Re: [R] generate random number without repetition

if you want to sample integers in [1, 33K] without replacement: theSample = sample(33000, 18000) b On Sep 23, 2009, at 7:29 PM, phoebe kong wrote: Hi all, I would like to generate ~18K random number from range 1 to ~33K. I was thinking to use round(runif(18000,1,33000)), however the some

[R] generate random number without repetition

Hi all, I would like to generate ~18K random number from range 1 to ~33K. I was thinking to use round(runif(18000,1,33000)), however the some random numbers generated are repeated. Do you know a better way? thanks, phoebe [[alternative HTML version deleted]] __

Re: [R] generate random number

Hi Dimitris, Appreciate for your reply with detailed information, many thanks! I realize that generating random number won't be so simple more than I expected, but got some hints from the advice. I am actually hoping to do a parametric bootstrap likelihood test, because this is the way of testing

Re: [R] generate random number

check the following code: # settings n <- 100 # number of sample units p <- 10 # number of repeated measurements N <- n * p # total number of measurements t.max <- 3 # parameter values betas <- c(0.5, 0.4, -0.5, -0.8) # fixed effects (check also 'X' below) sigma.b <- 2 # random effects variance

[R] generate random number

Hi everybody, I am currently working on glmmML() and wish to generate random number to do some tests, however, glmm was hypothesized the mixed distributions with normal and binomial in terms of having a random effect. How would you be able to generate random number in this case? Is there a functi