search for: mypop

...################### ### Run the whole code below to create mysample: intercor<-0.3 # intercorrelation among all predictors k<-10 # number of predictors sigma<-matrix(intercor,nrow=k,ncol=k) # matrix of intercorrelations among predictors diag(sigma)<-1 require(mvtnorm) set.seed(123) mypop<-as.data.frame(rmvnorm(n=100000, mean=rep(0,k), sigma=sigma, method="chol")) names(mypop)<-paste("x",1:k,sep="") set.seed(123) mypop$x11<-sample(c(0,1),100000,replace=T) set.seed(123) betas<-round(abs(rnorm(k+1)),2) # desired betas Y<-as.matrix(mypop) %...

Hello - I have a population of 100 individuals that I would like to bootstrap 10 times, every time removing 5 *different* individuals. So far, I have done the following: pop <- read.table('mypop.txt', header=FALSE) replicate(10, sample(pop, 95, replace=FALSE)) I have not actually gone through each of the 10 files created to make sure no single individual was removed more than once during the 10 bootstraps. But will the above syntax achieve this object? Thanks V

.../share/ssl/private/dovecot.pem login_dir = /var/run/dovecot-login login = imap login = pop3 mbox_locks = fcntl auth = default auth_mechanisms = plain auth_userdb = passwd auth_passdb = pam auth_user = root auth_verbose = no .fetchmailrc on client machine -------------------------------------- poll mypop.server.com protocol pop3 user "jsun" password "xxxx" is jsun here ssl