Hi Thierry, I think it should be possible to generate such correlated data using a mixed model approach:
1) Generate pairs of correlated linear predictor values using an ordinary linear mixed model setup (for example using rnorm() repeatedly) 2) Back-transform these values using the inverse logit (or similar link function) to obtain probabilities 3) Draw binomial responses using the probabilities from 2) (using rbinom()) You may need to use trial-and-error to get the right amount of correlation. Christian ______________________________________________ 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.
