case and faster >> >> sample.int(4,size=100,rep=TRUE) > > > Bert, > > I am not sure that it is really faster, since internally, sample() calls > sample.int(): > >> sample > function (x, size, replace = FALSE, prob = NULL) > { > if (length(x) == 1L && is.numeric(x) && x >= 1) { > if (missing(size)) > size <- x > sample.int(x, size, replace, prob) > } > else { > if (missing(size)) > size <- length(x) > x[sample.int(length(x), size, replace, prob)] > } > } > > > set.seed(1) > >> system.time(x1 <- sample(1e10, 1e8, replace = TRUE)) > user system elapsed > 2.755 0.170 2.925 > > > set.seed(1) >> system.time(x2 <- sample.int(1e10, 1e8, replace = TRUE)) > user system elapsed > 2.767 0.183 2.951 > > >> all(x1 == x2) > [1] TRUE > > > Regards, > > Marc > > >> >> Cheers, >> Bert >> >> Bert Gunter >> >> "Data is not information. Information is not knowledge. And knowledge >> is certainly not wisdom." >> -- Clifford Stoll >> >> >> On Wed, Sep 16, 2015 at 10:11 AM, thanoon younis >> <[email protected]> wrote: >>> Dear R- users >>> >>> I want to generate ordered categorical variable vector with 200x1 dimension >>> and from 1 to 4 categories and i tried with this code >>> >>> Q1=runif(200,1,4) the results are not just 1 ,2 3,4, but the results with >>> decimals like 1.244, 2.342,4,321 and so on ... My question how can i >>> generate a vector and also a matrix with orered categorical variables and >>> without decimals just 1,2,3 ,4 ,1,2,3,4, .... >>> >>> Many thanks in advance > ______________________________________________ [email protected] 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.
