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Hello all, I currently have this function: drift <-function(p0=0.4,N=40,ngen=55){ p = p0 for( i in 1:ngen){ p = rbinom(1,2*N,p)/(2*N) } return( p ) } I want to repeat it 1000 times, then do some analysis on the results. I've tried using the rep() function, but that only gives me repeats of the first value of p. How can I get 1000 values of p for different iterations of the

Hey guys, I've search a few threads about deleting a value from a vector, but no one has addressed this question so far. I want to delete the last value from a string of values I have: r = [ 1, 2, 3, 4, 5 ], and i want to make r2 = to [ 1, 2, 3, 4] So that r2 is just like r, except that it missing the final value. Thanks, -- View this message in context:

Hi dear all, I'm wondering about the question that; Does the influence.measures(model) for linear models valid for general linear models such as logistic regression models? That is; If I fit the model like model <- glm( y~X1+X2, family=binomial) Then, if i apply the function "influence.measures(model), i will get the result of influence measures. These result are valid for

Hello All, My algorithm as follows; y <- c(1,1,1,0,0,1,0,1,0,0) x <- c(1,0,0,1,1,0,0,1,1,0) n <- length(x) t <- matrix(cbind(y,x), ncol=2) z = x+y for(j in 1:length(x)) { out <- vector("list", ) for(i in 1:10) { t.s <- t[sample(n,n,replace=T),] y.s <- t.s[,1] x.s <- t.s[,2] z.s <- y.s+x.s out[[i]] <- list(ff <- (z.s), finding=any (y.s==y[j])) kk