mathematical optimization - Optimize a function several times R code -


i have function. can estimate parameters easily. 

sex <- c("f","m","f","m","f") age <- rnorm(5,28,1.2)  dat <- data.frame(sex,age) myfun <- function(par, x1,x2){      -sum(log(exp(par[1]*x1+par[2]*x2))) } myf <- optim(myfun, par=c(0.1,0.4), x1=dat$age,x2=as.numeric(dat$sex))$par

i want optimize function 10 times. if use replicate(10,myf) gives same values 10 times. guess give different parameter estimates every time due age <- rnorm(5,28,1.2). want using loop, how can proceed?

i'm not sure need, work you?

myfun <- function(par, x1,x2){    -sum(log(exp(par[1]*x1+par[2]*x2))) }  sex <- c("f","m","f","m","f")  (i in 1:10){ age <- rnorm(5,28,1.2)  dat <- data.frame(sex,age) print(optim(myfun, par=c(0.1,0.4), x1=dat$age,x2=as.numeric(dat$sex))$par) }

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