And what is your question? Julian
sigalit mangut-leiba wrote: > Hello, > I have a simple (?) simulation problem. > I'm doing a simulation with logistic model and I want to reapet it 600 > times. > The simulation looks like this: > > z <- 0 > x <- 0 > y <- 0 > aps <- 0 > tiss <- 0 > for (i in 1:500){ > z[i] <- rbinom(1, 1, .6) > x[i] <- rbinom(1, 1, .95) > y[i] <- z[i]*x[i] > if (y[i]==1) aps[i] <- rnorm(1,mean=13.4, sd=7.09) else aps[i] <- > rnorm(1,mean=12.67, sd=6.82) > if (y[i]==1) tiss[i] <- rnorm(1,mean=20.731,sd=9.751) else tiss[i] <- > rnorm(1,mean=18.531,sd=9.499) > } > v <- data.frame(y, aps, tiss) > log_v <- glm(y~., family=binomial, data=v) > summary(log_v) > > I want to do a repetition of this 600 times (I want to have 600 logistic > models), and see all the coefficients of the covariates aps & tiss. > Thanks in advance, > Sigalit. > > [[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. ______________________________________________ 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.